Die Medizinische Hochschule Hannover (MHH), mit rund 10.000 Beschäftigten größter Landesbetrieb des Landes Niedersachsen, ist eine universitäre Einrichtung für Forschung und Lehre in der Human- und Zahnmedizin und ein Universitätsklinikum der Supramaximalversorgung. Forschung, Lehre, Krankenversorgung und Administration arbeiten im Integrationsmodell auf dem MHH-Campus Hand in Hand. Über uns Hannover Medical School (MHH) is one of Germany's leading medical universities and offers a unique career pipeline for clinician scientists. As part of the BMFTR-funded program AVIATOR (AdVanced clIniciAn scienTist prOgram), MHH is advertising positions for Advanced Clinician Scientists (each with 50% protected research time for up to 6 years). AVIATOR is a structured career development program designed to support medical and dental specialists from all specialisations in human medicine or dentistry who combine clinical expertise with excellent translational research and aim to establish themselves in academic medicine. The program targets ambitious Advanced Clinician Scientists in the R3 career stage who combine clinical experience with strong scientific skills. Applications are open to board-examined specialists or attending physicians (Fach-/Oberärzt:innen, zahnmedizinische Spezialist:innen) holding a doctoral degree. Responsibilities As an Advanced Clinician Scientist in the AVIATOR program, you will play a central role at the intersection of clinical care, research, and academic development, including: - Conducting an independent, clinically relevant translational research project with societal impact in one of MHH's strategic research areas. - Establishing and leading your own research group, including responsibility for staff, resources, and scientific planning. - Securing competitive third-party funding to develop your research agenda and sustainably establish your group. - Integration into clinical care with a clearly defined clinical profile aligned with your research. - Participation in structured training activities within the program. - Active involvement in mentoring, teaching, and science communication, including Patient and Public Involvement (PPI) and Open Science. - Taking responsibility for your career development through individual goal-setting, regular evaluations, and strategic coaching. - Contributing to the further development of the program through participation in committees and exchange formats at MHH and nationally/internationally. The AVIATOR program offers a unique opportunity to establish a long-term academic career as a clinician scientist and contribute to the transformation of university medicine. Requirements - Doctorate (Dr. med.) and completed specialist training in human medicine or dentistry - Proven research experience at the R2 career stage - Clinical activity with a strong scientific drive - Clear scientific vision and willingness to actively shape an independent research profile - Motivation for academic independence and future leadership - Interest in translational research connecting clinical practice, science, and patient benefit - Commitment to active participation in AVIATOR as a career development program What we offer The program provides you with a structured career development plan, protected research time alongside your clinical tasks, a training curriculum, targeted mentoring and coaching, and specific resources (see program info for details). Application Process Please submit: - The completed Application Form: Advanced Clinician Scientist Program - 1st Step (see template), outlining your scientific vision and personal goals - A tabular CV, detailing your previous research achievements and relevant clinical experience and milestones The selection follows a two-stage process and evaluates scientific and clinical achievements with respect to the targeted profile. Please only use the provided templates to ensure evaluation in line with CoARA principles. Note: Candidates with a foreign medical license can be supported in obtaining professional recognition Please submit your application documents directly to Dekanat.Karriere@mh-hannover.de. Ergänzende Informationen: Anforderungen an den Bewerber: Grundkenntnisse: Humanmedizin

1 Siemens Energy Graduate Program - Manufacturing Innovation Manager What You Can Expect Over two exciting years, you'll gain hands-on experiences and become an active part of your team's daily activities. Through impactful projects in three customized assignments - including an eight-month international placement - you'll gain a deep understanding of Siemens Energy. A dedicated mentor will support you every step of the way, giving you the chance to explore different roles, engage in immersive experiences, and build a strong network with peers and industry leaders.As a Graduate Engineer - Scalable Manufacturing Innovation, you will contribute to the design, industrialization, and scaling of innovation initiatives across Siemens Energy manufacturing environments, with a strong focus on translating new ideas - particularly physical artificial intelligence - into repeatable, data-driven, and scalable solutions across factories and regions. How You'll Make an Impact As part of our Graduate Program, you are on