PhD candidate for Spatial multi-omics data integration

Ghent VIB-UGent Center for Inflammation Research

18 Jul 2024


VIB-UGent Center for Inflammation Research

Yvan Saeys Lab



Project Overview

This PhD position is one of multiple positions within a larger project aimed at optimizing spatial omics analysis for a variety of biological applications. Your research will primarily focus on the integration of spatial omics data, working closely with leading experts. including the Martin Guilliams lab and the Chris Marine lab.

What you will do

  • Analyze and integrate spatial omics data generated from advanced technologies such as MERFish Vizgen, MACSima Miltenyi, and 10X Visium-HD generated at the VIB.
  • Develop new computational methods and tools for spatial omics data analysis.



  • You obtained a Master's in Computer Science, Artificial Intelligence, Bioinformatics, Physics, Engineering, Bio-engineering, or equivalent.
  • Background in AI (deep learning, probabilistic modelling, generative AI) or machine learning
  • Proficient in Python or R programming
  • Strong communication skills in English

Desirable but not required 

Preference will be given to candidates with experience with

  • experience with processing scRNA-seq or spatial transcriptomics data
  • experience with high-performance computing and software containers
  • a background in systems biology

Key personal characteristics

  • Strong interpersonal skills
  • Ability to work independently and as part of a team  

We offer

  •  Competitive stipend and benefits package
  • Fully funded PhD scholarship, but encouraged to apply for a national PhD fellowship (e.g., FWO)
  • A versatile and challenging academic position with very diverse contacts in a world-class research environment operating at an international level, and various opportunities to broaden your expertise.
  • Access to state-of-the-art compute & GPU infrastructure 
  • Collaborative and supportive research environment
  • Attendance of national and international conferences
  • Training courses in academic, technical, and career skills.

How to apply?

Please complete the online application procedure and include a detailed CV, two reference letters, and a motivation letter.

For further information and questions, please send an email to Yvan Saeys  ([email protected]).

VIB values diversity - in backgrounds and in experiences. The institute needs people from all backgrounds and ways of life to help build a thriving scientific environment. VIB is therefore looking for candidates who are not only strong in their own aptitudes but care deeply about supporting each other's growth. VIB's collaborators are people with different strengths, experiences and backgrounds, who share a passion for science that generates impact in science and in society. Diversity not only includes race and gender identity, but also nationality, age, disability status, sexual orientation, religion and many other parts of one’s identity. All of VIB’s employees’ points of view are key to its success, and inclusion is everyone's responsibility.