PhD Student in Applied Physics: Luleå University of Technology invites applications for a fully funded Ph.D. position in Applied Physics with a focus on accelerating nanomaterial growth simulations using machine learning. The project involves developing machine learning force fields to accelerate molecular dynamics simulations for nanomaterial growth. The deadline for applications is 2 May 2024.
PhD Student in Applied Physics – Accelerating Nanomaterial Growth Simulations with Machine Learning
Summary Table:
| Funding | Fully funded |
|---|---|
| Degree Type | Doctor of Philosophy (PhD) |
| Location | Lulea, Sweden |
| Start Date | Upon agreement |
| Closing Date | May 2, 2024 |
Study Area:
Applied Physics, Nanomaterial Growth Simulations, Machine Learning
Scholarship Description:
The project aims to accelerate nanomaterial growth simulations through the development of machine learning force fields. The selected Ph.D. candidate will conduct research in the Division of Materials Science, focusing on atomistic modeling and electronic structure theory methods. The candidate will work closely with other theory and experimental groups to advance research in the field.
Eligibility:
- Master’s degree in engineering physics, physics, chemistry, materials science, or a related subject
- Excellent knowledge in computation of nanomaterials, quantum physics, solid-state physics, atomic and molecular physics
- Experience in atomistic modeling and machine learning is advantageous
- Good command of English is mandatory
Required Documents:
- CV
- Personal letter
- Copies of verified diplomas from high school and universities
How to Apply:
Interested candidates should apply for the position by clicking on the apply button below. The application must be written in English or Swedish and include all required documents. Mark the application with the reference number 1401-2024.
Last Date: May 2, 2024
