Engineer physics, computer science, mathematics or similar (f/m/x)


The department Execution Environments and Innovative Methods deals with the implementation and investigation of AI methods regarding platforms on which AI is trained and deployed, and performs research on innovative AI architectures. Among other things, we investigate different hardware and software environments and quantum AI.

As part of our research focus on hardware and software environments, you will develop robust and reliable AI systems that are trained and deployed on various systems - such as HPC systems, embedded environments and containerised AIs.

In particular, you ensure that AIs can be executed safely on these systems in the sense of the principle "Safety&Security by Design" and perform research on the transferability of methods and models between these systems. You will also examine exotic hardware architectures for their suitability for machine learning and AIs.

Thematically, you will address cross-sectoral research questions in DLR's focus areas, including aeronautics, space, energy and transport. You will therefore work closely with experts from other work areas of the Institute for AI Security and our external partners from science and industry.

With your work, you make an indispensable contribution to evaluating the performance of novel AI methods and identifying potential uses. This enables the responsible introduction of these AI-based solutions into ambitious application classes.

The opportunity to work on a PhD thesis can be offered, when the suitable qualification is given.

Your qualifications:

  • degree in computer science, mathematics, physics, engineering or comparable disciplines from a scientific university
  • distinct competencies with different types of execution environments (e.g. HPC, Cloud/Edge or embedded environments) or container technologies
  • competencies in different areas of AI
  • competencies in the implementation of software solutions
  • distinct competences in the field of hardware/software architectures
  • competencies for structuring complex scientific contexts
  • experience in working in scientific projects
  • experience in the application of simulation tools
  • proficiency in English, both spoken and written

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.





DLR - Helmholtz / Deutsches Zentrum für Luft- und Raumfahrt



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Deadline: 2024-01-31
Location: Germany, Ulm
Categories: Computer Engineering, Computer Sciences, Engineering, Mathematics, Physics,

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