the Siemens Energy team. You'll share our purpose in energizing society by supporting customers with transitioning to a more sustainable world and work on real global issues, creating solutions that directly make an impact. * Contribute to the identification, evaluation, and scaling of innovation use cases across manufacturing, operations, and factory management * Support cross-functional innovation projects from pilot phase to industrial rollout across multiple production locations, leveraging technologies such as physical artificial intelligence * Analyze and optimize manufacturing processes using data analytics, digital tools, and structured problem-solving methods, and contribute to standardization of global factory processes and governance models What You Bring * Strong interest in manufacturing environments, industrial processes, and operational innovation, with a structured and analytical mindset * Relevant experience through internships, thesis work, or project work in production, operations, digitalization, or industrial transformation; additional permanent work experience of up to 36 months is welcome * A Master's degree (or equivalent) in Engineering, Industrial Engineering, Manufacturing, Data / Digital Engineering, or a related field * Minimum of 3 months of international experience gained through studying or working * Excellent English skills to engage in a multicultural environment; German is an advantage depending on hiring location, with flexibility and willingness for international travel Grid Technologies Our Grid Technologies division enables a reliable, sustainable, and digital grid. The power grid is the backbone of the energy transition. Siemens Energy offers a leading portfolio and solutions in HVDC transmission, grid stabilization and storage, high-voltage switchgear and transformers, and digital grid technologies. In this role, you will help shape how manufacturing innovation is scaled across our global Grid Technologies factory network. Siemens Energy Commitment to Diversity Lucky for us, we are not all the same. Through diversity we generate power. We run on inclusion and our combined creative energy is fueled by at least 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Recruitment Process We undertake a detailed selection process comprising the following stages: CV screening, test assessment, video interview, and a final panel interview. You'll receive the necessary details ahead of each stage as you progress! Siemens Energy Graduate Program Website: https://www.siemens-energy.com/global/en/company/jobs/graduate-program.html https://jobs.siemens-energy.com/de_DE/jobs/FolderDetail/Siemens-Energy-Graduate-Program-Manufacturing-Innovation-Manager/294358 . Das Mindestentgelt für die Stelle als Si...

Precision Vascular Research Group Department of Radiology and Neuroradiology Project: STRIVE-Simulation-based TRIals for Vascular trEatment About the project Cardiovascular diseases remain the leading cause of death worldwide, yet current clinical approval for disease treatment, especially for novel implants, relies on population-based studies that overlook individual patient variability. In silico trials — computer-based simulations of clinical scenarios — offer a powerful alternative: by creating digital twins of patients and implants, treatment outcomes can be tested rapidly and safely, without invasive procedures or large-scale clinical studies. STRIVE aims to develop a regulatory-aligned computational framework for personalized vascular interventions, with an initial focus on intracranial aneurysms. The project combines advanced simulation methods, experimental validation, and close collaboration with clinicians and industry partners, ultimately enabling faster implant development, safer preoperative planning, and a meaningful reduction in the number of animal and human trials. As part of a young interdisciplinary team, you will contribute directly to building this framework and shaping the medicine of tomorrow. Start in our team We are looking for professional and competent support to start as soon as possible , limited for 4 years. What we offer: • The salary will be based on the German E13 TV-L scale (100%), if terms and conditions under collective bargaining law are fulfilled • A full-time employment, currently 38.5 hours/week; a part-time employment may be possible within the framework of certain working time models • Flexible working hours to accommodate individual needs • Interdisciplinary research at the intersection of medicine, physics, engineering, and computer science • A vibrant, international biomedical research group embedded within a university hospital setting Your tasks: • Develop data-driven surrogate models to replace computationally expensive physics-based simulations for aneurysm treatment, namely, computational fluid dynamics (CFD) and finite element modeling (FEM), enabling rapid, on-demand simulation of patient-specific treatment scenarios • Design and implement machine learning (ML) pipelines using full-fidelity CFD and FEM data, ensuring models generalize across patient geometries and device configurations • Integrate trained surrogate models into the broader in silico trial framework and evaluate their