PhD Studentship: Machine Learning: The University of Birmingham’s School of Mathematics invites applications for a PhD Studentship in Machine Learning for Molecular Modeling. This fully funded position covers 100% of home fees and provides a tax-free annual allowance of £18,622 (UKRI rate for 23/24).
Summary Table:
| Qualification Type | Location | Funding for | Funding Amount | Hours | Placed On | Closes |
|---|---|---|---|---|---|---|
| PhD | Birmingham | UK Students, EU Students, International Students | 100% Home fees covered, and a tax-free annual allowance of £18,622 | Full Time | 27th November 2023 | 27th February 2024 |
Study Area:
Machine Learning for Molecular Modeling
Scholarship Description:
This PhD project focuses on developing Machine Learning methods for Molecular Modeling, emphasizing dynamics-preserving coarse-graining strategies. The research directions include automated coarse-graining of molecular systems, computational efficient equivariant representations for high-dimensional tensorial quantities, active learning strategies for Machine Learning of Interatomic Potentials (MLIP), and numerical integration methods for stochastic machine-learned dynamical models.
Eligibility:
Applicants with a strong background in mathematics, statistical computing, and an interest in molecular modeling are encouraged to apply.
Required Documents:
- CV
- Cover Letter
- Academic Transcripts
- Letters of Recommendation
How to Apply:
Interested candidates should submit their application, including the required documents, before 23:59, January 14, 2024. For additional funding opportunities, candidates can contact the project supervisor, Dr. Matthias Sachs (m.sachs@bham.ac.uk).
Last Date: 27th February 2024
