Wir sorgen mit unseren Services jeden Tag dafür, dass in der Produktion unserer Kunden auf der ganzen Welt alles rund läuft. Dabei denken wir in Lösungen und optimieren entlang des gesamten Prozesses – von der Planung bis zur Instandhaltung, Modernisierung und Digitalisierung. Als Servicespezialist in der Fertigungsindustrie wissen wir, dass Menschen den Unterschied machen. Respekt, Teamspirit und Vielseitigkeit zeichnen das Arbeiten bei Leadec aus. Auf unsere Arbeit sind wir stolz – über 22.500 unterschiedliche Persönlichkeiten an über 350 Standorten auf vier Kontinenten seit über 60 Jahren. Job ID:  2103 Ort:  Ingolstadt Funktion:  Elektroinstallation & Elektrotechnik; Mechatronik; Erfahrungsniveau:  Berufserfahren Recruiting Team Kontakt:  Jutta Schwan +49 1743359246 Meister Elektro / Projektleiter / Bauleiter (m/w/d) Ab sofort im Großraum** Ingolstadt **in Vollzeit Ihr Aufgabenbereich - Für Technik begeistern: Eigenverantwortliche Leitung von Baustellen im Bereich Elektroinstallation von Industrie - und Gewerbeanlagen - **Aufgaben anpacken: **Technisch einwandfreie, termingerechte und wirtschaftliche Abwicklung sowie Erstellung aller schriftlichen Projektunterlagen (Aufmaße, Bautagebuch, usw.) - **Gewissenhaft umsetzen: **Einhaltung der vertraglichen Verpflichtungen gegenüber unseren Kunden - Verantwortung übernehmen: Kundenberatungen und Betreuungen; Personaleinsatzplanung sowie Materialdisposition nach Terminplan und Menge - Kooperation leben: Kooperative Führung eines Mitarbeiterteams; regelmäßige Teilnahme an Bau- und Projektbesprechungen während der Abwicklungsphase Ihr Profil - Ausbildung: Elektroniker (m/w/d), Elektriker (m/w/d) mit mehrjähriger Berufserfahrung und Weiterbildung zum Elektromeister (m/w/d) - **Erfahrung: **In der Montage und Inbetriebnahme von Elektroleistungen sowie Leitung von Baustellen - Kenntnisse: Fundierte Fachkenntnisse in der eigenverantwortlichen Steuerung von Projekten im Bereich Industrieanlagen; MS-Office (Word, Excel und PowerPoint) - **Zusatzqualifikation: **Führerschein Klasse B (3) - Sprachen: Deutschkenntnisse erforderlich Ihre Benefits - **Sicherheit: **Die Sicherheit eines großen, global tätigen Unternehmens mit hohen Standards für die Arbeitssicherheit - Perspektiven: Strukturierte Einarbeitung in den neuen Aufgabenbereich, Aus- und Weiterbildungsmöglichkeiten z. B. über unseren Leadec Campus - **Vergütung: **Attraktive, der Qualifikation entsprechende Vergütung - Urlaub: 30 Tage Urlaubsanspruch - Benefits: „Me@Leadec“ macht Ihnen unsere Benefits zugänglich, z. B. betriebliche Altersvorsorge, zahlreiche Vergünstigungen für Mitarbeiter, darunter u.a. lokale Gesundheits- und Sportangebote sowie die Möglichkeit zum Leasing eines Dienstfahrrades (auch zur privaten Nutzung) - **Transparenz: **Einfacher Zugang zu Unternehmensinformationen und Neuigkeiten über unsere Mitarbeiter App "we.do" Ergänzende Informationen: Anforderungen an den Bewerber: Erweiterte Kenntnisse: Projektmanagement, Montage (Elektrotechnik), Inbetriebnahme, Bauleitung, Microsoft Office

No shifts, excellent working environment, exciting tasks and professional autonomy
The Department of Interdisciplinary Trauma Treatment (ATT) in the city of Middelfart is looking for a dedicated psychiatrist.

At ATT, we offer psychiatric assessment and multidisciplinary treatment of trauma-related mental disorders in traumatized refugees, and others in need of specialized PTSD treatment.

We offer a permanent position with shared responsibility for developing the medical field, with a high degree of professional autonomy, no shifts, no on-call duty and a strong interdisciplinary environment.

Living and working in Denmark
You will be working in a welfare state with mutual trust between employees and managers. The work-life balance here is among the best in the world and you will have the possibility for professional development.

We know that living and working in a new country is a big challenge. At our hospital, we have great experience of receiving and integrating foreign colleagues and we do our very best to help you adjust to your new surroundings.
At arrival, you will participate in our well-tested onboarding program, which consists of relocation support, thorough introduction to the workplace, help with all practical matters and an intensive in-house language course.

Work tasks
Eventually, you will get a central medical role in the department with tasks like:

• Participating in ensuring high quality in the assessment and treatment of patients with PTSD and comorbidity.
• Responsibility for medication treatment and follow-up in collaboration with nurses.
• Contribution to qualified differential diagnostics (psychiatric and somatic).
• Participating in visitation meetings.

The professional environment
We are a department with approximately 50 employees (psychologists, nurses, physiotherapists, social workers, specialists, etc.), where collaboration and professional dialogue are integral parts of everyday life.
We want to prioritize and actively work to strengthen the medical environment.

The patients
Our patients often suffer from complex and long-term stressors, including after-effects of war, violence, flight and multiple psychological trauma.

We therefore focus on:

• Sustainable working life and realistic pace.
• Supervision and development of personal competence within the field of trauma-focused treatment.
• Prevention of stress and secondary traumatization.

We expect that you

• Can obtain Danish authorization as a specialist doctor – we will guide you in this process of achieving this.
• Are skilled in communication and collaboration.
• Thrive in an interdisciplinary environment and want to contribute actively to joint solutions.
• Have general psychiatric experience.
• Have interest in or experience with PTSD and complex patient processes.
• Have experience in the trauma field. (This is an advantage – although not a prerequisite).
• Are willing to settle into a new country.

We offer:

• A well-run department with a great working environment.
• Highly skilledand committedcolleagues.
• A structured introduction with a mentor and gradual start-up.
• Influence on task portfolio and working style.
• Interdisciplinary collaboration and sparring with experienced colleagues in a working environment with a focus on psychological safety and professional quality.
• Opportunity for professional immersion.
• Intensive language course at the hospital – also for your partner.

The Region of Southern Denmark, a place for you to stay – and for your family
Middelfart is a beautiful city located centrally in Denmark close to the international airport in Billund, an hour's drive to the Danish-German border and an hour and a half to the capital of Copenhagen.
The city is located by the sea in beautiful surroundings with a wealth of nature experiences, art and culture and many different leisure opportunities.

Your employment starts with learning the Danish language. You will participate in our well-tested in-house language class that takes place in small groups with other international doctors and nurses. The classes will focus on communicative tasks so you will quickly be able to communicate with patients and colleagues. There are classes every day and after 5-6 months, you work full-time and continue Danish lessons in the evening class.

