PostDoc Position on Biomedical Image Analysis with Machine Learning Methods

PostDoc Position on Biomedical Image Analysis with Machine Learning Methods

Posted by Rebecca Martin on Mon, 21/02/2011 - 16:08

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 PostDoc
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 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/