Vacancy PhD fellowship in microbial systems genetics

(24-04-2020)

IDLab/IMEC Ghent University has an open PhD position in the domain of microbial systems genetics. This PhD envisages a dual degree between the KULeuven and UGent. The goal of the PhD research is to develop and apply graph-based methods to study adaptive evolution of microbial communities. Hereto innovative methods need to be developed that integrate genomic information with molecular profiling (metatransciptomics) data. The research will be performed in close collaboration with microbial ecologists and microbial molecular biologists at the KU Leuven. Applications involve studying the role of microbial communities in acquiring microbial antibiotic resistance or pesticide degradation.

Requirements

  • 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 student will be located in the group headed by K. Marchal located at the engineering faculty of Ghent University (IDLab/IMEC). The group’s research focus is on bioinformatics method development and collaborates with the group of J. Fostier. The group is specialized in combining computerscience with biological principles. This PhD research will involve a close collaboration with Prof. D. Springael and Prof. H. Steenackers at the KU Leuven. A dual PhD degree in Ghent University and KU Leuven is envisaged. For more information, contact kathleen.marchal@ugent.be.

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

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