If you are coming to Denmark with a partner and/or kids, we are committed to secure that the move is successful for the entire family. Public schools are free in Denmark and there are many different opportunities for kids to participate in leisure activities. We offer free Danish language course for partners and are happy to advice on job search and settlement opportunities.

The recruitment process follows these steps:

1. You send us your CV and an application.
2. We will have an informal online conversation
3. We will invite you to a recruitment visit. (Including visit at the department, meeting your future colleagues, job interview, exploring the area and housing options and lots of information about everything that awaits you).
4. You move to Denmark.
5. You start the intensive language teaching as a part of the employment.
6. You start working at the department, where you will be assigned a mentor and an introductory program that ensures that you receive a thorough introduction to the work tasks and the Danish healthcare system.

We look forward to hearing from you
If you are considering moving to Denmark, learning a new language and want to be a part of a great workplace, we are more than happy to hear from you!

We welcome all qualified candidates to apply regardless of gender, age, disability, different national or ethnic backgrounds and sexual orientation.

Do you want to know more?
If you want to know more about working and living in Denmark we recommend that you look at: https://www.workindenmark.dk/ and read more about living in Middelfart at: https://www.visitmiddelfart.com/

Please contact:
Maria Jensen
Head of international recruitment
E-mail: maria.jensen3@rsyd.dk
WhatsApp: +45 51836867

Janus Staffe
Head of Department
E-mail: janus.staffe@rsyd.dk

Om stillingen

Er du interessert i politisk økonomi, politisk makt, institusjoner og hvordan økonomiske interesser former samfunnsutviklingen nasjonalt, historisk eller internasjonalt? Da inviterer vi deg til å søke stillingen som doktorgradsstipendiat ved Institutt for industriell økonomi, strategi og statsvitenskap ved USN Handelshøyskolen.

Stillingen er en fireårig fulltidsstilling med oppstart fra 01.01.2027. Stillingen omfatter 75 prosent doktorgradsarbeid og 25 prosent annet karrierefremmende arbeid (undervisning, veiledning og administrative oppgaver). Arbeidssted er campus Drammen.

Om doktorgradsprosjektet

Den som ansettes, skal formulere et doktorgradsprosjekt innenfor politisk økonomi. Politisk økonomi undersøker samspillet mellom økonomiske prosesser, politiske institusjoner og samfunnsmessige maktforhold, herunder hvordan ressurser fordeles og politiske beslutninger formes av interesser, ideer og institusjoner.

Prosjektet må falle innenfor en Phd i Management, og én eller flere av tre retninger av politisk økonomi.

Moderne politisk økonomi, for eksempel studier av hvordan politiske institusjoner, partier, interessegrupper og økonomiske aktører former beslutninger om skatt, velferd, arbeidsliv, energi, klima eller ulikhet.

Historisk politisk økonomi, for eksempel studier av hvordan kriser, reformer, og klasseaktører, eller politiske institusjoner har formet økonomisk utvikling eller velferdspolitikk.

Internasjonal politisk økonomi, for eksempel studier av hvordan handel, finans, globale verdikjeder, internasjonale organisasjoner eller geopolitiske maktforhold påvirker nasjonale økonomier og politiske beslutninger.

Den som ansettes, vil få undervisning – og veiledningsoppgaver fortrinnsvis på bachelor i statsvitenskap og inngå i forskningsgruppen Politisk kultur. Stipendiaten vil også kunne delta i den internasjonale forskningsgruppen tilknyttet NFR-prosjektet «Partienes makt (PoPs): Opphavet til en nordisk velferdsstat», ledet av Magnus B. Rasmussen, samt i andre relevante prosjekter ved instituttet. Les mer om PoPs prosjektet her. 

Det er forventet at du i løpet av doktorgradsprosjektet skal

• Fullføre doktorgradsutdanningen frem til doktorgrad innen ansettelsesperioden
• Utføre forskning av god kvalitet innenfor rammene beskrevet ovenfor
• Skrive vitenskapelige publikasjoner
• Delta i forskningsgruppen i forskningsgruppen Politisk kultur. 
• Delta på relevante kurs i doktorgradsprogrammet
• Undervise – og utføre veiledningsoppgaver fortrinnsvis på bachelor i statsvitenskap. Det skal undervises på norsk i disse emnene.
• Delta i nasjonale og/eller internasjonale aktiviteter som f.eks. konferanser
• Være forberedt på endringer i arbeidsoppgavene dine etter ansettelse

Kvalifikasjoner

For å bli ansatt som stipendiat så må du ha: 

• Mastergrad (normalt 120 STP) innen statsvitenskap eller lignende forskningsfelt som business, samfunnsøkonomi, sosiologi, sammenlignende politikk eller politisk økonomi.
  • Har du høyere utdanning fra utlandet må du ha søkt om å få den godkjent av Direktoratet for høyere utdanning og kompetanse. Godkjenningen er en forutsetning for ansettelse. 
• Vektet karaktergjennomsnitt på B eller bedre på mastergraden
• Levert mastergraden til vurdering innen søknadsfrist for stillingen og godkjent før tiltredelse
• Dokumentert god metodekompetanse, både kvantitativ og kvalitativ metode på masternivå
• Dokumenterte ferdigheter i engelsk, både skriftlig og muntlig (se «Krav til kompetanse i engelsk)
• Dokumenterte ferdigheter i norsk (svensk og dansk), både skriftlig og muntlig (se «Krav til kompetanse i norsk»)

Det er en fordel om du har undervisningserfaring.

NB: Det er et krav at du senest etter tre måneder etter oppstart i stillingen oppfyller de formelle kravene for opptak til USNs doktorgradprogrammer og USN Handelshøyskolen sitt doktorgradsprogram i Management.

Personlige egenskaper

For å fullføre en doktorgrad innen fristen er det viktig at du har de rette personlige egenskapene. Det vil si at du kan:

•  Vise motivasjon for og potensiale for forskning innenfor fagfeltet
• Jobbe selvstendig, men også delta i teamarbeid
• Jobbe strukturert, sette mål og legge planer for å nå dem og evner å justere planen for prosjektet ved behov
• Presentere og diskutere forskningen din med andre fagfolk
• Jobbe konstruktivt under press eller i møte med motgang
• Analysere data, vurdere ulike perspektiver og trekke velbegrunnede konklusjoner

Krav til kompetanse i norsk

Svært gode ferdigheter i norsk, både skriftlig og muntlig, er påkrevd i stillingen. Undervisning- og veiledning i stillingen vil foregå på norsk. Søkere utenfor Norden må derfor kunne dokumentere oppnådd nivå C1 etter CEFR-standard i søknaden.

Kompetanse i svensk eller dansk er likestilt med norsk. Norskferdigheter kan dokumenteres på følgende måter:

• vitnemål fra videregående skole
• vitnemål fra høyere utdanning fullført på et skandinavisk språk

Krav til kompetanse i engelsk

Svært gode ferdigheter i engelsk, både skriftlig og muntlig, er påkrevd i stillingen. Internasjonale søkere må dokumentere dette med et gyldig sertifikat fra en av følgende tester. Spesifikke krav til karakterer finnes på vår nettside English requirement for programmer og undervist på engelsk ved USN.

