Researcher in [Field] - Hiring in process/Finished, not possible to apply

The Department of Chemistry - Ångström conducts research and education in the chemistry field. The department has more than 250 employees and has a turnover of 250 million SEK. At the department's six programs, we conduct very successful research of a high international standard. We have a large number of externally funded research projects, often with international cooperation and we see continued good growth in our subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website. 

Duties
The Battery Interface Genome – Materials Acceleration Platform (BIGMAP) project (http://www.big-map.eu) is a consortium of 34 academic and industrial partner groups funded by the European Commission. The announced position is part of BIG-MAP and will be placed at the Department of Chemistry – Ångström Laboratory of Uppsala University. Within this project, the host group (http://www.teoroo.kemi.uu.se/) works on the development of machine-learning (ML) models for accelerating atomistic-scale simulations and predicting properties of molecules and materials. The main focus of the current research project is the exploration and assessment of electronic structure methods and interaction models for the creation of ML-training sets from QM –and AIMD–data; as well as simulations and data analysis of battery-relevant systems to learn about their properties in solution and at solid-liquid interfaces.

Requirements
The applicant must have a PhD degree in chemistry or physics and previous international post-doctoral experience. Concerning scientific skills, the applicant must (i) have a solid background in quantum chemistry modelling of both materials and molecules, (ii) have experience with MD simulations including AIMD simulations, (iii) possess excellent working skills in programming/scripting as well as data handling and (iv) have worked with, or be very familiar with, the application of machine learning to scientific problems.

Very good knowledge of written and spoken English are also required. Consideration will also be given to good collaborative skills, drive and independence, and how the applicant’s experience and skills complement and strengthen the work group as well as contribute to its future development.

Application procedure
The application should include a statement of research interest, CV, certificates of exams and degrees a list of published article and other relevant materials, if available.

About the employment
The employment is a temporary full-time position for 2 years. Starting date 2022-08-01 or as agreed. Individual pay determination.

For further information about the position, please contact: Professor Kersti Hermansson
(+46-18-4713767 or 070-4250626. kersti.hermansson@kemi.uu.se).

Please submit your application by 28 June 2022, UFV-PA 2022/2387.