You will work within the new research project "Adaptive Cross-modal
Sensor Data Acquisition", which is a cooperation between the University
of Hamburg (UHH, groups of Prof. Dr. Gerkmann and Prof. Dr. Frintrop)
and the Technical University of Hamburg (TUHH, groups of Prof. Dr. Knopp
and Prof. Dr. Schlaefer). A goal of the project is to develop algorithms
to analyze images and other sensor information obtained from mobile
robots or medical measuring devices in order to determine the parts
which are most promising for further analysis. This enables to
prioritize the data processing in order to efficiently utilize computing
and time resources.The research in our group will focus on the computer
vision aspects of the project, involving saliency detection, the
combination of vision data with other modalities such as audio or
medical data, probabilistic approaches for active vision, and deep
learning approaches in computer vision. Pre-knowledge in one or several
of these areas is an advantage but can also be obtained on the job.
You should have a university degree in an appropriate area such as
computer science, engineering, physics, or mathematics and you should
have experience with image processing/computer vision. Knowledge of
machine learning, especially deep learning, is helpful.
You should have good programming skills, preferably in Python, C++, or
Matlab. Knowledge of the image processing library OpenCV and of Deep
Learning libraries such as Tensorflow or Caffe is helpful.
Good knowledge of English (spoken and written) and good communication
skills are essential, knowledge of the German language or the
willingness to learn German will help you to enjoy your stay better. If
you are also curious, motivated, and communicative, willing to
continuously learn and improve your skills, you are a perfect candidate
to join our team.
- 3 year full-time position (part-time work is possible (but at least 50%))
- payment according to the German Public Service Scale TV-L 13- the
opportunity to work on interesting state-of-the-art research topics
according to international standards together with experienced researchers
- a pleasant working environment and a great team
- a lot of room for your own ideas
The University aims to increase the number of women in research and
teaching and explicitly encourages women to apply. Equally qualified
female applicants will receive preference in accordance with the Hamburg
Equality Act (Hamburgisches Gleichstellungsgesetz, HmbGleiG).
Severely disabled applicants will receive preference over equally
qualified non-disabled applicants.
Please send your electronic application in a SINGLE PDF DOCUMENT
(including a detailed CV, a certificate of your latest degree including
grades, a pdf of your master thesis (postdocs: PhD thesis), and if you
have already published research articles: your publication list and a
pdf of your best article) to Kerstin Diop:
[hidden email] <mailto:[hidden email]>.
The subject in the email shall start with "APPLICATION". The closing
date for applications is January 14th, 2018.
(Professor for Computer Vision at UHH)