Ved Høgskulen på Vestlandet (HVL) er det ledig stilling i 100% som stipendiat knyttet til prosjektet "Bump2Baby&Me+" ved Fakultet for helse- og sosialvitenskap – campus Førde, Bergen, Stord eller Haugesund

Stipendiatstillingen er lagt til Institutt for helse- og omsorgsvitenskap, Seksjon for spesialsykepleie.

Ph.d. prosjektet har tittelen “Artificial Intelligence for Personalised Digital Health: "Targeting Enhanced Engagement, Health Outcomes and Maternal Support Perception for Women at Risk of GDM”, og er knyttet til prosjektet Bump2Baby & Me+, finansiert av EU og Norges forskningsråd. 

Stipendiaten skal inngå i et godkjent opplegg for ph.d.-utdanning innenfor en tidsramme på 4 år. 25% av tiden vil utgjøre karrierefremmende arbeid.

Det kan bli gjort fradrag i ansettelsesperioden for eventuell tidligere rekrutteringsperiode.

Det er en forutsetning at den som ansettes har arbeidsplass ved Institutt for helse- og omsorgsvitenskap, seksjon for spesialsykepleie ved campus Førde, Bergen, Stord eller Haugesund i tilsettingsperioden, og at karrierefremmende oppgaver utføres ved HVL.

Stipendiatstillingen er en rekrutteringsstilling som skal bidra til et aktivt forskningsmiljø ved HVL.

Ansvars- og arbeidsområde:

Stipendiatstillingen er knyttet til forskningsprosjektet Bump2Baby&Me+, som har som mål å implementere helsefremmende tiltak for kvinner med økt risiko for svangerskapsdiabetes: (Bump2Baby and Me Plus).

Ph.d- prosjektet vil bruke kunstig intelligens for å evaluere og informere digitale helsefremmende tiltak for kvinner med økt risiko for svangerskapsdiabetes. Prosjektet vil i stor grad basere seg på innsamlede data fra en ferdigstilt randomisert kontrollert studie: (Bump2Baby and Me - Weight Management During & After Pregnancy Bump2Baby and Me).

Ved å kombinere avanserte maskinlæringsteknikker med kvalitative metoder vil ph.d- prosjektet undersøke bruksmønstre og grad av engasjement knyttet til bruk av en helseapp på tvers av flere europeiske land. Målet er å identifisere faktorer som kan bidra til forbedrede helseutfall for både mor og barn, samt å styrke implementeringen av digitale helsefremmende tiltak i klinisk praksis.

Stipendiaten vil inngå i forskningsgruppen DiaBEST, der forskningen særlig retter seg mot de psykososiale sidene ved å leve med diabetes eller annen kronisk sykdom https://www.hvl.no/forsking/gruppe/DIABEST/.

Ph.d- stipendiaten skal inngå i ph.d. -programmet Ansvarlig innovasjon og regional utvikling (RESINNREG) ved HVL. Dette er et tverrfaglig doktorgradsprogram som undersøker hvordan innovasjon kan møte sosiale, økonomiske og miljømessige utfordringer innenfor regionale kontekster. For øyeblikket er det 36 ph.d.-kandidater innskrevet i programmet. 

Førsteamanuensis Hilde Kristin Refvik Riise er prosjektleder og hovedveileder. Stillingen er finansiert av Fakultet for helse – og sosialvitskap ved Høgskulen på Vestlandet. 

Hovedveileder vil sammen med kandidaten utarbeide en detaljert plan for forskerutdanningen som skal inngå i søknad om opptak ved ph.d.-utdanningen RESINNREG. Søknad om opptak til ph.d.-utdanningen skal først sendes etter en eventuell tilsetting. Søknaden skal sendes senest 3 måneder etter tilsetting. Det forutsettes at stipendiatens prosjekt innrettes slik at stipendiaten kan tas opp på ph.d.-programmet. 

For mer informasjon om RESINNREG- programmet og vår forskningsprofil se våre nettsider: https://www.hvl.no/en/studies-at-hvl/study-programmes/responsibleinnovation-and-regional-development/

Kvalifikasjonskrav:

Kvalifikasjonskrav:

• Søker må ha relevant mastergrad med faglige kvalifikasjoner innen digital helse, dataanalyse og/eller maskinlæring anvendt i helseforskning
• Mastergradsoppgaven (tilsvarende minst 30 studiepoeng) må være levert til vurdering innen søknadsfristen, og mastergraden (120 studiepoeng eller tilsvarende) må være godkjent senest fire uker etter søknadsfristen
• Karakter på masteroppgave (eller tilsvarende) og gjennomsnittskarakter for masterstudiet, skal normalt være B eller bedre