• TOEFL – Test of English as a Foreign Language, Internet-Based Test (IBT)
• IELTS – Internasjonal tjeneste for testing av engelsk språk
• Sertifikat i avansert engelsk (CAE) eller sertifikat for engelskferdighet (CPE) fra University of Cambridge
• PTE Academic – Pearson Test of English Academic

Følgende søkere er unntatt fra kravene nevnt ovenfor:

• Søkere med ett års fullførte universitetsstudier i Australia, Canada, Irland, New Zealand, Storbritannia eller USA
• Søkere som har fullført en mastergrad med engelsk som undervisningsspråk i et EU- eller EØS-land
• Søkere som er unntatt basert på Direktoratet for høyere utdanning og ferdigheter (HK-dir) sin GSU-liste (Høyere utdanningsopptak for utenlandske søkere)

Søkere fra Norge kan bekrefte sine engelskkunnskaper ved å sende inn vitnemål fra videregående skole.

Prosjektbeskrivelse

En prosjektskisse på 6 sider, inkludert referanseliste, må legges ved søknaden. 

Prosjektbeskrivelsen skal ta utgangspunkt i et valgt tema innenfor politisk økonomi, jf. beskrivelsen over, og skissere et fireårig forskningsprosjekt. Den skal inneholde en tydelig problemstilling, relevant teori, metode, mulige datakilder og en framdriftsplan for prosjektets ulike deler. Opptak til ph.d.-programmet vil bygge på prosjektbeskrivelsen.

Kandidater som kalles inn til intervju, vil bli bedt om å presentere prosjektbeskrivelsen sin, etterfulgt av spørsmål og kommentarer fra intervjukomiteen.

Når søknaden vurderes, vil det bli lagt spesielt vekt på

• Formelle kvalifikasjoner og dokumentert faglig nivå
• Prosjektets vitenskapelige kvalitet, originalitet og relevans for utlysningen
• Prosjektets teoretiske, empiriske og metodiske forankring
• Gjennomførbarhet innenfor stipendiatperiodens tidsramme
• Kandidatens forskningspotensial, analytiske evner og faglige selvstendighet
• Prosjektets relevans for nasjonal og internasjonal forskning innen politisk økonomi
• Pedagogiske ferdigheter
• Personlig egenhet for doktorgradsstudier. 

Vi tilbyr deg

• Forskerutdanning i et ambisiøst arbeidsfellesskap og et inkluderende arbeidsmiljø.
• Karriereveiledning gjennom hele doktorprogrammet, inkludert veiledning til å søke forskningsmidler for videre karriere i norsk forskningsråd søknadsprogrammer som Mobilitetspostdoktor, Radikale Forskningsideer eller tilsvarende programmer. 
• Et ambisiøst arbeidsfellesskap og et inkluderende arbeidsmiljø
• lønn etter Statens lønnsregulativ som stipendiat (stillingskode 1017) kroner 550 800. I særskilte tilfeller kan kode 1378 benyttes. Videre opprykk skjer etter tjenesteansiennitet i stillingen.
• Medlemskap i Statens pensjonskasse som sikrer gode pensjons-, forsikrings- og låneordninger. Fra lønnen trekkes lovfestet innskudd til Statens pensjonskasse.

Mangfold

Vi mener at mangfold er en ressurs i vårt arbeids- og læringsmiljø. Ulike erfaringer og bakgrunner, bidrar til ulike perspektiver og bedre løsninger på utfordringer som skal løses. Vi er opptatt av å respektere hverandres ulikheter, og vil legge til rette for ansatte med nedsatt funksjonsevne. Vi tar hensyn til dine behov og din situasjon i ulike livsfaser. 

Synes du denne stillingen er interessant, oppfordrer vi deg til å søke, uavhengig av kjønn, funksjonsevne, kulturell bakgrunn eller om du i en periode har vært utenfor arbeidslivet. Er det kvalifiserte søkere med funksjonsnedsettelse, hull i CV-en eller innvandrerbakgrunn, innkaller vi minst én søker i hver av disse gruppene til intervju. Kjenner du deg igjen i en av disse kategoriene, kan du krysse av i jobbsøkerportalen vår.

Bli kjent med oss

Universitetet i Sørøst-Norge (USN) er blant landets største høyere utdanningsinstitusjoner, med rundt 18 000 studenter og 1900 ansatte.

Video: https://vimeo.com/898549899/60305e2540

Generell informasjon

Tilsettingsorganet for stipendiatstillinger (TUS) er ansettende myndighet. Din kompetanse for stillingen vil bli vurdert av et sakkyndig utvalg. Det sakkyndige utvalget vil vurdere din kompetanse for stillingen med utgangspunkt i dokumentasjonen du har registrert i Jobbnorge. 

På bakgrunn av sakkyndig utvalgs uttalelse vil aktuelle søkere bli invitert til intervju og prøveforelesning. Det vil også bli innhentet referanser for aktuelle kandidater. Ansettelser hos oss blir gjennomført etter prinsippene i statsansatteloven.

Universitetets Retningslinjer for rekrutteringsstillinger ved USN gir nærmere omtale av kriteriene for ansettelse som stipendiat. 

Som ansatt hos oss må du til enhver tid rette deg etter endringer som utviklingen i faget medfører, og de organisatoriske endringer som vedtas.

Hvordan søke

Synes du dette ser interessant ut, og er i samsvar med dine kvalifikasjoner, sender du oss din søknad elektronisk.  I søknadsteksten må du tydeliggjøre din kompetanse og motivasjon for stillingen. 

Søknaden må inneholde:

• Søknadsbrev (cover letter): søknadsteksten må tydeliggjøre din kompetanse og motivasjon for stillingen (maks 1 side). 
• Attesterte vitnemål av bachelor- og mastergrad. Vitnemålene må være på skandinavisk eller engelsk.
  • Har du høyere utdanning fra utlandet må den godkjennes av Direktoratet for høyere utdanning og kompetanse før oppstart i stillingen. Legg ved dokumentasjon på at den er godkjent eventuelt dokumentasjon på at utdanningen er automatisk godkjent. Du må ha sendt inn søknad for godkjenning innen søknadsfristen til denne stillingen utløper; kvitteringen (e-posten) må legges ved. Godkjenningen må ettersendes og er en forutsetning for ansettelse
• Vitnemål/dokumentasjon på metodekunnskap
• En forklaring av karaktersystemet for utenlandsk utdanning (vitnemålstillegg hvis tilgjengelig)
• Masteroppgaven. Er denne skrevet i fellesskap må du legge ved en kort redegjørelse om din medvirkning. Dersom masteroppgaven ikke er innlevert ved søknadstidspunktet, så må du legge ved en sides resymé.
• Andre relevante attester eller vitnemål
• Maks 6 siders prosjektbeskrivelse, inkludert referanser (se «Prosjektbeskrivelse»)
• Dokumentasjon på norsk språkferdigheter (se «Krav til kompetanse i norsk») 
• Dokumentasjon på engelsk språkferdigheter (se «Krav til kompetanse i engelsk») 
• Eventuelle vitenskapelige publikasjoner og liste over disse
• Kontaktinformasjon til inntil to referanser.

