Weitere Informationen

The successful candidate will be employed under a regular employment contract.
The position is to be filled at the earliest possible date and offered for a fixed term initially of 1 year..
The position is intended to last for a total of 5 years.
The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).
This is a full-time position with the possibility of a part-time contract upon request.
The successful candidate has the opportunity to pursue a doctoral degree in this position.
The salary is based on the German public service salary scale (TV-L).
The position corresponds to a pay grade of EG 13 TV-L.

Unser Profil

The Chair of Electronic Devices is active in the innovative research field of micro- and nanoelectronics. We conduct research into hardware for future applications in energy-efficient electronics, artificial intelligence, and quantum technologies. Our research, situated at the interface between engineering and the natural sciences, focuses on innovative materials, new concepts for electronic components and advanced microelectronic processes of the future. In doing so, we are working on solutions to socially relevant issues, such as energy-efficient electronics, environmental sensor technology and personalized healthcare.

Our research is embedded within an international network of prestigious universities and leading industry partners. We are proud of our vibrant, multidisciplinary and international working environment, which offers flexible working hours and a work-life balance that is put into practice every day. Together, we are pushing the boundaries of technology through our innovative spirit.

Ihr Profil

We are seeking a committed research associate to work on the research project ‘Hybrid AI Modelling of Next-Generation Electronic Devices’.

An excellent university degree (Master’s or equivalent) in Materials Science, Electrical Engineering and Information Technology, Physics or a similar scientific discipline.
A high degree of scientific curiosity, independence, self-motivation and creativity.
A strong preference for combining experimental and theoretical work.
Previous experience with electronic devices, nanotechnology or 2D semiconductors is an advantage.
Previous experience with machine learning/AI or numerical methods for component simulation is an advantage.
An interest in university teaching
A team player who enjoys an agile and collaborative working culture within an international team.
Excellent communication skills in English (fluent); knowledge of German is an advantage

Ihre Aufgaben

Increasing attention is being paid to the hardware required for future AI applications. The research carried out as part of this project combines physics-based modeling and artificial intelligence to understand the physical mechanisms of novel components made from two-dimensional materials. In doing so, we are laying the foundations for the targeted development of energy-efficient and adaptive electronics for future AI applications.

Development of efficient charge transport models for the simulation of electronic devices
Integration of classical finite-volume methods and physics-informed artificial intelligence methods
Validation of models against experimental results from 2D materials and devices
Investigation of switching mechanisms
Publication of results in peer-reviewed scientific journals and presentation at project meetings and conferences
Coordination and collaboration with relevant internal and external projects.

Contributing to our teaching activities is also part of the role.

Assisting with lectures, conducting practical sessions/tutorials, and exams
Lab courses and projects
Supervising theses

Über uns

RWTH is proud to be certified as a family-friendly university. As part of our Campus Health initiative, RWTH offers a wide range of health, counseling, and prevention services, including university sports. Employees under collective bargaining agreements and civil servants also benefit from a comprehensive continuing education program and the option to purchase a job ticket for convenient commuting.
All University employees also have access to the Corporate Benefits online platform, which offers discounts on a wide range of products and services from participating companies.
RWTH is an equal opportunities employer. We welcome and encourage applications from all qualified candidates and make employment decisions without regard to national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is especially committed to supporting the advancement of women in academia. When women are underrepresented in a university unit, preferential consideration will be given to female applicants among candidates of equal merit and professional standing, unless compelling reasons favor another individual.
In keeping with RWTH’s commitment to equality of opportunity, we ask that you do not include a photo with your application.
Please refer to for information about how we collect and process applicant data in accordance with Articles 13 and 14 of the European Union’s General Data Protection Regulation (GDPR).

Besoldung / Entgelt

EG 13 TV-L

Research Assistant/Associate - Doctoral Researcher (f/m/d): Hardware for AI and 2D materials

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