Følgende kvalifikasjoner vil bli særlig vektlagt:

• Interesser og helst erfaring innen ansvarlig innovasjon og implementering av helsetiltak i klinisk praksis
• Bred erfaring innen digital helse, dataanalyse og maskinlæring
• Inngående kompetanse i forskningsmetodikk, analysemetoder og statistikk
• Vitenskapelige publikasjoner (antall og kvalitet, samt relevans innen feltet)
• Erfaring med forskning relatert til svangerskap, kvinnehelse eller svangerskapsdiabetes
• Erfaring med deltagelse i internasjonale forsknings-, innovasjons – eller forbedringsprosjekt.
• Kompetanse i programmering og analytiske verktøy (f.eks. R og Python)
• Erfaring med anvendelse av Principal Component Analysis (PCA) og klyngeanalyse i helseforskning
• Søkere må ha gode ferdigheter i engelsk, norsk eller annet skandinavisk språk

Personlige egenskaper som blir vektlagt:

• Evne til analytisk tenking og gjennomføring
• Den som ansettes må kunne arbeide selvstendig og samtidig ha motivasjon for aktivt å bidra til fellesskapet i fagmiljøet generelt og i forskningsgruppen spesielt
• Personlig egnethet, herunder motivasjon, samarbeidsevner, selvstendighet og gjennomføringsevne, vil bli tillagt vekt i den samlede vurderingen
• Høy etisk bevissthet i forskningsarbeidet

Tilleggskrav:

• Motivasjonsbrev på inntil tre sider med en beskrivelse av din motivasjon for å gjennomføre en ph.d.-utdanning, refleksjoner om utlysningens tematikk og metodiske tilnærminger
• CV med informasjon om utdanning, arbeidserfaring, publikasjoner og formidling
• Vitnemål for avlagt mastergrad eller tilsvarende, og eventuelle attester
• Masteroppgave
• Vitenskapelige arbeider søker vil ha vurdert (inntil 5 stykker)
• Referanser (2-3 referanser; navn, e-post og telefon, samt beskrivelse av relasjon til søker)

Det er en forutsetning at stipendiaten kan bli tatt opp på ph.d.- programmet RESINNREG- programmet. Nærmere informasjon om doktorgradsprogrammet finner du her. 

Søknad om opptak til doktorgradsprogrammet skal først sendes etter en eventuell tilsetting. Det skal normalt søkes om opptak til ph.d.-utdanning innen tre måneder etter oppstart. jf. Forskrift for graden ph.d. ved HVL § 2-4. Senest 3 måneder etter tilsetting må stipendiaten være tatt opp på ph.d.-utdanningen.

Interesserte søkere kan ta kontakt med prosjektleder førsteamanuensis Hilde Kristin Refvik Riise for å få tilsendt prosjektskissen.

Nærmere informasjon om ph.d. utdanningen finnes på: https://www.hvl.no/forsking/forskarutdanning/.

 Hvordan søke på stillingen 

Send søknad og CV ved å klikke på knappen merket ”Søk stillingen” på denne siden.

Vi gjør oppmerksom på at søknader blir vurdert ut fra den informasjon som er lagt inn i www.jobbnorge.no ved søknadsfristens utløp. Det er søkers ansvar å sørge for at alle relevante vedlegg er lagt inn innen fristen, herunder masteroppgaven/hovedfagsoppgaven og inntil fem vitenskapelige arbeider de ønsker å ha med i vurderingen, fullstendig publikasjonsliste,  eventuell prosjektbeskrivelse, attester og vitnemål. 

Dersom vitnemålene, karakterutskrifter eller annen dokumentasjon ikke er på et skandinavisk språk eller engelsk, må søker selv laste opp attesterte omsettinger. Hvis vedleggene overskrider 25 MB må de komprimeres før opplasting eller legges ved som lenke.

Søkere med utenlandsk utdanning må i tillegg dokumentere at utdanningen samsvarer med norsk bachelor-, master- eller ph.d.-grad.  Se www.hkdir.no for mer informasjon om vurdering av høyere utdanning. 

HK-dir tilbyr automatisk godkjenning for enkelte grader fra utvalgte land. Dersom utdanningen til søkeren er dekket av ordningen med automatisk godkjenning, vil det være tilstrekkelig å legge ved dokumentasjon på dette. Du kan lese mer om ordningen med automatisk godkjenning her.

Vi gjør oppmerksom på at søknad om vurdering gjennom den ordinære godkjenningsordningen til HK-dir kan ta tid. Du bør derfor sende søknad om godkjenning så raskt som mulig når du vet at du vil søke på stillingen. Dersom du ikke har fått svar fra HK-dir innen søknadsfristen, legger du ved dokumentasjon fra HK-dir om at de har mottatt søknaden din. 

