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:
bwHPC-S5:
GreenShift:
Your main tasks in
the projects: 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. 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, 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. As a member of our team,
you can expect: Working together with both university partners in
Baden-Württemberg and international partners. At HLRS, a
professional working environment in a highly motivated and
collaborative international team. Flexible working hours and 30
days paid leave per year. Public holidays as in the state of
Baden-Württemberg, additionally December 24 and 31. The possibility
of remote work (German: „ortsunabhängiges Arbeiten”) currently up
to 60 %. Workplace is the HLRS at the University of Stuttgart. Use
of the wide range of training opportunities at HLRS, personnel
development offer (e.g., communication and teaching skills,
languages, leadership) and sport facilities of the University of
Stuttgart. The social benefits of the public service and an
allowance for local public transport (e.g. Deutschlandticket) and
Job-Bike-Leasing. The position is available starting at the
earliest possible date. Employment in this position has to comply
with the legal regulations and is limited to the duration of the
projects, until September 30th 2029. Salary for this position is
based on TV-L 13. HLRS is committed to supporting and retaining
talented people even at the conclusion of projects, when possible:
Before the project ends, HLRS might examine what possibilities
might exist for a contract extension, based on funding that is
available at that time and in accordance with the legal
regulations. 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 preferably by e-mail (as
one PDF file) with the subject "HLRS_15_2026" to:
[email protected] by June 14th, 2026. For questions regarding the
content of the job posting, please contact Dr.-Ing. Lorenzo Zanon
via [email protected] . 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:

Informationstechnik (IT) Mathematik Physik Mathematik Physik
Biophysik Chemie Wissenschaftlicher Mitarbeiter, wissenschaftliche
Mitarbeiterin Forscher, Forscherin, Researcher Beratung, Training
Lehre & Forschung, Wissenschaft Forschung & Entwicklung
Forschungseinrichtung Universität Vollzeit

Standort

Universität Stuttgart - Höchstleistungsrechenzentrum, Stuttgart