accuracy, robustness, and computational efficiency against full-fidelity simulations • Explore AI-based methods for treatment outcome prediction and device optimization , contributing to the framework's clinical decision-support capabilities • Collaborate closely with clinicians, scientists, and engineers to develop and validate cutting-edge simulation techniques • Lead and co-author scientific publications, and represent the project at international conferences Your profile: • PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field with a strong computational focus • Strong practical experience in machine learning for scientific applications — including surrogate modeling, reduced-order models (ROM), or physics-informed machine learning (PIML/PINNs) — is the core technical foundation of the role • Proficiency in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow, JAX) is essential • Familiarity with CFD, FEM, or other numerical simulation methods is a significant advantage • Experience with high-performance computing (HPC) environments is beneficial Please submit a motivation letter and CV, including, where applicable, degree certificates and job references, as a single PDF until 22. June 2026 , indicating the reference number 28652 . For questions about the role, please contact t

HR Group specializes in Human Resources Management. Our target groups include professionals and executives in commercial and technical fields. We support graduates, skilled professionals, and specialists throughout their career paths and assist companies in finding the right talent for their teams. Aktuell suchen wir ab sofort zur Verstärkung für unseren Standort Graz-Umgebung: 1 Sr. Expert Total Rewards (m/f/d) Are you looking for a new professional challenge? Then you've come to the right place, because to strengthen our HR Group team, we are continuously seeking new employees at our various locations throughout Austria. After receiving your application documents, we review all available opportunities internally, discuss your individual expectations and career goals with you in a personal interview, and provide the best possible support for your professional entry and/or advancement! Your Tasks... * Ensure compensation structures including salary frameworks, job grading, and pay bands are consistently implemented and applied across Magna Powertrain * Lead annual compensation processes such as salary and grading reviews, bonus cycles, and incentive payments * Ensure internal equity and external competitiveness through robust market benchmarking and develop compensation policies, principles, and governance frameworks * Advice, collaborate and support regional compensation specialists, leaders and HR Business partners and strongly collaborate with HR analytics and Talent Management; act as a trusted advisor to senior leaders and key stakeholders * Support the design and evolution of total rewards offerings including incentives, benefits, and recognition programs * Improve Magna Powertrain's Bonus process aligned with performance and business outcomes * Ensure compliance with labor laws, pay equity, and regulatory requirements while maintaining accurate Workday data by applying job grading frameworks and Mercer IPE methodologies * Partner closely with Total Rewards CoE from Magna Corporate and peers from other Magna Groups * Collaborate strongly with auditors, legal teams, and finance partners to support compensation reporting and audit readiness Our Requirements... * University degree in Human Resources, Business Administration, Finance, Economics, or a related field * 5-8+ years of experience in in the field of total rewards, preferably in a multinational environment * Strong expertise in compensation structures, job evaluation, and market pricing * Language skills (very good knowledge of English) * Workday experience is an advantage * Ability to work effectively in complex, matrix organizations with a precise work approach * Experience partnering with senior leaders and executive stakeholders * Strong analytical and quantitative skills * Strategic and business-oriented mindset and intercultural skills * Excellent communication and stakeholder management skills * High integrity, discretion, and professionalism Our Offer... * Options for individual and specialised education and training * Good working atmosphere in an successful company * Flat hierarchies and short decision paths * Regular events for employees * Flexible working hours, employee parking spaces and good public transport connections * The opportunity to actively shape your own career Minimum Salary The minimum salary is EUR 5.857,14 gross per month for 38,5 hours per week. Possibility of overpayment depending on your qualification and experience! Are you interested? Then please send us your complete application documents (cover letter, CV incl. photo, training and further education certificates as well as service certificates) right here using the online form. https://karriere.hr-group.co.at/job/view/3684/sr-expert-total-rewards-m-f-d?page_lang=de Das Mindestentgelt für die Stelle als Sr. Expert Total Rewards (m/f/d) beträgt 5.857,14 EUR brutto pro Monat auf Basis Vollzeitbeschäftigung. Bereitschaft zur Überzahlung.