Søkere til vitenskapelige stillinger blir vurdert av en sakkyndig komité. Bedømmelsen skjer på bakgrunn av dokumentert kompetanse, inntil 5 vitenskapelige arbeider. På bakgrunn av komiteens innstilling vil aktuelle søkere bli innkalt til intervju og prøveforelesning. Tilsettingsorgan er tilsettingsutvalget ved Høgskulen på Vestlandet.

Søknadene blir sendt elektronisk til det sakkyndige utvalget. Søknader kan ikke sendes på e-post til enkeltpersoner ved høgskolen.

Vi tilbyr:

• Gode pensjons-, forsikrings-, og låneordninger i Statens pensjonskasse
• Spennende fagmiljø med mulighet for kompetanseheving – og utvikling
• Muligheter for trening i arbeidstiden

Stillingen som stipendiat lønnes i stillingskode 1017 Stipendiat, startlønn kr. 550.800,-. Det gis automatisk lønnsutvikling i inntil 4 år med 3 % årlig stigning. 

Fra lønnen blir det trukket 2 % innskudd til Statens pensjonskasse. Den som blir tilsatt, må rette seg etter de retningslinjer som til enhver tid gjelder for stillingen.

Generell informasjon:

Vi gjør oppmerksom på at i henhold til ny offentlighetslov kan opplysninger om søkeren bli offentliggjort selv om søkeren har anmodet om ikke å bli oppført på søkerlisten. Søkere vil bli varslet dersom slik anmodning ikke tas til følge.

Den statlige arbeidsstyrken skal i størst mulig grad gjenspeile mangfoldet i befolkningen. Det er derfor et personalpolitisk mål å oppnå en balansert alders- og kjønnssammensetning, rekruttere personer med minoritetsbakgrunn, personer med nedsatt funksjonsevne og hull i CV.

Høgskolen på Vestlandet er underlagt eksportkontrollforskriften. Forskriften kan komme til anvendelse i behandlingen av søknadene.

Kontaktpersoner ved Høgskulen på Vestlandet er:

1) Assisterende instituttleder Marianne Fjose

e-post: marianne.fjose@hvl.no

telefon +47 57 67 76 67

2) Førsteamanuensis Hilde Kristin Refvik Riise

e-post: hkrr@hvl.no

telefon + 47 55 58 71 07

Om arbeidsgiveren:

Høgskulen på Vestlandet (HVL) er en av de største høgskolene i landet, med om lag 1 900 ansatte og 17 500 studenter fordelt på fem campus i Førde, Sogndal, Bergen, Stord og Haugesund.

Vi har sterke og innovative fagmiljø innen helse- og sosialvitskap, ingeniør- og naturvitskap, økonomi, samfunnsvitskap og maritime studier, og lærerutdanning, kultur og idrett. HVL tilbyr bachelor-, master- og doktorgradsutdanninger og ulike årsstudium.

HVL er tett på arbeidslivet, regionen og studentene, og har mål om å bli et universitet med profesjons- og arbeidslivsrettet profil.

Fakultet for helse- og sosialvitskap har 460 ansatte og 5500 studenter. Vi har et bredt utdanningstilbud innen helse- og sosialfaglige profesjonsutdanninger, etter- og videreutdanninger og flere masterprogram.Fakultetet tilbyr ph.d.-utdanningen "Helse, funksjon og deltakelse". I tillegg har Fakultet for helse- og sosialvitskap delansvar for forskningsområdet: «Innovasjon i offentlig sektor» i  den tverrfakultære ph.d.-utdanningen Responsible Innovation and Regional Development (RESINNREG).

Studentene våre får omfattende ferdighetstrening i tillegg til praksis, blant annet gjennom øvelser i kommunikasjon og utprøving ved et avansert simuleringssenter, SimArena. Vi praktiserer fleksible læringsformer der studenten selv blir utfordret til å delta i forskning og utviklingsarbeid.

Institutt for helse- og omsorgsvitskap er et av 3 institutter ved Fakultet for helse- og sosialvitenskap. 

About the position

A PhD Research Fellowship is available at the Department of Physics, Faculty of Mathematics and Natural Sciences, University of Oslo, within the interdisciplinary research team GLIOFORCE – Targeting Cellular Biomechanics to Block Tumour Cell Invasion. GLIOFORCE is a newly established Life Science Convergence Environment that brings together physics, biomedicine, engineering, and pharmacy to address fundamental challenges in cancer research.

Starting date no later than September 15, 2026.