Følgende dokumenter må leveres senest én uke før intervjuet kan finne sted:

• For søkere fra utenfor Norden krever vi gyldig dokumentasjon på engelskkunnskaper (TOEFL eller IELTS))
• For søkere med høyere utdanning utenfor Europa krever vi gyldig dokumentasjon på GMAT- eller GRE-resultater

Søknaden vil bli vurdert basert på informasjonen som er tilgjengelig i Jobbnorge ved utløpet av søknadsfristen. Sørg for at søknaden din tydelig viser hvordan dine ferdigheter og erfaring oppfyller kompetansekravene som er beskrevet i stillingsannonsen.

Når vi vurderer hvem som er best kvalifisert for stillingen, legger vi vekt på utdanning, erfaring og personlige egenskaper.

All dokumentasjon må leveres på et skandinavisk språk eller engelsk. Hvis vedleggene overstiger 30 MB totalt, må de komprimeres før opplasting.

Vennligst merk at informasjon om deg som søker kan offentliggjøres selv om du har bedt om å ikke bli inkludert på den offentlige søkerlisten (jf. paragraf 25 i den norske informasjonsloven). Du vil bli varslet dersom din forespørsel om unntak fra offentliggjøring blir avslått.

Vi vurderer kun søknader og vedlegg registrert i Jobbnorge. På forespørsel må du kunne levere sertifiserte kopier av dokumentasjonen din.

Kontaktinformasjon

Informasjon om stillingen
Professor og instituttleder Gillian Warner-Søderholm gillian.warner-soderholm@usn.no +47 35 57 52 97

Professor og forskningsleder og Magnus B. Rasmussen Magnus.Rasmussen@usn.no, +47 99 51 74 77 

For spørsmål om søknadsprosessen
Seniorrådgiver Lone Mette Solberg lone.mette.solberg@usn.no 

Om arbeidsgiveren:

USN er universitet nær deg. Her jobber vi sammen for å finne løsninger. For lokalsamfunnet, verden og alle oss som bor her. På våre campuser fra fjord til fjell vil du jobbe i nærheten av hjemstedet ditt på sørøst-landet. Her gjør du en meningsfull jobb blant yrende studentliv og innovative forskningsmiljøer. Du får en arbeidsplass som er tett på de store samfunnsutfordringene – og samtidig nær løsningene på dem. Et arbeid vi gyver løs på med våre aller beste virkemidler: utdanning og forskning.

Vi tilbyr profesjonsorienterte og arbeidslivsrettede utdanninger, forskning og kunnskapsformidling med høy internasjonal kvalitet. Som ansatt får fordype deg i ditt eget felt, samtidig som du har tilgang til en buffet av muligheter for utvikling og læring. Gjennom de offisielle kanalene – og gjennom et nettverk av kunnskapsrike og rause kollegaer som kan mye om mangt.

USN er resultatet av fusjoner mellom tidligere høyskoler. Høyskolen i Sørøst-Norge ble dannet 1. januar 2016 da Høyskolen i Buskerud og Vestfold fusjonerte med Høyskolen i Telemark. Høyskolen fikk universitetsstatus i 2018. Rektoren vår heter Pia Cecilie Bing-Jonsson.

Les mer om hvordan det er å jobbe på Universitetet i Sørøst-Norge.

USN Handelshøyskolen tilbyr bachelor- og masterutdanninger innen en rekke fagområder, samt en ph.d.-utdanning i Management. I tillegg til flere årsstudier og mange videreutdanningsstudier. USN Handelshøyskolen tilbyr økonomi- og lederutdanninger på deltid på campus og nett. Vi har alt fra enkeltemner på bachelornivå til årsstudium i ledelse eller full mastergrad som man kan ta ved siden av jobb.

Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), headquartered in Frankfurt am Main, is seeking to fill the following position in the Research Group Digital Collectomics at the Senckenberg Institute for Plant Form and Function starting as soon as possible Postdoc (m/f/d) for AI-driven Method Development for Collection-based Research Location: Jena, Germany Employment scope: Full-time (40 hours/ week) / part-time options are available Type of contract: The contract shall start at the earliest possible date. The position is limited to 2 years Remuneration: Collective agreement of the German Länder, TV-L E 13 The Senckenberg Society for Nature Research is a member of the Leibniz Association and has been investigating the “Earth System” worldwide for more than 200 years, examining the past, analysing the present, and developing projections for the future. We conduct integrative geobiodiversity research with the aim of understanding nature in all its complexity and diversity in order to preserve it as the foundation of life for future generations and to ensure its sustainable use. Across eight institutes and five research stations throughout Germany, scientists from more than 40 countries conduct research at the highest international level. The Senckenberg Institute for Plant Form and Function at Friedrich Schiller University Jena is the eighth and most recently founded Senckenberg institute. Located in the vibrant university city of Jena in Thuringia and forming part of an international network, it brings together the renowned Herbarium Haussknecht with cutting-edge research on biodiversity change in the Anthropocene. The Junior Research Group Digital Collectomics deals with the development of automated methods revolving around the extraction of information from collections, with a strong focus on herbaria, as well as the digitization process and public display thereof. We leverage the latest developments in computer vision and AI research to create broadly applicable methods that can deal with small to no available training data. Therefore, our research focuses primarily on foundation models, few- and zero-shot methods and domain generalization. In interdisciplinary cooperation with the local Herbarium Haussknecht and other partners all over Senckenberg, we create cutting-edge approaches for publication in high-ranked computer vision, machine learning and interdisciplinary venues with the ambition to convert the novel methods into directly applicable tools usable in collection-based research at Senckenberg and beyond. The selected candidate will research novel methods in the areas of foundation models, few- and zero-shot methods and domain generalization in established team projects and novel projects in order to advance collection-based research. Your Tasks • Work in (team) projects by contributing, co-developing, executing, implementing and evaluating ideas for novel AI-driven image and data analysis approaches for collection data • Establishment of own projects, research questions and approaches for image and data analysis of collection data with focus on broadly applicable methods able to deal with little available data (e.g., zero-shot, few-shot or weakly supervised approaches and foundation models) • Publication and presentation of research results in high-ranked machine learning, computer vision and interdisciplinary venues • Curation and archiving of datasets • Keeping up with current developments in computer vision and machine learning research • Support of funding acquisition and establishment of the new group at Senckenberg, including participation in outreach events • Advising of colleagues and students, including supervision of bachelor’s and master’s theses Your Profile • A doctoral degree (or in the stage of its finalization) in Computer Science or a related subject with a focus on computer vision and/or deep learning, ideally with interdisciplinary experience, or a doctoral degree (or in the stage of its finalization) in Biology with strong computer vision and deep learning background (application or research) • Experience with: Current methods, tools, languages and frameworks in computer vision and deep learning (e.g., Linux, Bash, Python, Pytorch, Gradio, Numpy, Pandas, Huggingface, Ollama) - LLMs and foundation models in general • Good organizational abilities, reliability and efficiency • An open mind-set, curiosity and a strong motivation to excel in science • A collaborative attitude and good communication skills • Excellent written and oral communication and presentation skills in English Desirable Skills: • German language skills • Experience with computing on clusters • Experience with funding-acquisition We offer • An attractive, responsible and challenging position in a globally recognized research institution with motivated and professional colleagues • A vibrant, international team of scientists in Jena and all of Senckenberg with collection-based research programs, focusing on understanding the Anthropocene Biodiversity Change • Excellent infrastructure and collaboration opportunities at SIP embedded in a lively research environment in Senckenberg and the Friedrich Schiller University Jena • Opportunities to participate in teaching and outreach activities, e.g. at Friedrich Schiller University Jena • Flexible working hours – mobile working options – employee ID card with free admis-sion to the Senckenberg museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK) Senckenberg is committed to diversity. We benefit from the different expertise, perspectives and personalities of our staff and welcome every application from qualified candidates, irrespective of age, gender, ethnic or cultural origin, religion and ideology, sexual orientation and identity or disability. Applicants with a severe disability will be given special consideration in case of equal suitability. Senckenberg actively supports the compatibility of work and family and places great emphasis on an equal and inclusive work culture. How to apply? We look forward to receiving your application. Please upload your comprehensive documentation – consolidated into a single PDF file – via our online application portal by 02 August 2026: - A letter of motivation - A CV - Publication list and academic achievements - Copies of certificates and diplomas Apply now via: https://senckenberg.career.softgarden.de/ Please note that interviews are planned to take place from August 25th onwards. We will provide further details in due course. Join us in advancing ecological research through innovative technology! We look forward to your application! Senckenberg Gesellschaft für Naturforschung Senckenberganlage 25 60325 Frankfurt am Main For specific questions about this role, please contact Dr. Matthias Körschens at matthias.koerschens@senckenberg.de. For specific questions regarding the application process, please contact recruiting@senckenberg.de. For data protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ For further information about the Senckenberg Gesellschaft für Naturforschung please visit www.senckenberg.de.

