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 Centre Stuttgart (HLRS) is Germany's first federal high-performance computing center. It operates one of the fastest supercomputers in the world and offers universities and research institutions as well as industrial partners the use of supercomputers. Furthermore, HLRS holds a leading position worldwide in the research areas of parallel computing, cloud computing as well as big data and artificial intelligence and is significantly involved in international and national research projects. To support the execution of a needs analysis and implementation of HPC/Big Data/AI solutions for crisis situations, we are looking for a

Software Engineer for Crisis Management
(100%, m/f/x, up to TV-L 13, scientific employee)

as part of the national research project CIRCE (Computational Immediate Response Center for Emergencies), in order to face these challenges with us.

The advertised position offers the opportunity for a PhD, which is actively supported by HLRS.

Your tasks:

As a member of the Service Management and Business Processes (SANE) research group, you will work in an international team at the interface between supercomputing, artificial intelligence and quantum computing. We combine applied research with the requirements of industry and science in exciting national and international research projects. Specifically, the CIRCE project is funded by the BMBF and MWK Baden-Württemberg. In the project, you will take on the role of a software engineer to work on the technical implementation of HPC, Big Data and AI solutions for dealing with crisis situations such as the current pandemic.

Your duties will include, but are not limited to:

  • Design of high-level scenarios (e.g. in the area of pandemics, disaster control, population protection) for crisis management and realization of concrete implementation scenarios
  • Development of new and automated methods for efficient data acquisition, pre-processing and analysis
  • Further development of the current simulations to tackle immanent crises
  • Integration of artificial intelligence techniques to improve the predictive power of the agent-based simulations developed in the project
  • Implementation of new and automated methods for efficient data acquisition, imputation, pre-processing and analysis

We expect the following profile from you:

  • You have a university degree with a technical background
  • You are interested in working on a research project 
  • You have an interest in interdisciplinary research, especially in the field of AI and simulations 
  • You are responsible and like to work in a team; at the same time you work independently and pragmatically. 
  • You have good programming skills in at least one established high-level language such as Python, C++, or Fortran
  • You have practical experience in the use of data analysis (data mining), machine learning or deep learning methods
  • You already have experience working with AI frameworks and libraries such as scitkit-learn, Apache Spark, TensorFlow, or PyTorch
  • You enjoy interdisciplinary tasks

Your profile is ideally complemented by:

  • Basic knowledge of Linux and ideally already have experience with the use of HPC systems
  • Basic knowledge of high-performance computing (simulations, parallelization, job management) techniques
  • Familiar with programming in Fortran
  • Working with agile methods of software development is not unknown to you
  • Experience with version control systems like Git or SVN
  • Conceptual thinking and a solution-oriented way of working

We offer:

  • Varied activities in a motivated team
  • Exciting insights into the latest and best technologies in simulation, big data and artificial intelligence
  • A very good working atmosphere in an interdisciplinary team of top scientists and project partners
  • Flexible working hours, choice between trust-based working hours or a flextime model
  • Contract and remuneration according to the collective agreement of the federal states (TV-L)
  • Attractive social benefits of the public administration
  • Subsidy of 25€ per month for public transport
  • Use of the diverse further education and training opportunities (e.g. soft skills, languages, specialist courses, management seminars) and the sports facilities of the University of Stuttgart (on-site or virtual)

The employment is limited according to the WissZeitVG as a scientific employee according to your personal requirements up to TV-L13 for the duration of the project until end of October 2024. An extension of the contract will be examined by the HLRS at the given time depending on available funding.

Do you have any questions about the activities? Then please send an e-mail to contact_sane(at)

Have we aroused your interest?
Then we look forward to receiving your meaningful application! 
Please send these by August 31st 2022, by e-mail (as one PDF file) with the subject "HLRS_18_2022" to: bewerbungen(at)
The interviews will take place in the second half of September, we will come back to you duly.

The University of Stuttgart would like to increase the proportion of women in the scientific field and is therefore particularly interested in applications from women. Full-time positions are generally divisible. Severely disabled persons are given priority in the case of equal suitability. The recruitment of scientific/non-scientific staff is carried out by the Central Administration (Rector's Office).

Information on the handling of applicant data in accordance with Art. 13 DS-GVO can be found at: