Dear colleagues, 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 biomedical image 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 https://euraxess.ec.europa.eu/jobs/315826 The position starts before 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) as soon as possible. Best regards, Raphaël. -- Raphaël Marée (PhD) http://www.montefiore.ulg.ac.be/~maree/ http://www.cytomine.org/ Tél.: +32 4 366 26 44