Senckenberg – Leibniz Institution for Biodiversity and Earth System Research (SGN), headquartered in Frankfurt am Main, is seeking to fill the following position in the Research Group Digital Collectomics at the Senckenberg Institute for Plant Form and Function starting as soon as possible AI Engineer (m/f/d) for Method Development and Digitization for Collection-based Research Location: Jena (Thuringia; Germany) Employment scope: Full time (40 hours per week) / part time options are available Type of contract: The contract shall start at the earliest possible date and is limited to 2 years Remuneration: Collective agreement of the German Länder, TV-L E 11 The Senckenberg Society for Nature Research is a member of the Leibniz Association and has been investigating the “Earth System” worldwide for more than 200 years, examining the past, analysing the present, and developing projections for the future. We conduct integrative geobiodiversity research with the aim of understanding nature in all its complexity and diversity in order to preserve it as the foundation of life for future generations and to ensure its sustainable use. Across eight institutes and five research stations throughout Germany, scientists from more than 40 countries conduct research at the highest international level. The Senckenberg Institute for Plant Form and Function at Friedrich Schiller University Jena is the eighth and most recently founded Senckenberg institute. Located in the vibrant university city of Jena in Thuringia and forming part of an international network, it brings together the renowned Herbarium Haussknecht with cutting-edge research on biodiversity change in the Anthropocene. The Junior Research Group Digital Collectomics deals with the development of automated methods revolving around the extraction of information from collections, with a strong focus on herbaria, as well as the digitization process and public display thereof. We leverage the latest developments in computer vision and AI research to create broadly applicable methods that can deal with small to no available training data. Therefore, our research focuses primarily on foundation models, few- and zero-shot methods and domain generalization. In interdisciplinary cooperation with the local Herbarium Haussknecht and partners all over Senckenberg, we create cutting-edge approaches for publication in high-ranked computer vision, machine learning and interdisciplinary venues with the ambition to convert the novel methods into directly applicable tools usable in collection-based research at the Senckenberg and beyond. The selected candidate will employ, adapt and assess methods from the literature in the areas of foundation models, few- and zero-shot methods and domain generalization in established team projects and novel projects, integrate the developed methods into the Senckenberg infrastructure and make developed methods usable for end users. Your Tasks • Work in team projects • Independent analysis and solution of problems, utilizing existing methods and literature in computer vision and machine learning • Development and implementation of own and team member’s ideas and approaches for novel analysis methods of collection-based data • Systematic analysis, evaluation and comparison of implemented methods • Development of deployable ML-applications based on methods developed in the group for demo purposes and end-users • Co-development, extension and curation of joint codebases • Development of automated workflows for the digitization process and the integration of digitized data in established databases • Curation and archiving of collection-based image- and text-datasets • Communication with related Senckenberg groups for integrating our work in the Senckenberg environment • Support of the group in outreach events • Supporting administration and maintenance of the institute’s server infrastructure Your Profile • Bachelor’s or Master’s Degree in Computer Science or related disciplines • Experience with o The implementation of machine learning/deep learning, ideally computer vision approaches and pipelines o Large Language Models and APIs o Current technologies, languages and frameworks for the development and deployment of ML methods (e.g., Linux, Bash, Python, Numpy, Pandas, Pytorch, Gradio, HTML, CSS, Javascript) • Good written and oral skills in English & German • Good organizational abilities, reliability and efficiency • An open mind-set, curiosity and the desire to learn new technologies • A collaborative attitude and good communication skills Desirable skills • Experience with computing on clusters • Experience with databases and web security • Experience with server administration or administration tools • Experience with Docker, CI/CD What you can expect • an attractive, responsible and challenging position in a globally recognized research institution with motivated and professional colleagues • a vibrant, international team of scientists in Jena and at Senckenberg with collection-based research programs, focussing on understanding the Anthropocene Biodiversity Change • Excellent infrastructure and collaboration opportunities at SIP embedded in a lively research environment in Senckenberg and the Friedrich Schiller University Jena • flexible working hours – mobile working options – employee ID card with free admission to the Senckenberg museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK) Senckenberg is committed to diversity. We benefit from the different expertise, perspectives and personalities of our staff and welcome every application from qualified candidates, irrespective of age, gender, ethnic or cultural origin, religion and ideology, sexual orientation and identity or disability. Applicants with a severe disability will be given special consideration in case of equal suitability. Senckenberg actively supports the compatibility of work and family and places great emphasis on an equal and inclusive work culture. How to apply? We look forward to receiving your application. Please upload your comprehensive documentation – consolidated into a single PDF file – via our online application portal by 02 August 2026 • A letter of motivation highlighting your relevant project experience and your technical expertise, • your CV, • copies of your (academic) certificates and diplomas Apply now via: https://senckenberg.career.softgarden.de/ Please note that interviews are planned to take place from August 25th onwards. We will provide further details in due course. Join us in advancing ecological research through innovative technology! We look forward to your application! Senckenberg Gesellschaft für Naturforschung Senckenberganlage 25 60325 Frankfurt am Main For specific questions about this role, please contact Dr. Matthias Körschens at matthias.koerschens@senckenberg.de. For specific questions about the application and selection process, please contact recruiting@senckenberg.de For data protection information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/. For further information about the Senckenberg Gesellschaft für Naturforschung please visit www.senckenberg.de.

