PhD Position in Machine Learning: Wageningen University & Research is offering a fully funded PhD position at the interface of biology, chemistry, and computer science. The position focuses on developing machine learning methodologies for the computational representation of molecular functions, aiming to impact global health and sustainability in the chemical industry.
PhD Position in Machine Learning for Life Sciences
Designation
PhD Candidate in Machine Learning for Life Sciences
| Detail | Information |
|---|---|
| Research Area | Machine Learning, Computational Biology, and Chemistry |
| Location | Wageningen, Netherlands |
| Eligibility/Qualification | MSc degree in Computer Science, Mathematics, Biology, Chemistry, or a related program; programming proficiency in Python or other languages; experience in machine learning methodologies. |
Description
Research Focus:
The position involves developing methodologies to computationally model molecular representation, dynamics, and interactions using advanced machine learning techniques like neural radiance fields (NeRFs). Candidates will work closely with experimentalists in various fields such as synthetic biology, pharmacology, and agricultural chemistry.
Responsibilities:
- Conduct literature reviews and synthesize current research in machine learning, biology, and chemistry.
- Collaborate with national and international researchers in relevant fields.
- Write and present research findings at conferences and in scientific journals.
Qualifications Required:
- Completed MSc in relevant fields (Computer Science, Biology, Chemistry).
- Experience in Python; familiarity with C/C++ or Rust is advantageous.
- Proven application of machine learning techniques, particularly deep neural networks.
- Interest and drive to contribute to interdisciplinary research.
- Excellent written and verbal English skills (C1 level or equivalent).
How to Apply
Interested candidates should apply directly through the vacancy page on Wageningen University’s website. Applications require personal data processing approval.
Last Date for Application
January 6, 2024
Further Information:
For inquiries, contact:
- Dr. Daniel Probst: daniel.probst@wur.nl
- Prof. Dick de Ridder: dick.deridder@wur.nl
- Recruitment Contact: Noorien Abbas, vacaturemeldingen.psg@wur.nl
This opportunity is an excellent chance for candidates looking to contribute to impactful research at a leading institution in a diverse, international environment.
