The PhD project will focus on development on multi-scale and multi-physics models together with machine learing methods for researching the materials for future particle accelerators, electron microscopy, medical devices, high power energy applications and more.
Required Qualification/Skills
MSc in physics, chemistry, materials science, or similar. Good understanding and experience in computational physics together with experience in the following fields is highly appreciated:
- Density Functional Theory
- Molecular Dynamics (Force Field) simulations
- Machine Learning methods
- Scientific software development (C/C++, Python)
- Finite Element Method
- Electromagnetism
Notification of results
Interviews with the candidates fulfilling the written requirements will be conducted at earliest possible moment. Final announcement of selection is in 30.06.2025 at latest. Send all the required documents in a single pdf file to veronika.zadin@ut.ee, kairi.herik@ut.ee
Required Documents
- Motivation letter
- Curriculum Vitae in an established academic format, including list of publications if applicable
- A copy of a document (including its annexes) showing that the candidate holds the required qualification (authorized translation into Estonian, English or Russian if the credential is not in one of these languages). A candidate may be required to submit the original or a certified copy of the original document (including its annexes) during the evaluation process. If the candidate has acquired the higher education in question abroad, he or she may be required to submit an assessment issued by the Academic Recognition Information Centre (Estonian ENIC/NARIC) of his or her qualification in respect of the qualification requirements for the position
- Other materials considered relevant by the candidate (a list of such materials must be included in the application or annexed to it)