Entdecken Sie Herne – die Stadt im Herzen des Ruhrgebiets! Mitten im pulsierenden Ruhrgebiet gelegen, bietet Herne, eine Großstadt mit rund 157000 Einwohnern, die perfekte Mischung aus urbanem Leben und grüner Erholung. Ob Sie die Nähe zu den Nachbarstädten Bochum, Recklinghausen und Essen schätzen oder die direkte Anbindung an Bus und Bahn genießen – in Herne sind Sie immer bestens vernetzt. Einfach gesagt – in Herne, lebt man gerne! Herzlich Willkommen beim Vergema Objektservice in Herne Wir übernehmen eine Vielzahl an Dienstleistungen, wie Reinigungsarbeiten über Reparatur- und Installationsmaßnahmen sowie Entrümpelungen, bis hin zur Pflege der Außenanlage von Immobilien. 🔎 Wir suchen Verstärkung! 🧼✨ Wir suchen Glas- und Gebäudereinigerinnen (m/w/d)* für Dortmund und Herne! ✅ Erfahrung in der Branche oder eine Berufsausbildung in diesem wünschenswert 🚗 Führerschein ist wünschenswert - ein PKW wird für dienstliche Zwecke zur Verfügung gestellt 📄 Keine aufwendige Bewerbung nötig! Schreib uns einfach 1-2 Sätze mit deinen Kontaktdaten! Ein Lebenslauf mit Foto von dir ist wünschenswert. 📧 E-Mail: Info@vergema.de Wir freuen uns auf dich! 😊💪 ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Discover Herne – the city in the heart of the Ruhr area! Located in the middle of the vibrant Ruhr area, Herne, a large city with around 157,000 inhabitants, offers the perfect mix of urban life and green relaxation. Whether you value the proximity to the neighboring cities of Bochum, Recklinghausen and Essen or enjoy the direct bus and train connection - in Herne you are always well connected. Simply put – you enjoy living in Herne! Welcome to Vergema Object service in Herne We take care of a multitude of services like Cleaning Services, Repair and installation measures, Decluttering and Maintenance of the exterior grounds of properties. 🔎 We are looking for Reinforcement ! 🧼✨ We are looking for Glas - and Building cleaners around Dortmund and Herne! ✅We would be happy if you'd be an experienced Glas - and Building cleaner! 🚗 A Drivers license would be good, we provide you a car for professional purposes 📄 Just text us 1-2 sentences with your contact details! We'd be happy if you would also send us your CV with a picture of you 📧 E-Mail: Info@vergema.de Information for applicants from abroad: We also welcome applicants from abroad We support you in your search for a flat We help you with visits to the authorities. We expect German language skills at level B1 and above. Für Bewerber/Bewerberinnen, die Ihren festen Wohnsitz im Ausland haben: Die Zentrale Auslands- und Fachvermittlung (ZAV) hilft Ihnen bei der Arbeitssuche in Deutschland. Wir sind Teil der staatlichen Arbeitsagentur. Unser Service ist kostenlos. Wir informieren Sie gerne: +49 (0) 228 713 1313 / zav@arbeitsagentur.de For applicants who have their permanent residence abroad: The International and Specialized Services will help you to find a job in Germany. We are a department of the German Federal Employment Agency. Our service is free of charge. We will be happy to inform you: +49 (0) 228 713 1313 / zav@arbeitsagentur.de IncomingZAV

