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/Job opportunities/PhD fellowship network-analysis for precision oncology

PhD fellowship network-analysis for precision oncology

PhD - Gent | More than two weeks ago

IDLab/IMEC (Data integration & Biological networks subgroup, UGent) has an open position for a PhD fellowship (4 years) in the domain of precision oncology.

What you will do

IDLab/IMEC (Data integration & Biological networks subgroup, UGent) has an open position for a PhD fellowship (4 years) in the domain of precision oncology. The goal of the PhD research is to develop and apply data analytics to study the evolution of metastatic cancer in order to identify prognostic biomarkers. Hereto innovative methods need to be developed that integrate genomic information derived from cohorts of tumor samples with clinical information (e.g., therapy outcome). The focus will be on studying the added value of graph based-analysis for feature extraction and patient stratification. The research will be performed in close collaboration with clinicians, experts in molecular diagnosis and software engineers to facilitate the transfer of the developed methods to a clinical setting. 

Research group

IDLab Ghent
 
IDLab is a research group of Ghent University, as well as a core research group of imec.  IDLab performs fundamental and applied research on data science and internet technology and counts over 300 researchers.  Our major research areas are machine learning and data mining; semantic intelligence; multimedia processing; distributed intelligence for IoT; cloud and big data infrastructures; wireless and fixed networking; electromagnetics, RF and high-speed circuits and systems. 
IDLab is also part of imec, the world-leading research and innovation hub in nanoelectronics and digital technologies. The combination of our widely acclaimed leadership in microchip technology and profound software and ICT expertise is what makes us unique. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create ground-breaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy.

Who you are

•    You hold a Master degree in Bioinformatics, Engineering, Bioscience engineering, or an equivalent degree. Last year students can also apply
•    A strong interest in interdisciplinary research 
•    Interest/knowledge of computer science and/or machine learning
•    Interest in biology or molecular biology
•    Proficiency in programming languages such as Python, R and/or C++ as well as Linux systems.
•    Fluency in spoken and written English 

More information
The ‘Dataintegration & Biological networks’ group headed by K. Marchal is located at the engineering faculty of Ghent University (IDLab/IMEC). The group’s research focus is on bioinformatics method development. The group is specialized in combining advanced datamining techniques with biological principles. http://bioinformatics.psb.ugent.be/DBN/ and http://www.ugent.be/ea/idlab/en/members/kathleen-marchal.htm. 

Interested?

To apply, forward a copy of your CV, a motivation letter and contact information for two references, to the following email address kathleen.marchal@ugent.be
Application deadline: July 31, 2020
Tentative start date: October 2020
Duration: 4 years