Research scientist with focus on HPC, AI, and training (f/m/d) HLRS_15_2026

The High-Performance Computing Center Stuttgart (HLRS), established in 1996, is the first national supercomputing center in Germany. It operates one of Europe’s most powerful supercomputers and provides state‑of‑the‑art HPC services to academic users and industry. HLRS holds a worldwide leading position in the research areas of parallel programming, numerical methods for HPC, visualization, cloud computing concepts, high‑performance data analytics (HPDA), and artificial intelligence. 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 fields of HPC, AI, and related technologies. The courses are targeted at scientists and experts from the university environment, research institutions, industry and small‑and‑medium‑size enterprises. TASC further develops HLRS’s courses by integrating new topics such as artificial intelligence, hardware accelerators, and quantum computing.

Research scientist with focus on HPC, AI, and training (f/m/d) (100%, TV‑L 13) HLRS_15_2026

You will support our team in consolidating the HLRS’s training concept within the project bwHPC‑S5 (Scientific Simulation and Storage Support Services) . You will also contribute to the EU project GreenShift – EU MSc in AI & HPC for Green Digital Innovation in Transport . GreenShift will equip R&D and product design professionals with practical skills to harness the power of AI and HPC to fast‑track the development of innovative new products and solutions for the transport industry.

Your Main Tasks In The Projects

• Lead the training work package of the bwHPC‑S5 project, achieving the strategic goals of Baden‑Württemberg in training on HPC and Data Intensive Computing.
• Design the curriculum for and deliver the online EU Master’s in AI & HPC for Green Digital Innovation in Transport.
• Complement the Master’s programme with workshops, lectures and networking events.
• Develop resources to train lecturers and faculty, ensuring a consistent and high‑quality delivery of the Master’s programme.
• Assist in the promotion of GreenShift, highlighting its transformative benefits for transport innovation, SMEs and industry stakeholders.

Your further tasks as a member of TASC at HLRS

• Conduct autonomous research in the areas of HPC and AI: big data analytics, artificial intelligence, emerging computer architectures and domain‑specific technologies.
• Develop new courses and modules that represent the current state of research.
• Teach and support participants in our courses.

Your Qualifications

• Successfully completed a university degree (MSc, PhD or equivalent) in engineering, natural sciences, mathematics, computer science, or a comparable technical field.
• Excellent programming skills in at least one high‑level language (e.g., Python, C/C++, Fortran, Julia).
• Relevant experience in designing and conducting workshops or tutorials.
• Experience in coordination and organisation, such as project management or participation in a research project.
• Very good communication skills, including large‑audience presentations and interaction with external partners.
• Proficiency in German and English, written and spoken. Working proficiency in German is mandatory for daily work in bwHPC‑S5.

Ideally, Your Profile Is Supplemented By

• Experience with AI frameworks, workloads (e.g., natural language processing) and libraries (e.g., PyTorch or JAX).
• Experience with parallel programming paradigms.
• Background in green transport (e.g., fleet optimisation, energy‑efficient logistics, smart city planning).
• Experience in writing project proposals.

The position is available from the earliest possible date and is limited to the duration of the projects, until September 30th 2029. Salary is based on TV‑L 13. HLRS may examine contract extensions if funding allows.

Benefits

• Flexible working hours
• Public transport subsidy
• Continuous learning opportunities
• Home‑office / remote work options

In an effort to strengthen the presence of women in scientific areas, the University of Stuttgart invites women to apply for this job opening. Full‑time positions may generally be converted to part‑time. Disabled applicants receive priority if equally qualified.

For questions regarding the job posting, please contact Dr.-Ing. Lorenzo Zanon via