The fellowship period is four years, including 25 % of other career-promoting work. This may involve teaching and/or project-related activities such as contributing to consortium seminars, maintaining project websites, laboratory assistance, or other tasks that support the research environment.

No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo.

Job description

Glioblastoma (GBM) is a highly invasive and lethal brain cancer whose progression is strongly governed by cellular and nuclear mechanics, cytoskeletal organization, and interactions with a mechanically heterogeneous brain microenvironment. The GLIOFORCE project explores mechano-adaptation as a targetable vulnerability in this aggressive disease.

The successful candidate will join an interdisciplinary research consortium and work closely with three other PhD students, combining theory, computation, and experiments to model and manipulate the physical forces experienced by invading cancer cells. The overarching goal is to identify biomechanical “weak points” in cancer cell invasion and to inform the development of innovative, mechanics-based intervention strategies. By focusing on the biomechanics of cancer cell spreading, GLIOFORCE seeks to open new avenues for the treatment of aggressive cancers such as glioblastoma.

Within this framework, the present PhD fellow will develop and analyze active-matter physics models of GBM cell deformation and invasion, with particular emphasis on identifying biomechanical tipping points at which invasion becomes mechanically unfeasible. The work of the PhD fellow will be theoretical and computational in nature and include: 

• Developing physics-based, deformable cell models of glioblastoma invasion that incorporate nuclear and cytoskeletal mechanics
• Applying active-matter theory to describe transitions between collective and singlecell invasion in confined and mechanically heterogeneous environments
• Calibrating and validating models using experimental data from imaging, biosensors, and microchannel assays, in close collaboration with experimental partners
• Identifying biomechanical regime shifts and tipping points, and contributing to an open-source computational framework for cancer invasion modelling

The project offers a highly interdisciplinary research environment spanning physics, cell biology, materials science, and advanced imaging.

What skills are important in this role?

The Faculty of Mathematics and Natural Sciences has a strategic ambition to be among Europe’s leading communities for research, education and innovation. Candidates for these fellowships will be selected in accordance with this, and expected to be in the upper segment of their class with respect to academic credentials.

Required qualifications:

• Master’s degree or equivalent in physics, applied mathematics, computational science, or a closely related field
• Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in the Norwegian educational system
• Strong background in theoretical modelling, preferably within active matter physics
• Solid programming skills

Desired qualifications:

• Experience in statistical physics, solid mechanics, or fluid mechanics
• Experience with data-driven modeling, parameter estimation, or model calibration
• Familiarity with high-performance computing or large-scale simulations
• Interest in close collaboration with experimental researchers

Language requirement:

• Good oral and written communication skills in English
• English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements:
  https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8

Grade requirements:
The norm is as follows:

• The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system
• The average grade point for courses included in the Master’s degree must be B or better in the Norwegian educational system
• The Master’s thesis must have the grade B or better in the Norwegian educational system

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/

All candidates and projects will have to undergo a check versus national export, sanctions and security regulations. Candidates may be excluded based on these checks. Primary checkpoints are the Export Control regulation, the Sanctions regulation, and the national security regulation.

What are we looking for in you?

Personal skills:

• Strong analytical skills and scientific curiosity
• Open-minded, collegial, and comfortable engaging in a social and interdisciplinary research environment
• High level of motivation, responsibility and perseverance
• Clear and constructive scientific communication skills

Employment in the position is based on a comprehensive assessment of all qualification requirements applicable to the position, including personal qualifications.

We can offer you

• A pleasant and stimulating work environment
• Good welfare schemes
• Opportunity of up to 1.5 hours a week of exercise during working hours
• A workplace with good development and career opportunities
• Career development programmes
• Membership in the Statens Pensjonskasse, which is one of Norway's best pension schemes with beneficial mortgages and good insurance schemes
• Oslo’s family-friendly surroundings with their rich opportunities for culture and outdoor activities
• Salary in position as PhD Research Fellow, position code 1017 in salary range NOK from 550 800 - 595 000, depending on competence and experience. From the salary, 2 percent is deducted in statutory contributions to the State Pension Fund 

We need different perspectives in our work

UiO is an open and internationally oriented comprehensive university that strives to be an inclusive and diverse workplace and academic environment. You can read more about UiO’s work on equality, inclusion, and diversity at uio.no.

We fulfill our mission most effectively when we draw upon our variety of experiences, backgrounds, and perspectives. We are looking for great colleagues, could you be the next one?

We will do our best to accommodate your needs. Relevant adjustments may include modifications to working hours, task adaptations, digital, technical, or physical adjustments, or other practical measures.