Company Description As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. Job Description We are on the lookout for a Senior Manager, Product Performance - (Logistics, Self Service Products) to join the Service Product team on our journey to always deliver amazing experiences. In our Logistics Team, you’ll tackle high-impact challenges that make last-mile delivery efficient, affordable, and sustainable. Your work will directly improve experiences for riders, end customers, and merchants across the globe. Each enhancement you contribute will help Delivery Hero optimize delivery operations, supporting expansion into new areas like grocery and retail. The Service product line is responsible for all customer support-related products across Delivery Hero’s global brands — including both our AI-powered support agents, our in-house human agent-facing tools for customer issue resolution, and our Self-Service engine applications. These platforms enable millions of interactions between customers, agents, riders and vendors every month, and play a critical role in our ability to scale high-quality support across regions. In this role, you will own the performance and operational effectiveness of our Self-Service products, working closely with central Product, Analytics and Data Science teams, as well as local entities across the Delivery Hero group — including foodpanda, foodora, PedidosYa, Talabat, Hungerstation and Woowa. Your mission is to maximize the value of our products — both in cost efficiency and customer experience. What you will drive - You shape the strategic direction for Product Performance across Self-Service by aligning business priorities, OKRs and performance KPIs with Service Central teams (Product, Engineering, Analytics and Data Science). - You develop a collaborative, high-performing team by bringing clarity in ambiguity, creating structure, and helping people focus on what matters most. You lead with empathy, develop talent through coaching and structured delegation, and foster a culture of constructive challenge. - You lead end-to-end execution of performance improvement initiatives, working with teams to identify product challenges and opportunities through data and deliver scalable solutions across markets. - You support analytical problem-solving, helping teams translate complex data into clear insights, benchmarks and recommendations for senior leadership and prioritization decisions. - You build alignment with senior stakeholders, fostering shared priorities, reducing redundancies and enabling effective collaboration across central teams and regions. - You ensure high-quality data access and storytelling, partnering with data teams to co-create dashboards and visualizations that support decision-making across the organization. - You represent Product Performance in senior forums, highlighting opportunities, risks and cross-functional interdependencies, and advising on organization-wide improvements. Qualifications Experience - 6+ years of total experience, with most of it in product performance, product operations, product analytics, strategy or growth roles in a B2C tech or marketplace environment. - Experience collaborating with Product, Engineering, Analytics and Data Science teams; ideally in self-service, customer support, automation or AI support agent products. Leadership - 3+ years of people management experience, including coaching and structured delegation to develop talent and scale impact. - Proven ability to build alignment with senior stakeholders, with clear, structured communication and ability to translate strategy into operational direction. Product & Analytics - Strong business acumen, linking product performance metrics to financial and operational outcomes. - Excellent analytical skills and data storytelling, turning complex insights into clear recommendations. - Good understanding of A/B testing principles and basic experimentation methods. - Good understanding of product development processes. Nice to have - Knowledge of SQL or data querying. - Experience in global, multi-market environments. Additional Information Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape. - Make the most of our hybrid working model (https://careers.deliveryhero.com/delivery-hero/2025-9/hybrid-work-at-delivery-hero) and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week - We offer 27 days holiday with an extra day on 2nd and 3rd year of service - We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses. - Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy - Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan - The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses. - Wondering what relocating to Berlin is like? In this article, we’ve put together10 things you should know about moving to Berlin (https://careers.deliveryhero.com/delivery-hero/2025-10/blogmoving-to-berlin-guide?utm_source=jobdescription&utm_medium=bullet+text&utm_campaign=JD+Enhancements) and how Delivery Hero can support you. You can also visit our relocation hub (https://careers.deliveryhero.com/relocation-hub?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements) and check out more information about moving to Berlin. - Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers (https://careers.deliveryhero.com/delivery-hero/2025-10/the-5-most-common-interview-questions-and-how-to-answer-them?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements) created in collaboration with our recruiters. Ready to join our team? (https://careers.deliveryhero.com/howwehire) If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Weitere Berufsbezeichnung: Principal ML Engineer (Agentic AI) Stellenbeschreibung: Company Description As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. Job Description We are on a lookout for a hands-on Principal ML Engineer (Agentic AI) to join the Vendor Data Team on our journey to always deliver amazing experiences to go beyond prompt engineering into autonomous orchestration: designing agents that generate their own prompts, tools that empower AI with real-world actions, and judge models that validate outputs. Your work won’t sit in research notebooks — it’ll ship. As part of our Vendor Team, you’ll be the driving force behind the success of thousands of restaurants, shops, and local businesses. Your contributions will empower vendors with advanced tools to manage their operations, boosting their visibility and reach. Every feature you help build will create growth opportunities for businesses of all sizes, strengthening Delivery Hero’s ecosystem and impact. In the Vendor Data Team we build AI-native products that operate businesses. At our core is a 360° AI Account Manager for food delivery platforms—a system that moves beyond static ML pipelines to reason, act, and automate workflows.Our architecture integrates large-scale data pipelines, retrieval systems, and agentic components to drive real-world decisions. We believe a model is only as good as its environment; therefore, we prioritize data quality, system design, and infrastructure reliability. As an agentic-first team, we use tools like Claude Code to ensure AI actively participates in development, always grounded in robust engineering practices. Key Responsibilities: - Design and own end-to-end ML and data systems — from ingestion and transformation to model integration and production deployment - Architect and maintain scalable data pipelines for RAG, embeddings, and real-time/near-real-time data processing - Build and operate production-grade ML services and APIs, ensuring reliability, scalability, and performance - Define standards for infrastructure, deployment, and system reliability, including Infrastructure as Code, containerization, and orchestration - Integrate ML systems with external APIs, tools, and operational platforms, enabling real-world actions and automation - Lead the implementation of security best practices for AI systems, including secure prompt handling, data privacy protocols, and protection against adversarial attacks or model injection. Ensure all AI agents operate within strict authorization boundaries. Qualifications - Strong experience designing and scaling production-grade ML systems and data platforms, including large-scale deployments - Deep expertise in data engineering and ML pipelines, including feature/data pipelines, RAG systems, and embedding workflows - Proven experience building and maintaining reliable data infrastructure with strong guarantees around data quality and freshness - Strong engineering skills in Python and SQL, with experience in Docker, Kubernetes, and cloud environments - Experience with Infrastructure as Code (e.g., Terraform or similar) and building reproducible, scalable systems - Hands-on experience integrating ML systems with real-world APIs and services, and operating them in production with monitoring and observability Nice to have: - Experience with LLMs, agent architectures, or orchestration frameworks (LangGraph, AutoGen, CrewAI, etc.) - Familiarity with synthetic data generation, evaluation systems, or AI feedback loops - Experience with agent or ML observability tools such as Langfuse or LangSmith - Experience with model serving, routing, or inference optimization - Experience with open-source models (e.g., LLaMA, Mistral, Mixtral) or custom inference stacks - Knowledge of system reliability, failure handling, and safety patterns in AI systems Additional Information Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape. - Make the most of our hybrid working model (https://careers.deliveryhero.com/delivery-hero/2025-9/hybrid-work-at-delivery-hero) and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week - We offer 27 days holiday with an extra day on 2nd and 3rd year of service - We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses. - Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym. - Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan - The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses. - Wondering what relocating to Berlin is like? In this article, we’ve put together10 things you should know about moving to Berlin (https://careers.deliveryhero.com/delivery-hero/2025-10/blogmoving-to-berlin-guide?utm_source=jobdescription&utm_medium=bullet+text&utm_campaign=JD+Enhancements) and how Delivery Hero can support you. You can also visit our relocation hub (https://careers.deliveryhero.com/relocation-hub?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements) and check out more information about moving to Berlin. - Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers (https://careers.deliveryhero.com/delivery-hero/2025-10/the-5-most-common-interview-questions-and-how-to-answer-them?utm_source=jobdescription&utm_medium=bullettext&utm_campaign=JD+Enhancements) created in collaboration with our recruiters. Ready to join our team? (https://careers.deliveryhero.com/howwehire) If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Company Description As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in around 65 countries worldwide powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. Job Description We are on the lookout for a Product Manager to join the Dynamic Assortment tribe within the Quick Commerce team on our journey to always deliver amazing experiences. Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world. The Dynamic Assortment team operates as a specialized data team within the QC Assortment domain. Our mission is to maximize customer lifetime value and drive profitable growth by transforming our static product catalog into an adaptive and dynamic one. We develop and refine sophisticated data models that intelligently curate and personalize the product assortment, enhancing the customer experience and optimizing business outcomes. Our work is a critical enabler of the Quick Commerce strategy to make every product "easy to list, effortless to discover, and inspiring to convert." We are seeking a strong Product Manager to own and deliver the data products that power our intelligent digital shelf. You will work closely with data science, engineering, and cross-domain stakeholders to translate our vision into a tangible product roadmap. You will be at the forefront of transforming our static catalog into an adaptive, personalized experience by leveraging unified demand intelligence, deploying advanced machine learning models, and embedding a culture of continuous experimentation and optimization. This role requires a blend of strategic thinking, technical depth, and a passion for data. You will be responsible for the entire lifecycle of our data products, from ideation and model development to experimentation and performance monitoring, directly influencing key growth metrics such as conversion rates, average order value, and customer retention. - Drive Product Vision & Roadmap: Translate the team's vision into a clear, actionable product roadmap. Define and prioritize features and initiatives based on business impact, customer value, and technical feasibility. - Lead Data Model Development: Partner with data scientists and engineers to develop, refine, and deploy machine learning models for intelligent product curation, personalization, and substitution. - **Own Experimentation & Optimization: Embed systematic experimentation and rapid iteration into the product development workflow. Design, run, and analyze A/B tests to validate hypotheses and drive measurable improvements in algorithm performance and business KPIs. - Deliver on Key Initiatives: Lead the execution of strategic projects, such as implementing experimentation with customer-facing Category Tree structure, driving the Category Recommendation engine, and developing models for automated merchandising and cross-listing. - Cross-Functional Stakeholder Alignment: Partner with stakeholders across Merchandising, Catalog, Data Analytics, Platforms Product, and commercial teams to align on strategies and ensure our data products meet business needs. Articulate complex data concepts to non-technical audiences to build consensus and drive decision-making across our global platforms. - **Own Metrics & Performance: Establish and monitor success metrics and KPIs related to model performance, customer satisfaction, and business impact. Use data-driven insights to guide product decisions and iteration. Qualifications - ** Product & Domain Expertise:** 3–5 years in product management with a strong focus on highly technical data products with a focus on data-centric products in e-commerce, marketplaces, or Q-Commerce. Experience with personalization or recommendation engines is a strong plus. You should demonstrate a proven ability to lead technical product initiatives from conception to launch. - ** Technical Acumen & Leadership:** Proven ability to build products that leverage large datasets, machine learning models, and rigorous experimentation (A/B testing). You should be comfortable driving technical conversations with data science and engineering teams about system architecture, model performance, and data pipelines. - ** Technical Fluency:** Strong understanding of machine learning concepts, data modeling, and experimentation frameworks. You should be able to discuss trade-offs in model implementations and guide the team toward scalable, effective solutions. - ** Analytical Excellence:** Skilled in SQL and data notebooks, with the ability to derive insights, define success metrics, and iterate rapidly in fast-paced, ambiguous settings. You can independently analyze data to identify issues and opportunities. - ** Influence & Communication:** A track record of leading cross-functional teams, aligning diverse stakeholders, and clearly communicating complex ideas across technical and non-technical audiences. - ** Customer-Centric Thinking:** Ability to translate customer needs and business opportunities into data-driven product features that enhance discovery, personalization, and mission fulfillment. ** Nice to Have** - Experience with large-scale personalization or recommendation systems. - Familiarity with the lifecycle of machine learning models. - Bachelor’s degree in Data Science, Computer Science, or a related technical field, or equivalent practical experience. - Experience with merchandising or retail analytics. - Proven ability to break down complex initiatives into actionable plans and drive execution to completion. - Track record of building consensus among diverse stakeholders and driving aligned decision-making. Additional Information Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape. - Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week - We offer 27 days holiday with an extra day on 2nd and 3rd year of service - We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses. - Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym & Bicycle Subsidy - Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan - The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses. ** Ready to join our team?** If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at inclusion@deliveryhero.com. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Apply Now Development Expert (m/f/d) - - Identity & Trust Services, SAP Cloud Infrastructure Date: 04/24/2026 Company: SAP We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What You'll do: - Build enterprise cloud infrastructure that provides European data sovereignty and hyperscaler-grade capabilities. You'll work on SAP Cloud Infrastructure, solving complex distributed systems challenges at scale: multi-region networking, container orchestration, storage systems, and the APIs that connect them. - You'll develop solutions using Go, OpenStack, and Kubernetes, tackling problems like: How do you auto-scale thousands of containers across regions? How do you build resilient storage systems? How do you design APIs that handle massive traffic spikes? - Your work will power SAP's production systems and thousands of customer environments. You'll contribute to infrastructure that enables organizations to run mission-critical applications with the performance and reliability they expect from leading cloud platforms. - In your role as Development Expert, you'll guide engineering teams building SAP Cloud Infrastructure through effective agile practices and delivery methodologies that enable rapid, reliable delivery of enterprise cloud services. You'll establish frameworks that help teams efficiently tackle complex distributed systems challenges while maintaining the quality and reliability standards expected by thousands of customer environments. - Your expertise will shape how cross-functional teams coordinate to build hyperscaler-grade capabilities, implementing agile practices that support innovation in multi-region networking, container orchestration at scale, and storage systems that handle massive traffic spikes. You'll facilitate collaboration across teams working with Go, OpenStack, and Kubernetes to ensure effective delivery of production systems that compete with leading cloud platforms. - Working within SAP Cloud Infrastructure, you'll design and implement agile processes that accelerate the development of enterprise cloud services that provide European data sovereignty. Your guidance will enable teams to deliver mission-critical systems that serve SAP's global customer base, directly contributing to how European organizations maintain control over their data while accessing world-class cloud capabilities. What You Bring: - Expert Programming:  Deep expertise in  Go, Python  or similar languages, with a strong focus on  distributed systems, security-sensitive services , and cloud-native architecture; experience with Rust is a plus but not required. - Cloud & Infrastructure Knowledge: Advanced knowledge of OpenStack, Kubernetes, Docker, AWS, Azure, GCP with experience in microservices and event-driven architecture, along with infrastructure automation concepts. - Identity & Authentication Knowledge:  Strong background in  identity and authentication systems  or the  foundations of Trust Services  in cloud environments. Practical experience with technologies such as  OIDC, OAuth 2.0, SAML ,  OpenStack Keystone ,  Keycloak , or comparable IAM components is highly valued. - Technical Curiosity:  Strong interest in  authentication flows, identity lifecycles, trust relationships, and security architecture , with the motivation to continuously deepen expertise in  IAM, cryptography, and cloud trust models . - Technical Leadership:  8+ years of software development experience with a proven track record of contributing to or leading architectural decisions across teams in complex, distributed environments. - Trust Services & Cryptography (Benefit):  Experience with  Trust Services  such as  PKI, certificate management, private CAs , or secure key handling is a strong plus. Familiarity with  PKCS#11 ,  HSM devices , or hardware-backed key management solutions is beneficial but not mandatory. - Scale & Performance:  Experience designing and operating systems that handle massive traffic, multi-region deployments, and highly available, resilient distributed architectures. - Security and Compliance:  Solid understanding of  security principles and compliance requirements , with experience incorporating regulatory, risk, and trust considerations into system and architectural design. - Cultural Adaptability:  Experience working across cultures and languages, combined with strong communication skills for collaboration within diverse, distributed teams. - Soft Skills:  Excellent presentation, communication, and problem-solving skills; a structured, accurate, and self-driven working style; high level of commitment and reliability; readiness to work in a constantly evolving environment; enthusiasm for collaborating in a multinational team. Meet your team: You'll join PlusOne Central Engineering, where innovation meets collaboration. Our culture values engineering excellence, continuous learning, and diverse perspectives. We emb modern practices, support career growth, and maintain work-life balance while building enterprise-scale solutions that drive digital transformation. ​ Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for theSAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to ourGuidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 440943  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid ​ Apply Now At SAP, we know success means different things to different people. Because we firmly believe that your success leads to ours, we instill an open and flexible culture, emb your personal passions, talents, and lifestyle while supporting your ambition throughout your career. We want people who think big and dream big. And most of all, we want people who are passionate about helping businesses – and the world – run better and improve people’s lives. Find us on

