Open positions

Are you interested in the research topics of the Bore Research Group? We are always looking for potential master’s and PhD students and postdocs to join the group. In general, we are searching for candidates for the following two research tracks:

Application track

• Apply and develop machine learning models for molecular dynamics studies of challenging chemical systems

Here, we are particularly interested in candidates bringing their own system of interest or research question, of which they have in-depth knowledge. We can also propose projects involving:
- Ice friction
- Ion conductivity of nanoporous materials
- Nuclear quantum effects for guest molecules in nanoporous materials
- Melting point and phase diagram determination
- Battery materials
While applied, this type of project involves the use of multitude of methods and analyzing large amounts of data. This however is expertise that we don’t require by the candidate, as we already exhibit it in the Bore Research Group, and are prepared to invest time on training new lab members.

Development track

• Develop new methods implemented in-house software, making the impossible possible

We are open to new ideas but can also propose projects involving:
- Adversarial active learning
- Uncertainty quantification
- Coarse-grained models based on machine learning potentials
- Foundational machine learning potentials
- Electric field-dependent machine learning potentials
For this type of project, we seek candidates that are profficient in coding, with a strong theoretical background.

External funding opportunities

On the two tracks, as detailed above, we are open to assisting in proposal writing with the following external funding opportunities in mind:
- Marie Curie fellowship [11 Sep 2024]
- Three-year Researcher Project with International Mobility [Deadline is open-ended]
- See also industrial partnership, which may provide funding opportunities for research applying cutting-edge science to real-world problems.