> Scope: Fulltime
> Temporary: maximum 3 years
> Remuneration: TV-L EG 13
> Start: as early as possible

For the Institute of Measurement, Control and Microtechnology we are looking for a/an

Academic employee (m/f/d) in the area of Deep Learning (sim2real)

We are looking for a highly motivated person with machine learning, deep learning, and transferring models trained in simulation to reality. Our institute has high level expertise and international visibility in the areas of machine learning, deep learning, automated driving, driver assistance and electromobility

Ulm University with its more than 10,000 students offers varied professional tasks in a highly innovative research, teaching and work environment, at the same time facilitating the reconciliation of work and family in many ways.

We seek to increase the proportion of women in research and teaching and particularly encourages qualified female scientists to apply for this position.

As a rule, full-time positions can be split.

Severely disabled applicants with equal aptitude will be given preferential

Your profile:

  • Excellent Master's degree in electrical engineering, computer science, mechanical engineering or a comparable degree program with a focus on machine learning or machine vision
  • Strong interest and very good experience in machine learning and deep learning
  • Very good programming experience in Python and/or C / C ++
  • High self-motivation for the doctoral studies
  • Strong analytical skills
  • Very good knowledge of English spoken and written
  • Good knowledge of German

Your responsibilities:

  • Contribution to our research on deep neural networks with focus on learning a model in simulation and transferring it in reality
  • Participation in the supervision of bachelor and master theses

Seize the opportunity and join us in shaping the future of the University!

Hiring is done by the Central University Administration.

Your contact for further information:
Vasileios Belagiannis, phone +49 731 50-27004

We look forward to your application via our online application portal.
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