PhD Student for machine learning applications to large-scale neural image analysis
The Image Analysis and Learning group of the HCI, University of Heidelberg, is inviting applications for a position as PhD student.
We are working with cutting-edge nanoscale resolution brain imaging data. Out of this data, neuroscientists try to reconstruct the wiring diagrams (the “connectomes”) of brain compartments. Since the image volume size has now become prohibitively large for manual analysis, we are developing machine learning based solutions for automated data processing.
- a Master’s degree (or equivalent) in Computer Science, Mathematics, Physics or another strongly computational field
- programming experience
- excellent English skills, including writing
- The first year is financed by a stipend from HGS MathComp, the second and third year are fully funded according to TV-L 13.
- Fun research environment with multiple opportunities for collaboration and learning
- Close collaboration with groups at Janelia Research Campus, a pioneering neuroscience research center in Ashburn, VA, USA
The search process starts now and will remain open until the position is filled.
To apply, send your CV, publication list (if applicable), links to open source software contributions (if applicable) and first degree transcripts to Dr. Anna Kreshuk at anna.kreshuk.
Find out more here : http://hciweb.iwr.uni-heidelberg.de/node/5992