PhD Candidate in Machine Learning: Join an exciting collaborative research program at VIB-UGent Center for Inflammation Research, focusing on developing probabilistic deep-learning models for biological data analysis.
PhD Candidate in Machine Learning of Large-Scale In Vivo Perturbational Omics
Designation
PhD Candidate
| Field | Details |
|---|---|
| Research Area | Machine Learning, Computational Biology |
| Location | Ghent, Belgium |
| Eligibility/Qualification | Master’s in Software Engineering, Computer Science, Data Science, Bioengineering, Bioinformatics, Engineering, Physics, or related fields. Experience in machine learning or computational biology is essential. |
| Programming Skills | Proficiency in Python; experience with Pytorch or JAX is a bonus. |
| Communication Skills | Excellent English proficiency; collaborative personality with attention to detail. |
Description
We are seeking a motivated PhD candidate to develop probabilistic deep-learning models that automatically extract biological knowledge from in vivo perturbational omics data. The project leverages advanced CRISPR technologies to screen for molecular factors affecting immune cell pathways, enhancing the speed and scale of research in developmental and disease contexts. The candidate will work within both experimental and computational teams, enabling direct validation of models in biologically relevant settings. Opportunities exist for learning and collaboration in a vibrant interdisciplinary atmosphere.
How to Apply
Interested candidates should submit the following documents via the VIB application tool:
- Motivation letter (1-1.5 pages)
- Curriculum vitae
- University degree certificates
For more information, please contact:
- Prof. Wouter Saelens: wouter.saelens@ugent.be
- Prof. Martin Guilliams: martin.guilliams@ugent.be
Last Date to Apply
Until position filled
This scholarship provides a unique opportunity to work at the forefront of machine learning applications in biological research and contribute to advancements in precision medicine.
