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PhD / Postdoc Position in Machine Learning and Mathematical Image Analysis
Published(198 days ago)
Heidelberg University / Heidelberg Collaboratory for Image Processing (HCI)Heidelberg
Two Positions (PhD or Postdoc) in Machine Learning and Mathematical
Heidelberg University invites applications for two positions to be filled by PhD students or senior
researchers. The positions are devoted to mathematical models of learning networks for image analysis using
methods from differential geometry and optimal control.
The positions are affiliated with the Heidelberg Collaboratory for Image Processing (HCI,
hci.iwr.uni-heidelberg.de), which comprises four research groups (Hamprecht, Ommer, Rother, Schnörr) focused on the
themes of Image Analysis and Computer Vision, Machine Learning and Mathematical Modeling. Postdocs
will be hired for an initial period of two years, PhD students for three years with the option of further
extension (funding already secured).
Prospective candidates have a degree in Mathematics or Physics. Postdoctoral applicants must have
publications in relevant first-rate journals. Besides a strong mathematical background (for example:
computational spatial statistics, optimization, ODE/PDE numerics, differential/information geometry) we
require fluency in advanced C++ or Python programming as well as in English.
The gross salary ranges from 45.8kEUR to 71.6kEUR (i.e. TVL/13 up to TVL/14) plus social benefits,
depending on qualification and experience. The envisioned starting date is Fall 2018 or later.
Applications should include a motivation letter, a complete CV, the PhD or MSc thesis (or a link to it), a list
of publications (postdocs only), and two references (name, homepage). Please apply by email in PDF-format
to firstname.lastname@example.org. For further inquiries, please contact Christoph Schnörr
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