Research Associate (m/f/d)

Institute for

Remuneration EG 13

ID 22426WE23

Start of employment 01.10.2026

Application deadline 17.09.2026

Scope fulltime and fixed term until 30.09.2029

As a PhD student at the Institute for Power Electronic Devices, you will work on advanced methods for the analysis and design of power semiconductor devices (Si, SiC, GaN). A central aspect will be the development of simulation and modelling frameworks, and applying advanced methods including AI/ML-based modeling to understand and enhance device performance and reliability. Your research will combine physics-based modelling of devices and systems, analog design, experimental characterization techniques, validation with experimental data, and innovative concepts for next-generation semiconductor technologies. The project offers close collaboration with academic and industrial partners, aiming at both scientific advancement and technological application.

YOUR TASKS

• Analysis of key factors & Development of physics-based and data-driven simulation frameworks in silicon and wide-bandgap devices (SiC/GaN)
• Verification and refinement of models using experimental datasets, application and analysis of experimental characterization techniques
• Application of advanced methods (e.g., AI/ML-supported approaches) for analyzing and improving device behavior and reliability
• Publication of research results in peer-reviewed journals/conferences, teaching (4.0 SWS German/English), and supervision of student theses
• Contribution to academic self-administration and opportunity for scientific qualification (e.g. PhD)

YOUR PROFILE

Requirements

• Completed scientific university studies (masters degree or equivalent), in particular in the subject Electrical Engineering, Physics, Computational Materials Science, MEMS, or a related field, ideally with a focus on semiconductor devices, electronic materials, or numerical simulation methods

Desired knowledge and personal skills

• Expertise in semiconductor physics, TCAD-based device simulation, analog design and circuit-/system-level simulations (e.g. SPICE, VLSI)
• Proficiency in MS-Office, programming (C/C++, python), strong interest in scientific research and academic teaching
• Interest in experimental semiconductor characterization methods, data evaluation and interdisciplinary collaboration with partners
• Very good English (German desirable); strong communication, presentation, and teamwork skills
• Independent, structured working style with motivation for in-depth scientific work and pursuing a doctoral degree

OUR OFFER

• A job in an interesting, friendly and appreciative working environment
• Flexible and family-friendly working conditions
• Good public transport connections
• Company pension scheme, capital-forming benefits

At the heart of TU Hamburg’s research, teaching and transfer of technology is the guiding principle of developing technology for people. The TU Hamburg sees itself in this context as a family-friendly and sustainable university with high performance and quality standards that strives for excellence in all its research fields. Interdisciplinarity, innovation, regionality and internationality are binding principles in our actions. With currently around 8.000 students, 110 professors and 1.650 employees, the TU Hamburg is characterised by short decision-making processes and close cooperation between the board, the institutes, the deans of studies, the research areas and the administration. We identify ourselves with a modern leadership culture and cultivate appreciative interaction.

Note regarding the Standard Enquiry under Section 34a of the Hamburg Security Clearance Act:
The department will submit an enquiry to the State Office for the Protection of the Constitution regarding any information it holds on the person selected in the recruitment process, provided that the legal requirements are met ( and ).

For further information please contact Prof. Holger Kapels, Tel.-Nr. +49 40 30601 3066, Email: .

We value diversity, therefore all applications are welcome, regardless of gender, gender identity, ethnic origin, nationality, age, religion and belief, disability, sexual orientation and identity or social background.

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Please send your complete application documents (cover letter, curriculum vitae in table form, proof of completed training and/or university degree, job references or certificates of employment) via the online application system exclusively.