Hi there!Are you eager to work at the intersection of AI, research, and real-world impact? At Data4Life, we empower researchers and public-health partners by building secure, compliant, and high-impact digital solutions. As we expand our AI-enabled research platforms, including our AIR·MS chatbot, integrated LLM solutions, and developer tooling, we are looking for a Customer Success Engineer who combines strong technical skills with a deep understanding of user needs. In this role, you will act as a technical enabler for researchers and clinicians,helping them successfully adopt and use AI-powered tools in a regulated health environment. Your future role • Build further features around the AIR·MS platform, including our open WebUI-based chatbot, using Python, TypeScript/JavaScript and modern frontend frameworks (React or Vue or Angular) • Collaborate with researchers, clinicians, and internal teams to translate user needs into practical technical solutions and enable effective platform use • Maintain the software stack up-to-date and ensure reliable, stable deployments across environments • Help integrate in-house fine-tuned, medical-data-aware LLMs and agentic APIs to streamline research and translation workflows What you need to succeed • Bachelor’s or Master degree in Computer Science, Software Engineering, or equivalent professional experience • 2+ years of full-stack development experience, including Python/FastAPI (backend) and TypeScript/JavaScript (frontend) • Hands-on experience with modern frontend frameworks (one of: React, Vue, Angular) • Ideally working experiences integrating or deploying LLM or AI • Strong collaboration skills to work across engineering, product, and research teams • Strong communication skills in English (C1) Why you will love working with us • High level of personal responsibility and creative freedom • Work on socially impactful projects in the healthcare sector • Collaboration with leading partners from research, technology, and healthcare • A diverse, interdisciplinary, and international team working across three locations (Potsdam, Berlin, and Singapore) • Flexible working models with the option to work from home • Permanent employment contract with 30 days of vacation • Attractive employee benefits, e.g. private supplementary health insurance, public transport ticket Good to know • We especially welcome applicants from the LGBTQI+ community, people with a migration background, people of color, and individuals with neurodiversity, disabilities, or chronic illnesses to the team. • If you need support or special assistance during the application or interview process due to a disability, please feel free to let us know and we are happy to accommodate you as much as possible. • Please enclose your complete documents (CV, Github Account, Work sample) with your application. • For this position it is important that you are able to regularly be present in our Potsdam and/or Berlin office About usData4Life is a nonprofit organization with the vision of making the world a healthier place. With an international team, we work together on the mission to digitize health research. By linking technology and research, we make health data available to research in a comprehensive, digital and secure way. Our interdisciplinary team in Potsdam, Berlin and Singapore brings together experts from fields such as product development, digital engineering, data security and science. Data4Life was founded in 2017 and is funded by the Hasso Plattner Foundation. We care about Diversity : Many different lives, careers, and development paths lead to Data4Life. We welcome experts from a wide range of backgrounds and experiences to our international team, offering everyone equal opportunities to be themselves and develop to the best of their abilities. Diversity, equality, and inclusion are not just nice words at Data4Life – we put them into practice in all of our activities and projects, striving to incorporate them in our everyday lives. For this reason, we signed the Charta der Vielfalt (Diversity Charter) in 2022.

