[Comp-neuro] Postdoc in Machine Learning and Biomedical Image Analysis

Jorg Lucke luecke at fias.uni-frankfurt.de
Fri Feb 18 19:32:50 CET 2011


Postdoc Position on Biomedical Image Analysis with Machine
Learning Methods

The group of Computational Neuroscience and Machine Learning at the
Frankfurt Institute for Advanced Studies (FIAS) and the group of Applied
Systems Biology at the Leibniz Institute for Natural Product Research
and Infection Biology in Jena offer a postpoc position for research on
Machine Learning approaches to the analysis of microscopy images on
infection processes.

The interdisciplinary project aims at using modern probabilistic
approaches to autonomously learn representations of cells and their
interactions in microscopy images. The representations will be used to
automatically analyze the complex interplay between pathogens and immune
cells during infection. The technology learned during the project is
based on Bayesian generative models that can be applied to a large range
of fields and offers the candidate numerous perspectives for the future.

Applicants should have a doctoral degree in Machine Learning, Physics,
Computer Science, Mathematics, Electrical Engineering, or a related
field. Strong analytical skills and good programming experiences are
required. Experience in the analysis of data and the use of Machine
Learning approaches is highly desirable. Good communication skills in
English are essential.

The offered position is a fully funded research position and we are
looking for a highly qualified candidate. The postdoc will work in
international and young research groups at Frankfurt and Jena. We aim
at high-profile research, publish in leading journals and conferences
of the field, and offer and encourage collaborations with leading
international research groups.

Please send applications by

March 7, 2010,

to Johanna Dilley <dilley(at)fias.uni-frankfurt.de> including:

* complete scientific curriculum vitae (including a list of
publications, if applicable)
* copies of certificates
* short statement of research interests and achievements (half a page)
* two letters of reference or the names and contact details of two
individuals who are willing to write a recommendation letter if contacted
* if applicable, provide a proof of proficiency in English (e.g., TOEFL,
IELTS, or similar)

Applications received after March 7 may not be considered.

After the submission deadline, the position can be filled as soon as a
suitable candidate is found.

For further information about the Computational Neuroscience and Machine
Learning group at the FIAS see:
http://fias.uni-frankfurt.de/cnml

For further information about the Applied Systems Biology group at the
Leibniz Institute for Natural Product Research and Infection Biology see:
http://www.sysbio.hki-jena.de/

-- 
Dr. Jörg Lücke
Research Group Leader and Research Fellow
Department of Physics and Frankfurt Institute for Advanced Studies
Goethe-Universität Frankfurt
Germany

http://fias.uni-frankfurt.de/cnml


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