With some 25,000 students, more than 5,000 staff and significant external funding, the University of Stuttgart is a globally acclaimed, leading technology-focused university. It advocates an interdisciplinary approach, integrating engineering, humanities and natural and social sciences building on cutting-edge research in each discipline.
The Cluster of Excellence "Data-Integrated Simulation Science" (EXC 2075) was established in 2019 in the framework of the German Excellence Strategy with an initial funding period of seven years. It builds on the previous EXC 310, which ran from 2007-2018 establishing the University of Stuttgart as a world leading research center for simulation technology. A Cluster of Excellence is the most significant and substantial grant for collaborative research funded by the German Research Foundation (DFG). SimTech is the only Cluster with a research agenda of integrating simulation science and data science into a new paradigm bringing together interdisciplinary teams of researchers from seven faculties at the University, nearby academic institutions, and international research groups.
The Cluster of Excellence "Data-Integrated Simulation Science" (EXC 2075) and the Stuttgart Center for Simulation Science (SC SimTech) at the University of Stuttgart are seeking to hire a
Cluster Computing Systems Expert in the Field of Simulation Science
(m/f/d, full-time, salary group up to TV-L E14)
to start as soon as possible for a period of three years.
Preference will be given to candidates with a PhD in fields related to simulation science. Applicants must have a strong proven background in the following areas:
- Internationally visible HPC-related research in computational science, for example, in computational chemistry, computational fluid dynamics, computational mathematics, computational mechanics or computational physics; ideally combined with data-driven methodologies such as machine learning
- Broad skills in the development, maintenance, and use of simulation software on CPU/GPU clusters and supercomputers
- Practical experience with common tools for system monitoring/configuration, user/job management, etc.
- Experience with HPC resources like Gauß-Allianz or PRACE, e.g. applications for computing time
The position offers a diverse collaborative working environment in close cooperation with SimTech researchers at all career levels. In addition, it provides excellent opportunities to enhance the candidate's personal research profile with additional novel topics. 50% of the position is intended to be dedicated to independent research, for which the candidate will be integrated in at least one of the topical SimTech Project Networks, guided by a senior mentor. The remaining 50% are scheduled for operation, administration and extension of SimTech's 'Experimental Compute Cluster', which is currently in the procurement process. In particular, this will include maintaining and updating the software stack based on user requirements, assisting in extension procurement, and integrating new hardware.
The position does not entail teaching duties but we do expect the successful candidate to contribute to trainings and advisory activities for users of the Experimental Compute Platform.
- Excellent infrastructure for your independent research in the field of simulation science
- A diverse, responsible role working with cutting-edge IT
- Independent work in an open, motivated, and collegial team
- Flexible working hours, making it easier to combine work and family/personal life
- Dedicated support for families (childcare, nursing care advisors, etc.)
- Particular awareness of diversity and equal opportunity matters
- HR development and health promotion offerings
Please submit your application in a PDF format to email@example.com by April 30, 2021 at the latest. It should include the following:
- Cover letter
- Academic curriculum vitae with degree certificates and a list of your publications
- Your research plan for an initial period of three years
- Documentary proof of your experience in the use and administration of CPU/GPU clusters and HPC systems
- Names, contact data and profiles of two potential references
Information on how we handle applicant data in accordance with Article 13 of the EU General Data Protection Regulation can be found at https://www.uni-stuttgart.de/en/privacy-notice/job-application/.
We cannot reimburse any costs arising from the performance of job interviews.
The University of Stuttgart is committed to increasing its female-to-male staff ratio. Female candidates are therefore specifically invited to apply. Where qualifications are equal, persons with a severe disability will be given preference. As an employer, the University seeks to support the development of all its employees and helps them fulfil their individual potential. It advocates a good work/life balance and equal opportunities. The University of Stuttgart is a recognized “family-friendly employer” and a signatory to the Diversity Charter (“Charta der Vielfalt”) created by German organizations to promote diversity in business and society.