Open Positions

Student Assistant in Computer Vision

The Computer Vision Group of Heidelberg University invites applications for a position as a student assistant (HiWi) (MSc/BSc). Students will assist with the development of a machine learning-based user interface for research in large image databases and particularly be responsible for the interactive visualization of results.
This project is also suited for conducting an MSc thesis.


  • Implementing the visualization module of the web interface
  • Integration of neural network based algorithms into the web interface


    • Motivated and able to work independently
    • Knowledge of current web technologies, like JavaScript and HTML5
    • Familarity with Linux
    • Good programming skills
    • Ideally familar with data visualization
    • Ideally knowledge of Machine Learning, Convolutional Neural Networks and Python
    • Interested students should submit a short application (containing a complete CV with respective qualifications) to the following email address:

      Reviewing of applications will begin on 7.2.2018.

      Applications received before that date will receive full consideration.


      PostDoc in Deep Web-Scale Computer Vision

      The University of Heidelberg invites applications for a fully funded PostDoc position in Computer Vision within a recently acquired research project on web-scale data analysis.The position will be affiliated with the Heidelberg Collaboratory for Image Processing (HCI).

      The HCI is the largest university-based research unit in its field in Germany and offers a unique environment for fundamental research on image analysis.The HCI comprises four research groups ( Hamprecht, Jaehne , Ommer , Schnoerr) and is funded by the German Research Foundation (DFG), industrial partners, and the University. Heidelberg is an attractive, lively city and the University and the HCI provide an inspiring research atmosphere.

      The open position is situated in the research area of visual object recognition in images and video, esp.web-scale object detection with a focus on deep architectures for image understanding.
      Successful candidates

      • will have a PhD and
      • should have published in first-rate venues for Computer Vision and Machine Learning.
      • They will have a strong mathematical background,
      • solid programming experience,
      • and above all a strong motivation and desire for research.
      • Experience in Deep Learning would be a plus and fluency in English is required (both written and spoken).

      Applications should be submitted by email and include a motivation letter with research interests, a complete CV, academic transcripts with grades, a list of publications, and two academic references.
      The starting date is negotiable.

      Email: hci [dot] applications [at] iwr [dot] uni-heidelberg [dot] de
      Prof. Dr. Björn Ommer
      Heidelberg Collaboratory for Image Processing (HCI)
      University of Heidelberg