Join an innovative research project at Delft University of Technology, focusing on the genetic impacts on brain cells using single-cell and spatial machine learning techniques. This scholarship offers a unique opportunity to explore how genetic variations affect brain cell communication, essential for understanding brain disorders.
Designation
PhD Student
Research Area
Machine Learning, Single-Cell Genomics, Neurogenetics
Location
Delft University of Technology, Netherlands
Eligibility/Qualification
- Master’s degree in computational biology, machine learning, bioinformatics, AI, or a related field.
- Strong background in machine learning and data analysis.
- Interest in single-cell omics, spatial data, or systems neuroscience.
- Exceptional analytical thinking and problem-solving skills.
- Proficiency in English and ability to work independently or in a multidisciplinary team.
Job Description
- Develop computational models to simulate the effect of genetic variants on brain cells.
- Use and enhance single-cell foundation models to predict SNP-driven shifts in cell state and fate.
- Integrate spatial transcriptomics data for tissue context anchoring.
- Apply machine learning methods to model cell–cell communication dynamics under genetic perturbation.
- Collaborate with neuroscientists to connect model predictions to experimental and clinical relevance.
How to Apply
Interested candidates should apply online by uploading the following:
- An up-to-date and detailed curriculum vitae.
- Copies of relevant academic transcripts.
- A cover letter detailing:
- Motivation for applying
- Interest in the project
- Evidence of suitability for the position
- Expected outcomes from the position
Address applications to Marcel Reinders and Ahmed Mahfouz.
Last Date to Apply
November 16, 2025
