Post-doctoral researcher “Integrative Network Analysis for Gene Discovery in Wheat”

Ghent VIB-UGent Center for Plant Systems Biology

13 Nov 2019


VIB-UGent Center for Plant Systems Biology

Klaas Vandepoele Lab


For a joint project of the VIB Center for Plant Systems Biology and BASF Agricultural Solutions Innovation Center Gent, we are looking for a postdoctoral researcher who will develop and implement computational pipelines to build and compare different biological networks for gene function analysis in cereals. 

This 3-year project, starting on 1 March 2020, is fully funded by BASF and VLAIO (Flanders Innovation & Entrepreneurship). The successful applicant will be part of the Comparative Network Biology lab led by Klaas Vandepoele in VIB, but will also closely work together with BASF data scientists and program leaders.

Job description

  • Collect and integrate public and private crop expression datasets
  • Develop computational pipelines to build and compare cross-species gene co-expression and regulatory networks to identify key transcription factors (TF)
  • Perform data analysis of DAP-seq high-thought experiments to identify TF binding sites and build TF regulatory networks
  • Perform/assistant data analysis on Y2H and build protein-protein interaction networks
  • Develop pipelines and methodologies to compare and integrate multiple biological networks
  • Integrative network analysis for gene function prediction and trait-associated gene identification
  • Closely work with both data scientists, biologists and wet-lab scientists in both VIB and BASF
  • Reporting of results through publications in peer-reviewed international journals.
  • Attending and presenting your results at international scientific events.


  • PhD in Bioinformatics, Computational biology or similar.
  • Good programming (Python, R) and Linux skills are a must
  • Familiar with reporting in Jupyter notebook, bitbucket and git system for code sharing and sustainable data analysis
  • Strong ability and experience in high-throughput biological network and NGS data analysis
  • Knowledge in plant/crop genetics and molecular biology is a plus
  • You are enthusiastic about scientific research, computational biology, and want to learn more about advanced biological concepts.
  • You have good writing and communication skills with both data scientists and biologists
  • You are proficient in English.

How to apply?

Submit your application online to Jobsoid by sending your letter of motivation, a detailed CV and contact info of 2 references (including e-mail addresses and phone numbers). 

Application deadline: 31/12/2019 or until position has been filled.

About VIB Center for Plant System Biology

The VIB Center for Plant Systems Biology is one of the world leading centers for advanced plant sciences. The Comparative Network Biology lab, led by Klaas Vandepoele, of the VIB Center for Plant Systems Biology is home to an enthusiastic, diverse and international group of researchers in the field plant bioinformatics. Beyond our expertise in plant genomics, comparative genomics and scientific creativity, we are looking for a new team member to develop new computational approaches for integrative network biology in crops.

About BASF

BASF is the world’s leading chemical company because we offer intelligent solutions for our customers and for a sustainable future. Agriculture plays a fundamental role in fulfilling many of humanity’s basic needs: food, feed, energy. To support growers and those who take care of our environment, BASF develops innovative solutions for farming, pest control and landscape management – so that we can effectively contribute to improving people’s lives and business’ demands.

Our plant innovation center in Ghent aims at developing innovative solutions to optimize plant growth. Its main purpose is to make agricultural economy more productive and as such contribute to society by helping to ensure an ample supply of high quality food and feed. You will be closely working with Genomics, Gene Function Annotation team and Crop Efficiency Program leaders which aim at identification and prioritization of trait-associated genes by understanding gene function using diverse wet-lab and (bio)informatics technologies and data sets.