The foundation Max Planck Institute for Kohlenforschung in Mülheim an der Ruhr is a renowned research institution that is over 100 years old and has already received two Nobel Prizes in its history. The institute is engaged in basic research in the field of catalysis with the aim of maximizing the efficient use of natural resources. Minerva Carbon is an EXIST-funded spin-off project hosted at the Max-Planck-Institut für Kohlenforschung in Mülheim an der Ruhr. Together with Max Planck scientists, we translate cutting-edge catalysis and carbon materials research into scalable, sustainable materials for energy storage and conversion. We are currently building Minerva Carbon as a research-driven startup on the path toward a leading technology company. Student Assistant (m/f/d) - Battery Electrode Manufacturing 20 hours per week / minimum 6 months  Thesis focus We are looking for a motivated master’s student to join our team and contribute hands-on to battery electrode manufacturing and cell assembly working right at the frontier of materials science and next-generation energy storage. Your role - Characterize battery active materials using a range of analytical techniques - Prepare electrodes with defined properties via slurry mixing, slot-die coating, and calendering - Characterize electrodes and evaluate coating quality, thickness, and porosity - Assemble lithium-ion and sodium-ion battery cells in a controlled glovebox environment - Document procedures, data, and results precisely (lab notes, data organization, technical summaries) in close collaboration with the scientific supervision team - Support selected lab and development activities, including measurement workflows, reproducibility studies and process documentation Your profile - Enrolled in a Master’s program in Chemistry or Materials Science or a related field - Hands-on experience in a lab environment; confident with safe handling of chemicals - Basic understanding of electrochemistry and battery principles (electrode production, cell components, cycling, rate tests) - Structured, reliable, and self-motivated working style; strong curiosity and willingness to learn. - Very good German or English skills We offer - Real responsibility from day one, with meaningful work that directly shapes how a young materials startup rethinks the future of batteries - Direct mentorship and day-to-day collaboration with Max Planck scientists and the Minerva Carbon founding team - Practical training across the full electrode value chain: material synthesis, advanced characterization, electrode production and battery cell assembly and testing - Flexible working hours compatible with your lecture and lab schedules - Startup culture: flat hierarchies, fast decisions and an environment built for high learning velocity Practical details - Type: Student Assistant - Duration: minimum 6 months - Start: flexible - Location: Mülheim an der Ruhr (on-site) Take the opportunity to be part of an innovative startup from the very beginning! Send your application containing your CV, transcript of records and a short motivation note via e-mail to: Dr. Abdu Bilican Max-Planck-Institut für Kohlenforschung Kaiser-Wilhelm-Platz 1, 45470 Mülheim an der Ruhr bilican@kofo.mpg.de (bilican@kofo.mpg.de)    The Max Planck Society strives for gender equality and diversity. We welcome applications from all backgrounds. Severely disabled applicants will be given priority if equally qualified. We ask for your understanding that submitted application documents will not be returned. The information on the collection of personal  data in accordance with Art. 13 GDPR can be found on our homepage under https://www.kofo.mpg.de/863307/200609_Datenschutz_Bewerbung_engGB.pdf (https://www.kofo.mpg.de/863307/200609_Datenschutz_Bewerbung_engGB.pdf)

Das Universitätsklinikum Schleswig-Holstein (UKSH) verbindet internationale Spitzenforschung mit interdisziplinärer Krankenversorgung. Wir sind einziger Maximalversorger und größter Arbeitgeber des Landes. Unsere rund 17.000 Mitarbeitenden stellen eine höchst individuelle Versorgung sicher - unverzichtbar für die Menschen in Schleswig-Holstein. Precision Vascular Research Group Department of Radiology and Neuroradiology Project: STRIVE - Simulation-based TRIals for Vascular trEatment About the project Cardiovascular diseases remain the leading cause of death worldwide, yet current clinical approval for disease treatment, especially for novel implants, relies on population-based studies that overlook individual patient variability. In silico trials — computer-based simulations of clinical scenarios — offer a powerful alternative: by creating digital twins of patients and implants, treatment outcomes can be tested rapidly and safely, without invasive procedures or large-scale clinical studies. STRIVE aims to develop a regulatory-aligned computational framework for personalized vascular interventions, with an initial focus on intracranial aneurysms. The project combines advanced simulation methods, experimental validation, and close collaboration with clinicians and industry partners, ultimately enabling faster implant development, safer preoperative planning, and a meaningful reduction in the number of animal and human trials. As part of a young interdisciplinary team, you will contribute directly to building this framework and shaping the medicine of tomorrow. Start in our team We are looking for professional and competent support to start as soon as possible, limited for 4 years. What we offer: - The salary will be based on the German E13 TV-L scale (100%), if terms and conditions under collective bargaining law are fulfilled - A full-time employment, currently 38.5 hours/week; a part-time employment may be possible within the framework of certain working time models - Flexible working hours to accommodate individual needs - Interdisciplinary research at the intersection of medicine, physics, engineering, and