Humboldt-Universität zu Berlin - Mathematisch-Naturwissenschaftliche Fakultät - Visual Computing

Open Research Position FONDA

Within the Collaborative Research Center Fonda, the Visual Computing Group at Humboldt University is looking for an enthusiastic researcher working on new methods for increasing portability of 3d Computer Vision Workflows and methods.

The position is embedded into the interdisciplinary subproject Portable and Adaptive Data Analysis Workflows for Real-Time 3D Vision , which is processed jointly between Computer Science and Physics and also in collaboration with the Computer Vision & Graphics group of Fraunhofer HHI.



Within this project, we plan to establish an abstract description of common components of 3D vision data analysis workflows (DAWs) that allows for an efficient distribution on different computing hardware infrastructure as well as a simple adaptation to different experimental settings and sensors. The work includes the analysis, modularization and optimization of of 3d vision algorithms with respect to computational and memory demands, scalability, data dependencies, and adaptability. The focus will be on 3D vision / 3D reconstruction DAWs in the area of microscopy and suitable schemes of parallelization, namely optical reflection tomography of fossils captured in amber on a microscopic scale and real time tracking.

Information about the position

Faculty of Mathematics and Natural Sciences – Department of Computer Science Research Fellow with expected full-time-employment – E 13 TV-L HU (third party funding, first contract until 30.06.2024)

Job description: Research position within the Collaborative Research Center FONDA; development of novel 3D computer vision methods for microscopy, 3d reconstruction/tracking workflow optimization for distributed computing; activities for scientific qualification


  • Completed university degree in computer science or related disciplines (preferably with very good marks)
  • profound knowledge in computer vision, deep learning, software engineering
  • interest in 3d image analysis and processing
  • experience in C++ and workflow systems beneficial
  • very good command of English
  • team player

Please send your application until July 27th, and quoting the reference number DR/089/22, to Humboldt-Universität zu Berlin, Faculty of Mathematics and Natural Sciences, Department of Computer Science, Prof. Dr. Peter Eisert (located: Rudower Chaussee 25, Berlin-Adlershof), Unter den Linden 6, 10099 Berlin, Germany or preferably in electronic form as one PDF file to

HU is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.

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