As one of Europe’s leading facilities for high-performance computing, HLRS is a diverse community of scientists, engineers, and other professionals focused on discovering and developing new applications of powerful digital technologies and computer science methods.
The High-Performance Computing Center Stuttgart (HLRS) established in 1996 is the first national supercomputing center in Germany. It operates one of the fastest and most modern supercomputers in the world and provides access to supercomputers for universities and research institutions as well as for industrial partners. HLRS holds a worldwide leading position in the research areas of parallel computing, cloud computing and high-performance data analysis. HLRS is also significantly involved in international and national research projects.
Through our department Training and Scalable Algorithms (TASC), HLRS offers a comprehensive range of training courses in the field of HPC, AI, and related technologies. The courses are targeted at scientists and experts from the university environment, from research institutions, as well as from industry and small and medium-sized enterprises. TASC further develops HLRS’s courses by integrating new topics such as artificial intelligence, hardware accelerators, and quantum computing.
In the department TASC, we are currently looking for a
Research scientist with focus on HPC, AI, and training (f/m/x) (100%, TV-L 13)

YOUR QUALIFICATIONS:

• You have successfully completed a university degree (MSc or PhD or equivalent) in the areas of engineering, natural sciences, mathematics, computer science, or a comparable qualification with a technical focus.
• You have very good programming skills in at least one established high-level language (e.g., Python, C/C++, Fortran).
• You have relevant experience in designing and conducting workshops or tutorials.
• You have very good communication skills also towards large audiences and external partners. You enjoy interacting with people.
• You have some experience in project management or in working in a (research) project.
• You are able to work in a team; and at the same time, you can work independently and pragmatically.
• You are proficient in English, written and spoken, and have at least a good command of German, written and spoken.

ARE YOU INTERESTED?

Then we are looking forward to receiving your application!
Your application should include a cover letter, your CV, your university degrees and relevant
employers’ references.
Please send your application by e-mail (as one PDF file) with the subject “HLRS242025” to: bewerbungen(at)hlrs.de by September 15th, 2025.
For questions regarding the content of the job posting, please contact Dr.-Ing. Lorenzo Zanon via courses(at)hlrs.de .
In an effort to strengthen the presence of female workers in the scientific areas, the University of Stuttgart invites women to apply for this job opening. Full-time positions may in general be turned into part-time positions. Disabled people will have priority as long as they are equally qualified. The recruitment process will be handled by the central administration of the University of Stuttgart. Information on the handling of applicant data in accordance with Art. 13 DS-GVO can be found at: https://www.uni-stuttgart.de/en/privacy-notice/job-application/

YOUR MAIN TASKS IN THE PROJECT GREENSHIFT:

• Design the curriculum for and deliver the online EU MSc in AI & HPC for Green Digital Innovation in Transport.
• Complement the MSc programme with e.g., workshops or innovation and research challenges on specific technology areas.
• Design and rollout the GreenShift European Mobility programme, facilitate students’ onboarding and set up a students’ and faculty support programme.
• Within the GreenShift programme, strengthen the portfolio of HLRS’s compact and flexible courses, reinforcing their work-based learning components.

YOUR TASKS AS A MEMBER OF TASC AT HLRS:

• Autonomous research in the areas of HPC and AI: Big data analytics, artificial intelligence, emerging computer architectures and domain-specific technologies.
• Developing new courses and modules that represent the current state of research.
• Teaching and support of participants in our courses.
• Creation, supervision and assessment of examinations and exercises.
• Strengthening the visibility of our course programme (especially for industry).