computer science - A vibrant, international biomedical research group embedded within a university hospital setting Your tasks: - Develop data-driven surrogate models to replace computationally expensive physics-based simulations for aneurysm treatment, namely, computational fluid dynamics (CFD) and finite element modeling (FEM), enabling rapid, on-demand simulation of patient-specific treatment scenarios - Design and implement machine learning (ML) pipelines using full-fidelity CFD and FEM data, ensuring models generalize across patient geometries and device configurations - Integrate trained surrogate models into the broader in silico trial framework and evaluate their accuracy, robustness, and computational efficiency against full-fidelity simulations - Explore AI-based methods for treatment outcome prediction and device optimization, contributing to the framework's clinical decision-support capabilities - Collaborate closely with clinicians, scientists, and engineers to develop and validate cutting-edge simulation techniques - Lead and co-author scientific publications, and represent the project at international conferences Your profile: - PhD in Computer Science, Applied Mathematics, Physics, Engineering, or a related field with a strong computational focus - Strong practical experience in machine learning for scientific applications — including surrogate modeling, reduced-order models (ROM), or physics-informed machine learning (PIML/PINNs) — is the core technical foundation of the role - Proficiency in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow, JAX) is essential - Familiarity with CFD, FEM, or other numerical simulation methods is a significant advantage - Experience with high-performance computing (HPC) environments is beneficial Please submit a motivation letter and CV, including, where applicable, degree certificates and job references, as a single PDF until 22. June 2026, indicating the reference number 28652. For questions about the role, please contact the project leader, Dr.-Ing. Mariya Pravdivtseva at mariya.pravdivtseva@rad.uni-kiel.de.

Part of... 1 Internship - High Speed and RF LAB Validation Engineer in Development Center Villach (f/m/div) Job IdHRC1666370JobfamilieResearch & DevelopmentBeschäftigungsartVollzeit / TeilzeitVertragsdauerBefristetArbeitsplatztypVor OrtEinsteigen alsStudent*in/Praktikant*in/Trainee#WeAreIn to create tiny chips and big careers. The future won't wait... why should you? Join us and make a difference. Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in? Your Role We are looking for students with the willingness to work in a challenging environment within a highly motivated international team. This specific job is suitable for students within technical studies in the field of electronic engineering. We are offering students the possibility to be a part of the chip design process by supporting the validation of new semiconductor solutions. Key responsibilities in your new role * Mixed-Signal and RF Exposure: Gain experience with Mixed-Signal High-Speed, RF, mmWave, and Integrated Circuits * High-Speed and RF Measurements: Develop expertise in measurements related to High-Speed PLLs, Data Communication (Jitter, Eye Diagrams, BERT), and work with advanced RF/mmWave equipment * Data Processing Applications: Acquire knowledge in data processing for digital communication and radar applications * Practical Validation Experience: Gain hands-on experience in validation and debugging processes * PCB Design and Prototyping: Contribute to the design of PCBs for product measurements and evaluate new tools and methodologies * Comprehensive Validation Flow: Familiarize yourself with validation processes, defining measurement setups, automation, data post-processing, and analysis Further information: Type of employment: Temporary / part-time or full-time (Flexible working hours from Monday to Friday between 6 a.m. and 7 p.m.) Duration: min. 12 months Bachelor or Master Thesis topics are available if requested. Your Profile Qualifications and skills to help you succeed * Educational Background: Pursuing a degree in Electronic Engineering, Microelectronics, or a related field * Mathematical and Circuit Analysis Skills: Strong foundation in mathematical concepts, circuit analysis, FFT, algorithms, or digital filtering * Programming and Software Knowledge: Proficiency in Matlab and strong programming skills * Measurement Tools Proficiency: Familiarity with instruments such as Oscilloscopes, Signal Spectrum Analyzers, and Vector Network Analyzers * Understanding of Electronic Circuits: Basic knowledge of Oscillators, PLLs, Transceivers, RF or mmWave Blocks, and RADAR hardware * Interest in Data Processing: Demonstrated interest or potential experience in data processing for digital communication and radar applications * Language and Work Style: Good English skills and a structured, precise working approach This position is subject to the collective agreement for workers and employees in the electrical and electronics industry (full-time), employment group B for bachelor students, employment group D for master students (https://www.feei.at/wp-content/uploads/2024/04/minimum-salaries-white-collar-workers-2025.pdf). Please attach the following documents (English) to your application: * CV * Motivation letter * Certificate of matriculation at a university * Latest Transcript of records (not older than 6 months) * Highest completed educational certificate (Matura certificate for Bachelor students, Bachelor certificate for Master students) * Reference letter (optional) Apply to this position online by following the URL and entering the Job ID in our job search. https://www.infineon.com/jobs Das Mindestentgelt für die Stelle als Internship - High Speed and RF LAB Validation Engineer in Development Center Villach (f/m/div) beträgt 2.504,31 EUR brutto pro Monat auf Basis Vollzeitbeschäftigung. Bereitschaft zur Überzahlung.

