Phd position at Montefiore Institute (Belgium): Deep learning/Computer vision/Biomedical Image Analysis


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The Montefiore Institute (http://www.montefiore.uliege.be) at the
University of Liège, Belgium has an opening for a PhD candidate to work
on the development of novel deep/machine learning algorithms for
quantitative multimodal bioimage analysis.

More specifically, this PhD project entails the development of novel
algorithms to automatically locate, measure, and classify elements in
multimodal biomedical images with a specific focus on skeletal
development applications. These algorithms will be disseminated to a
wide audience through the open-source Cytomine web-based software
platform (http://uliege.cytomine.org).

The ideal candidate should have a Master in Computer Science or
Biomedical Engineering, with a taste for deep/machine learning and
modern software programming. The candidate will be supervised by senior
scientific staff with a background in computer science (Prof. Wehenkel,
Prof. Geurts, Dr. Raphaël Marée) in collaboration with biomedical
researchers (Dr. Marc Muller) and other project partners.

The candidate will actively participate in PhD training activities
within the BioMedaqu consortium. It is a Marie Sklodowska-Curie
Innovative Training Network (MCSA-ITN) with the primary research aim to
create an innovative expertise combining research in skeletal biology of
aquaculture fish species with that in biomedical models and humans. In
total, 15 Early Stage Researchers (ESRs) will be appointed by the
BioMedaqu consortium for 36 months each.

There are strict eligibility requirements for the ESR PhD positions in
MSCA-ITN. Please ensure that you qualify before applying, as ineligible
candidates cannot be considered. See more details here:
http://www.giga.uliege.be/cms/c_279692/en/biomedaqu-open-positions

The position starts between September 2018 and January 2019. Interested
and eligible candidates should send their résumé and application letter
to Dr. Raphaël Marée (raphael.maree@uliege.be) and Dr. Marc Muller
(m.muller@uliege.be) no later than August 30th, 2018.