CIS - Open Positions: PhD Position/Scholarship

The Computational Imaging Systems Department at the CACE Institute of the Faculty Computer Science, Electrical Engineering and Information Technology offers:

PhD Positions/Scholarships – Construction of intelligent imaging systems based on AI and deep learning - remuneration up to 57.000 € p. a. (no tuition fees for PhD programs)

The Department of Computational Imaging Systems deals with the construction of 3D imaging systems based on artificial intelligence (deep learning) which has been proven to be very successful in the field of computer vision. The mechanical construction of these systems is based on mechanical components like precision stages with an accuracy in the single digit micrometer or even in the nanometer range. For one setup the usage of a modern human-collaborative robot to move light source and detectors is planned. These intelligent imaging systems are based on the use of novel neural network architectures for computed tomography. Building such novel imaging systems requires the interest and ability of the respective candidate to work on the mechanical and electrical design of such systems as well as the programming of neural networks to improve the overall image quality. This call is open to master’s graduates or graduates with equivalent qualification worldwide.

We offer

  • PhD and expertise development in the field of construction of imaging systems based on high precision mechanical construction and artificial intelligence, an interdisciplinary and high-quality task environment
  • Motivation and enjoyment of your work due to the immediate visibility of your contributions in 3D imaging, appreciation of your results by our partner institutes and industry as users of your 3D imaging algorithms and data
  • Positive working atmosphere and integration into the international working group, contribution of your strengths and ideas, cooperative and self-organized way of working
  • Participation in international conferences financed by the university and development of a professional network
  • High potential for a further international career in science or industry in the above field, possibility for further qualification as a postdoc

Your responsibilities

  • Design and physical realization of imaging systems including the mechanical setup, compensation of mechanical inaccuracies by 3D imaging corrections based on novel neural network architectures
  • Building and exploring novel intelligent imaging systems and validating them with user data from academia and industry
  • Publication of research results as well as discussion and initiative to pursue new research questions
  • Cooperation with users and applications of the imaging systems in science and industry in the context of novel questions

Your qualification profile

  • You have completed your master's degree in computer science, electrical engineering, software engineering, physics or a similar course of study and you are interested in working independently
  • You are able to learn software programming languages like Python, C++, etc. and to implement your algorithms accordingly
  • You should have the interest to validate your contributions in the field of intelligent imaging (algorithms, software, and imaging set-ups) on real imaging systems
  • Your English skills enable you to communicate in a scientific environment, you enjoy working in an international team

The University of Stuttgart has a policy of gender equality and therefore particularly encourages qualified women to apply. Disabled persons are given preferential consideration in the case of equal qualification. Please send your application as an email to the following address with the subject "application cis-ai":

Email: and cc

For general inquiries, please contact Mr. Timo Schweizer (secretary's office) by phone at +49-711-685-88390 or Professor Simon at +49-711-685-88450 for questions regarding the content of the advertised position.

Department of Computational Imaging Systems
at the CACE Institute of the Faculty Computer Science, 
Electrical Engineering and Information Technology
Prof. Dr. S. Simon
Universitaetsstr. 38
D-70569 Stuttgart

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