If you have an immigrant background, a disability, or CV gaps (Norwegian), we encourage you to indicate this in the job application portal. We always invite at least one qualified candidate from each group for an interview. In this context, disability is defined as an applicant who identifies as having a disability that requires workplace or employment-related accommodations. For more details about the requirements, please refer to the Employer portal (Norwegian).

The selections made in the job application portal are used for anonymized statistics that all state employers include in their annual reports. 

We hope you will apply for the position with us.

How to apply

The application must include:

• Cover letter- statement of motivation and research interests
• CV (summarizing education, positions, research experience, pedagogical experience, and other relevant activities)
• Copies of educational certificates, academic transcript of records and letters of recommendation
• List of publications and academic work that the applicant wishes to be considered by the evaluation committee, including exercises or problem sets the applicant has designed 
• Names and contact details of 2-3 references (name, relation to candidate, e-mail and telephone number)
• Documentation of English proficiency if applicable

Application with attachments must be submitted via our recruitment system Jobbnorge, click "Apply for this job".

When applying for the position, we ask you to retrieve your education results from Vitnemålsportalen.no. If your education results are not available through Vitnemålsportalen, we ask you to upload copies of your transcripts or grades. Please note that all documentation must be in English or a Scandinavian language.

General information

The best qualified candidates will invited for interviews.

Applicant lists can be published in accordance with Norwegian Freedom of Information Act § 25. When you apply for a position with us, your name will appear on the public applicant list. It is possible to request to be excluded from this list. You must justify why you want an exemption from publication and we will then decide whether we can grant your request. If we can't, you will hear from us.

Please refer to Regulations for the Act on universities and colleges chapter 3 (Norwegian), Guidelines concerning appointment to post doctoral and research posts at UiO (Norwegian) and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo.  

The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all research results etc.

Om arbeidsgiveren:

The University of Oslo is Norway’s oldest and highest rated institution of research and education with 26 500 students and 7 200 employees. Its broad range of academic disciplines and internationally esteemed research communities make UiO an important contributor to society. 

The research at the Department of Physics covers a broad range of subfields within physics and technology: From space research to medical physics. A good proportion of the research is interdisciplinary, and conducted in close cooperation with collaborators in Norway and abroad. Education and teaching are other essential activities. We offer a broad range of courses, and the Department is involved in several study programmes at bachelor’s and master’s level. Some of the best lecturers in Norway are amongst our employees, and we are proud of our prizewinning teaching and learning environment. The Department has 200 employees, of which 50 are permanent scientific positions. On a yearly basis 20 students complete their Ph.D. and 50 finish their M.Sc. degree.

This is NTNU

NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.

You will find more information about working at NTNU and the application process here.

   

Video: https://youtu.be/Xt-yHCN5QS0

About the position

Are you looking for a PhD opportunity that combines rigorous AI research with high-impact problems in next-generation wireless systems? We are recruiting a talented and motivated PhD student for a Research Council of Norway-funded project in collaboration with NTNU and SINTEF Digital. The research focuses on advanced signal analysis and machine learning methods that enable robust operation and service continuity in future wireless networks under challenging radio conditions.

As a PhD student, you will develop state-of-the-art learning and inference methods to detect and characterize anomalous radio behavior and to design algorithms that remain reliable under practical constraints. Depending on background and interests, the work may involve robust detection under distribution shifts and unseen interference conditions, resilient federated/decentralized (collaborative) learning, and reinforcement learning for adaptive decision-making. A key aim is to connect wireless phenomena to learning robustness by combining physical-layer signal structure and signal-processing insights with trustworthy learning principles.

You will join a dynamic, collaborative team conducting rigorous AI and signal processing research with clear relevance to future wireless systems. The work emphasizes principled modeling, reproducible experimentation with open datasets and simulations, and publication-ready contributions targeting leading venues in machine learning and wireless communications. You will also have opportunities for international collaboration with leading research groups through joint publications, visits, and conference presentations.

Your immediate leader will be the leader of the signal processing group.

Duties of the position

• Complete the doctoral education until obtaining a doctorate
• Carry out research of good quality within the framework described above
• Academic publications and popular science dissemination
• Participate in the Signal Processing group 
• Participate in international activities such as conferences and/or research stays at foreign educational institutions
   

Be prepared for changes to your work duties after employment.

Required selection criteria

• You must have a relevant Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or equivalent. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master’s students can apply, but the master's degree must be obtained and documented before starting the position.
• You must have a strong academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal to B or better compared to NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you have a weaker grade background, you may be considered if you can document that you are particularly suitable for a PhD education.
• You must meet the requirements for admission to the doctoral programme at the Faculty of Information Technology and Electrical Engineering.
• You must have a strong mathematical background and a research-oriented Master’s thesis in a relevant field (e.g., signal processing, statistical machine learning, wireless communications, applied mathematics).
• You must have solid programming skills and documented experience implementing algorithms and running reproducible experiments in Python and/or MATLAB.
   

PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”.

The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU)for general criteria for the position.

Preferred selection criteria

• Experience with machine learning for signal data and/or wireless systems (e.g., robustness under distribution shift and challenging radio conditions). Familiarity with federated/decentralized learning and/or reinforcement learning under practical constraints is an advantage.
• Publication activity (e.g., conference/journal papers, preprints, or open-source contributions) in relevant areas.
• Excellent written and oral English skills.

Personal characteristics

To complete a doctoral degree (PhD), it is important that you are able to: 

• Communicate research clearly, both orally and in writing, and discuss results with other professionals.
• Work independently and take ownership of research problems from idea to publication.
• Be scientifically curious and motivated to learn new methods and explore new research directions.
• Be persistent and structured, with good planning skills and the ability to meet deadlines.
   

Emphasis will be placed on personal qualities.

We offer

 

• An exciting job with an important mission in society
• Developing tasks in a strong and international professional environment
• Career guidance and follow-up during the PhD period
• Open and inclusive working environment with committed colleagues
• Favorable terms as a member of the Norwegian Public Service Pension Fund (SPK)
• Free Norwegian language training at a basic level (A2)

As a PhD Candidate at NTNU, you will have access to employee benefits.

Diversity

Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values ​​are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals. 

We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education. 

If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.

At NTNU we want to increase the proportion of women in scientific positions. We have a number of measures to promote equality. 

Salary and conditions

In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 550 800,-per annum depending on qualifications and seniority. A 2% statutory contribution to the State Pension Fund is deducted from the salary.

The employment period is 3 years for the doctoral work, with a possible extension of up to one year of career-promoting work.

For employment as a PhD Candidate, it is a prerequisite that you gain admission to PhD programme in Electronics and Telecommunication within three months of your employment contract start date, and that you participate in an organized doctoral programme throughout the period of employment

As an employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them.

For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.

The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed.

About the application

The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English.

Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above. The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.

The application must include:

• Cover letter describing your background and motivation (maximum 1 page).
• CV (including education and relevant working experience) and relevant certificates/ attestations.
• Transcripts and diplomas for Bachelor's and Master's degrees.
• Brief research vision for the position (maximum 2 pages).
• Names and contact information of three referees.
• List of publications and/or other relevant research work (if any).
• Documentation of English proficiency (if available).
• If available: a copy of the Master's thesis (documentation of a completed master's degree must be presented before taking up the position).
   

If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education, both Bachelor's and Master's education, in addition to other higher education. If your institution uses “diploma supplement” (normal for most European institutions), you must attach this. A description of the documentation required can also be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well.

Joint work will be considered. If it is difficult to identify your contribution to joint work, you must attach a brief description of your participation.

When assessing the best qualified, we emphasize necessary qualifications such as education, experience and personal suitability. Motivation for the position, ambitions, and potential for research will also count when assessing the candidates.

NTNU recognizes a wide range of academic contributions and has committed itself to The San Francisco Declaration on Research Assessment and CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission).

General information

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the exemption is not granted.

If you think this position looks interesting and in line with your qualifications, you are welcome to apply.

If you have any questions about the position, please contact Professor Stefan Werner at stefan.werner@ntnu.no.

 If you have any questions about the recruitment process, please contact HR at e-mail: hr@ies.no

Application deadline: 06.04.2026

For practical information about working at NTNU, please visit this webpage. 
 

The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality. 

Om arbeidsgiveren:

NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Electronic Systems

The digitalization of Norway is impossible without electronic systems. We are Norway’s leading academic environment in this field, and contribute with our expertise in areas ranging from nanoelectronics, phototonics, signal processing, radio technology and acoustics to satellite technology and autonomous systems. Knowledge of electronic systems is also vital for addressing important challenges in transport, energy, the environment, and health. The Department of Electronic Systems is one of seven departments in the Faculty of Information Technology and Electrical Engineering .

This is NTNU

NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.

You can find more information about working at NTNU and the application process here.

Video: https://youtu.be/Xt-yHCN5QS0

About the position

The Department of biological sciences (IBA), NTNU seeks a highly qualified, ambitious and motivated candidate to further advance biological monitoring of the marine environment.

A deep understanding of marine ecosystems is essential for the sustainable and responsible use of the ocean.  Despite significant increase in available ocean data, we still lack a comprehensive monitoring system capable of capturing the complex interplay of biotic and abiotic factors, as well as the impacts of human activities in coastal areas.

Recent technological developments vastly extend our suite of tools for marine observation. Uniting these technologies with domain knowledge at the intersection of environmental sciences, biology and technology will strongly improve our understanding of marine systems.

The successful candidate will contribute to an initiative that integrates novel measurement techniques with artificial intelligence and autonomous vehicles to enable next‑generation marine monitoring. They will join a highly cross-disciplinary team with competencies in marine systems, marine biology, aquaculture, water analyses, marine and maritime technology, and artificial intelligence.

The postdoctoral fellowship position is a temporary position with a goal to qualify for work in senior academic positions.

The position reports to Head of department.

About the project

This project builds on our work on systems for sampling and processing large water volumes for plankton analyses and optical and acoustic nekton monitoring.  The research question driving this project is how marine parasites disperse from their hosts and what risk they pose to both wild and farmed fish. Specifically, we have been working on salmon lice in commercial aquaculture. Current efforts use machine learning (object detection) to automatically quantify parasites in the sea, with ongoing extensions targeting the detection and enumeration of fish eggs and microplastics. This project will expand our work by combining autonomous water sampling and semi-autonomous analyses with an extensive monitoring program over several years. Different additional methods, including molecular-biological, optical and acoustic methods (both on plankton and nekton) may be used to complement these datasets to deepen our understanding of marine systems.

This project is expected to drive rapid advances in ocean science, and it has the potential to directly support improved industrial practices of human activities in the sea, marine environmental management and marine governance. The position offers some flexibility to align research actions with specific interests and strengths of the successful candidate.

This position is closely connected to the development of the Fjordlab infrastructure and related projects at Campus Ålesund, as well as the InnoSea research group at IBA. The department maintains strong ties with regional industries, both in the health and the marine sector, and it focuses on interdisciplinary research and research-based innovation related to sustainable salmon farming, the marine environment, marine ingredients, and medical and laboratory technology. Further information is available on the department’s homepage: http://www.ntnu.edu/iba.

Main duties of the position

The interdisciplinary nature of this position demands efficient collaboration in a team with domain knowledge in the marine environment, marine biology or ecology, technology and automation. It is therefore important for the successful candidate to be open to learning skills allowing proper communication and collaboration with participants from other subject areas.

Specific tasks include:

• Further development of methods and sampling protocols for water and plankton analyses
• Utilization of autonomous vehicles in environmental monitoring. No previous knowledge of these systems is required at the start of this position.
• Field work, installation of sensors and collection of samples.
• Data collection and analysis of the distribution and behavior of plankton and nekton, which again is linked to environmental status and biological models.
• Use and possibly further development of models based on object recognition, to identify and count marine organisms in water samples and from camera feeds.
• The use of acoustic methods for monitoring nekton. This is not mandatory but can be included to support evaluations of host-parasite interactions.
• The use of molecular-biological methods for analyses and monitoring or marine organisms and pathogens in collaboration with other researchers. This is not mandatory but can be included as a further extension of a more capable monitoring system.
• Publication and other dissemination of results to the scientific community and other relevant stakeholders.

This postdoctoral position will lead to the qualification of the successful candidate as associate Professor, and building of pedagogic competence, teaching and supervision will be part of this position.

The focus of the methods being used in the project will be adjusted based on the competence profile of the successful candidate.

Required selection criteria

The successful candidate must:

• have completed a Norwegian doctoral degree in a relevant subject area, with a focus on the use of technology in biology or environmental sciences. Alternatively, the successful candidate must hold a corresponding foreign doctoral degree recognized as equivalent to a Norwegian doctoral degree in the same research areas.
• have experience from field work or laboratory work. This project will require practical skills.
• have experience in the administration and analysis of large datasets.
• show high standards in research ethics and quality. This must be evident from the candidate’s publications.
• have documented good knowledge of English language, both written and oral.

The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant.

If you do not already have educational competence that meets the requirements for a position as associate professor in Norway, NTNU will arrange for you to acquire such competence during the employment period. In such cases, you will also be assigned relevant teaching as part of the career-promoting work.

The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations concerning the degrees of philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU)for general criteria for the position.