Apply Now Development Manager Optimization, Quantum & AI (m/f/d) Date: 05/18/2026 Company: SAP We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you’ll do: Enterprise software is shifting from passive process infrastructure to active decision infrastructure. SAP is pioneering autonomous enterprise decision systems that combine optimization science, quantum computing, and artificial intelligence to help organizations navigate complexity and execute under real-world constraints. The Development Manager Optimization, Quantum & AI will lead the transformation of an established data science team into a strategic contributor to SAP’s autonomous decision infrastructure. You will manage a team with ten years of experience in classical analytics and guide their evolution toward building decision-capable systems that evaluate, optimize, orchestrate, and execute under dynamic constraints. This role requires dual leadership: transforming team capabilities while leveraging deep domain expertise to accelerate impact. You will bridge classical data science with decision infrastructure—moving from descriptive analytics to prescriptive systems, from model building to architecture design, and from standalone insights to integrated execution platforms. As transformation progresses, the team’s scope will expand across SAP’s entire application portfolio, positioning them as the core engine of SAP’s Autonomous Enterprise with Quantum Brain. The Role: • Lead the technical transformation of an established data science team toward autonomous decision systems, building capability in optimization algorithms, constraint-based problem solving, and hybrid computational architectures. • Integrate your team into the broader Optimization, Quantum & AI organization as strategic contributors to decision infrastructure, fostering collaboration with optimization engineers, quantum researchers, and AI architects. • Develop team expertise in quantum computing concepts and identify opportunities where quantum-enhanced solutions create enterprise value. • Build understanding of orchestration systems, execution layers, and enterprise integration requirements—positioning the team within agent layers, optimization solvers, and operational platforms. • Maintain productivity during transformation, delivering measurable improvement in decision quality, planning speed, or operational performance while building new capabilities. • Assess individual readiness, create personalized development plans, and manage performance honestly—recognizing growth, supporting struggles, and making difficult decisions about team composition. • Collaborate with architects and product managers to translate business requirements from diverse domains—supply chain, finance, HR, procurement, customer operations—into decision architecture challenges, positioning the team to become the core engine for SAP’s Autonomous Enterprise with Quantum Brain across the entire application portfolio. What you bring: • Leadership experience in software development with proven track record leading teams through significant capability shifts or technology transitions (5+ years). • Well-honed people management skills with demonstrated success in upskilling teams, introducing new methodologies, and delivering results during organizational change. • Technical credibility in data science, optimization, or systems engineering sufficient to earn respect from practitioners and engage in architectural discussions. • Experience integrating teams into broader technical organizations and breaking down silos between specialized functions. • Understanding of how software systems operate in complex enterprise environments across multiple business domains. • Ability to work in a multi-domain environment, crossing technical, academic, research, and business boundaries—with vision to expand team scope across SAP’s entire application portfolio. • Excellent communication, negotiation, and presentation skills with ability to translate vision into concrete action. • Highly professional and structured working style with capacity to manage complex stakeholder networks. • Ability to thrive in dynamic environments that cross organizational boundaries while maintaining delivery accountability. • Degree in Computer Science, Mathematics, Physics, or related field; strong willingness to immerse oneself in optimization, quantum computing, and decision architecture is essential. Meet your team: You’ll join SAP’s Optimization, Quantum & AI organization—a team redefining what enterprise systems can do. We’re architecting decision-capable infrastructure where optimization science, quantum computing, and artificial intelligence converge into deployable systems. This team will become the core engine of SAP’s Autonomous Enterprise with Quantum Brain, expanding across the entire application portfolio. We operate with clarity about what matters: decision quality, system reliability, deployment credibility, and governance. If you want to lead teams through genuine transformation where constraints are real and strategic impact is organization-wide—this is your opportunity. ​ Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for theSAP Employee Referral Program , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. AI Usage in the Recruitment Process For information on the responsible use of AI in our recruitment process, please refer to ourGuidelines for Ethical Usage of AI in the Recruiting Process . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 453522  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Management  | Employment Type: Regular Full Time or Part-Time  | Additional Locations:  #LI-Hybrid ​ Apply Now At SAP, we know success means different things to different people. Because we firmly believe that your success leads to ours, we instill an open and flexible culture, emb your personal passions, talents, and lifestyle while supporting your ambition throughout your career. We want people who think big and dream big. And most of all, we want people who are passionate about helping businesses – and the world – run better and improve people’s lives. Find us on