Hi there!Are you eager to learn new things and implement your own ideas while working with an international and passionate team of professionals?Would you like to contribute to digital research solutions that have a meaningful impact on healthcare and science? Your future role • Build and implement state-of-the-art frontend and mobile features by writing accessible, performant, maintainable, and well-tested code following the clean code principles. • Develop, test, and review code. Take part in the software design and architecture decisions. • Implement modules to connect to wearable sensors via Bluetooth Low Energy. • Implement modules to connect to the sensors built in mobile phones, smart watches, and other wearables via SDKs. • Extend our existing Wear OS companion app, written in Kotlin. • Use your UI expertise to implement digital health products and prototypes. • Collaborate closely with UX Design, Backend Engineering, QA, and Product Management. What you need to succeed • You’re ready for a challenging position with the opportunity to learn and to contribute with your 2+ years experience as a frontend engineer. • University degree in Computer Science, Software Engineering or in a related field • Experience with mobile app development on Android and optionally on iOS. • Hands-on working experience with cross-platform app development using React Native. • Deep understanding of HTML, CSS, JavaScript/TypeScript. • Strong focus on performance, semantic markup, accessibility, and security. • Your written and spoken English is fluent, knowledge of German is a plus. Why you will love working with us • High level of personal responsibility and creative freedom • Work on socially impactful projects in the healthcare sector • Collaboration with leading partners from research, technology, and healthcare • A diverse, interdisciplinary, and international team working across three locations (Potsdam, Berlin, and Singapore) • Flexible working models with the option to work from home • Permanent employment contract with 30 days of vacation • Attractive employee benefits, e.g. private supplementary health insurance, public transport ticket Good to know • We especially welcome applicants from the LGBTQI+ community, people with a migration background, people of color, and individuals with neurodiversity, disabilities, or chronic illnesses to the team. • If you need support or special assistance during the application or interview process due to a disability, please feel free to let us know and we are happy to accommodate you as much as possible. • Please enclose your complete documents (CV, letter of motivation, salary expectations and earliest possible starting date) with your application. • For this position it is important that you are able to regularly be present in our Berlin and sometimes in our Potsdam office. About usData4Life is a nonprofit organization with the vision of making the world a healthier place. With an international team, we work together on the mission to digitize health research. By linking technology and research, we make health data available to research in a comprehensive, digital and secure way. Our interdisciplinary team in Potsdam, Berlin and Singapore brings together experts from fields such as product development, digital engineering, data security and science. Data4Life was founded in 2017 and is funded by the Hasso Plattner Foundation. We care about Diversity : Many different lives, careers, and development paths lead to Data4Life. We welcome experts from a wide range of backgrounds and experiences to our international team, offering everyone equal opportunities to be themselves and develop to the best of their abilities. Diversity, equality, and inclusion are not just nice words at Data4Life – we put them into practice in all of our activities and projects, striving to incorporate them in our everyday lives. For this reason, we signed the Charta der Vielfalt (Diversity Charter) in 2022.