PhD Position in Machine Learning: Wageningen University & Research is offering a fully funded PhD position focusing on the development of advanced machine learning techniques for studying protein-ligand interaction dynamics. This research is conducted in collaboration with wet-lab researchers at the Probst Lab. The successful candidate will explore new methodologies to improve our understanding of dynamic interactions crucial for biological functions.
Fully Funded PhD Position in Machine Learning for Life Sciences
Designation
PhD Student – Machine Learning in Life Sciences
| Category | Details |
|---|---|
| Research Area | Machine Learning, Protein Dynamics |
| Location | Wageningen, Netherlands |
| Eligibility | MSc in Computer Science or Related Field |
| Application Deadline | April 28, 2025 |
Research Area
The focus of the research will be on:
- Geometric deep learning
- Transformer-based approaches
- Protein-ligand interaction dynamics
Location
- Wageningen University & Research, Wageningen, Netherlands
Eligibility/Qualification
Candidates should possess the following qualifications:
- A completed MSc degree in Computer Science, Computational Biology, or Computational Chemistry.
- Proven experience in Python programming or proficiency in another language like C/C++ or Rust.
- Prior experience in molecular dynamics simulations of proteins or protein-ligand complexes is advantageous.
- A master’s thesis relevant to the project is required.
- Strong understanding of neural network methodologies and machine learning techniques.
- Excellent command of English, at a C1 level.
Description
As a PhD student, you will engage in:
- Developing innovative machine learning methodologies applicable to life sciences.
- Synthesizing and evaluating cutting-edge research in machine learning, chemistry, and biology.
- Collaborating with international researchers from various fields.
- Pursuing publication opportunities in prestigious natural science journals and computer science conferences.
- Emphasizing the importance of interdisciplinarity and open science in research.
How to Apply
Interested candidates can apply directly through the vacancy page on the Wageningen University & Research website. For inquiries, potential applicants may contact Dr. Daniel Probst via email at daniel.probst@wur.nl or Prof. Dick de Ridder at dick.deridder@wur.nl.
Last Date to Apply
- Applications are accepted until April 28, 2025.
Take advantage of this opportunity to contribute to innovative advancements at the cutting edge of machine learning and life sciences!
