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Post-doctoral Researcher: Machine Learning Force ... (No replies)

Menno Bokdam
2 years ago
Menno Bokdam 2 years ago

Post-doctoral Researcher: Machine Learning Force Fields for Silicon Industry at the MESA+ Institute for Nanotechnology

Group. The University of Twente is looking for a post-doctoral researcher in a combined academic-industrial research project. The successful applicant will join the Computational Chemical Physics group (http://www.utwente.nl/en/tnw/ccp/) part of the Faculty of Science and Technology and the MESA+ Institute for Nanotechnology in Enschede, the Netherlands. The open position is in the Dynamic Solids subgroup of Dr. Menno Bokdam (dynamicsolids.net).

Project. In the project you will apply state-of-the-art molecular dynamics simulations based on on-the-fly Machine Learning Force Fields to resolve exciting fundamental questions around heat management in lithography. You will work closely together with an experimental project colleague, embedded in the XUV group (in the same faculty) and with a world leading industrial partner. The simulations will be steering the experimental efforts and provide atomic-scale insight into the underlying physical mechanisms. The project will run for 1.5 years and could possibly be extended with an additional half year. Salary scale is according to the Collective Labour Agreement of Dutch Universities. The project is expected to start at the 1st of November 2022, but some flexibility is possible in the start date of the post-doc.

Job requirements
• A PhD degree in Physics, Chemistry or Materials Science in the field of condensed matter simulations
• Proven experience with a DFT based simulation package (VASP, Quantum Espresso, CASTEP,...)
• Programming skills for post-processing applications (Python, Fortran, C++)
• Experience running simulations on HPC clusters
• Good communication skills: writing, presenting and teamwork
• Track record of published first-principles simulations studies in peer-reviewed journals

Preferred skills
• Experience with molecular dynamics simulations
• Experience with machine learned interatomic potentials, descriptors, regression, etc.
• Knowledge of heat transport and radiative cooling mechanisms
• Experienced VASP user

Interested candidates should apply via email to Dr. Menno Bokdam ([email protected]). To be considered, the email should contain a motivation letter, CV and a short description of 1 or 2 publications of which you are especially proud. The job application is open until the 16th of October or until the position is filled.




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Ab initio (from electronic structure) calculation of complex processes in materials