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

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, 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/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. The European transport sector faces an urgent need for green transformation to meet sustainability and emission reduction targets. 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. GreenShift will drive transformative innovation in the European Transport Sector.

HLRS Training: https://www.hlrs.de/training

bwHPC-S5: https://www.hlrs.de/projects/detail/bwhpc-s5

GreenShift: https://www.hlrs.de/projects/detail/greenshift

• Achieve the strategic goals of the state Baden-Württemberg in training on HPC and Data Intensive Computing, (after a successful transitional phase) by leading the training work package of the bwHPC-S5 project.
• 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 e.g., 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:
• 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.

• 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, Julia).
• You have relevant experience in designing and conducting workshops or tutorials.
• You can prove experience in coordination and organisation, such as project management or working in a (research) project.
• You have very good communication skills also towards large audiences and external partners. You enjoy interacting with people.
• You are proficient in both German and English, written and spoken. Working proficiency in German is a must for your 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.
• Some background in the field of (green) transport (e.g., fleet optimisation, energy-efficient logistics, smart city planning).
• Experience in writing project proposals.