As a result of the new Act relating to universities and university colleges with associated regulations of 01/08/2024, NTNU has, during a transitional period (for decisions on employment in recruitment positions before 1 August 2025), chosen to use the terms of employment in the old regulations of 31 January 2006 no. 102 on terms of employment for positions such as postdoctoral fellow, research fellow, scientific assistant and specialist candidate

Preferred selection criteria

The following will be highly advantageous for this position:

• Expertise in either or several of the following, or related fields: marine ecology, oceanography, planktology, aquaculture. We also encourage candidates with other relevant backgrounds like biotechnology, data science, automation, engineering or similar, to apply, given practical experience in relevant biological settings.
• Experience from work on interdisciplinary topics and in cross-disciplinary teams.
• Strong interest in learning and utilizing new technologies to investigate marine and biological systems.
• General understanding of object recognition, as it will support fast start-up of research activities.
• Hands-on experience from mechanical and simple electrical problems, for example by designing and building laboratory or field setups.
• Good knowledge of Norwegian or other Scandinavian language.
• Driving license class B (car), ideally BE (car with trailer).
• Boat driving license for Norway.
• Experience with work at sea.

Personal characteristics

• Professional curiosity
• Interest in multidisciplinary, complex problem solving in interdisciplinary teams
• Self-motivated, enthusiastic and creative
• Strong collaborative skills and positive attitude
• Ability to work independent and goal-oriented
• Ability and willingness to conduct fieldwork at sea

In the evaluation, emphasis will be placed on education, experience and personal suitability, as well as motivation, in terms of the qualification requirements specified in the advertisement.

Personal suitability will be an important selection criterium.

We offer

(decide on what is relevant for the position – add and remove)

• An exciting job with an important social mission
• Developing tasks in a strong and international professional environment
• Career guidance throughout the postdoctoral program and together with you we will prepare a career plan, which containsthe skills and knowledge you will acquire
• Open and inclusive working environment with committed colleagues
• Mentor programme as a new employee at NTNU
• Favorable terms in the Norwegian Public Service Pension Fund
• Free Norwegian language training at a basic level (A2)

As a Postdoctoral Fellow at NTNU, you will have access to employee benefits.

Diversity

Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values ​​are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals.

We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education.

If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.

Salary and conditions

As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 633 400,- per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.

The period of employment is 3 years.

As an employee at NTNU, it is important to keep yourself up to date with academic and organizational changes and to adapt to them.

For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.

The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to bein conflict with the criteria in the latter act, will not be able to be employed

About the application

The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment. The documents must be in Norwegian/a Scandinavian language or English.

Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above.

The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.

The application must include:

• Transcripts and diplomas for Bachelor's-,Master's- and PhD degrees. If you have not yet completed your PhD, you must provide confirmation on your estimated date for the doctoral dissertation, or confirmation that your PhD thesis has been submitted. Documentation of a completed doctoral degree must be presented before taking up the position.
• CV
• A copy of the doctoral thesis. If you are close to submitting, you can attach a draft of the thesis.
• Academic works - published or unpublished
• Letter of motivation to apply for this position
• Possible recommendation letters
• Name and contact information of three referees

If all or parts of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education. Description of the documentation requiredcan be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well.

Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.

If you have had leave or another break in your career, it is important that this is stated in your application so that the selection committee can take this into account and that the amount of your research may be reduced as a result.

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal qualities. Motivation, ambitions and potential for research will also be emphasized in the assessment of the candidates.

NTNU recognizes a wide range of academic contributions and is committed to follow evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment DORA and the obligations in CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission).

General information

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt from entry on the public list of applicants, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the exemption is not granted.

If you have any questions about the position, please contact Head of Department, Lars Christian Gansel, phone: +47 46 45 62 81, email:  lars.gansel@ntnu.no.

If you have any questions about the recruitment process, please contact HR Advisor, Ingvild Vartdal, email: ingvild.vartdal@ntnu.no.

If you find this position interesting, and in accordance with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation.

Application deadline: 22.03.2026

For practical information about working at NTNU, please visit this webpage. 

Ålesund, known for its unique Art Nouveau architecture and spectacular nature, is a gem on Norway's west coast. The city offers a vibrant cultural life, modern facilities, and a dynamic business environment. With its strategic location by the sea, Ålesund provides a perfect balance between urban living and natural experiences. Here, you will find excellent schools, top-notch healthcare services, and a wide range of recreational activities. Ålesund is an ideal place for both career and family life, with a safe and inclusive community.

Om arbeidsgiveren:

NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Biological Sciences Ålesund 

We work with health and sustainable exploitation of marine resources, as well as medical and marine laboratory technology. The Department has close ties with regional business and industry in the health and marine sectors. This applies to research, education and innovation. The Department of Biological Sciences Ålesund is one of eight departments in the Faculty of Natural Sciences.

The Tool Maker will form part of the Tool Shop Department

Working at our factory, we are looking for the ideal candidates to join our team in the production of marble and other stone related projects. The ideal candidate will have the role to work with CNC machines mainly on 5 axis CNCs, 3 axis CNCs and Waterjet