We invite highly motivated candidates for a postdoctoral position to perform research in theoretical and computational physics in the areas of materials design and informatics. Our research is aimed at increased understanding of the theory of materials and has applications in the development of new materials, for example, for energy harvesting, conversion, and storage. The work spans areas of mathematical physics, quantum mechanics, numerical methods, programming, and the use of informatics and AI methods in materials research.

The position is for a research project in the competence center FunMat-II and aims at materials design of novel hard coating alloys operating at extreme conditions of high temperature and large stresses. Work tasks include the development of theoretical methods for the computational prediction of materials properties, execution of high-throughout calculations on supercomputers, development of software workflows for automated computation, analysis, and data curation in large scale databases, and the use of informatics and machine learning/AI-based methods on materials data.

FunMat-II is a competence center funded by VINNOVA (the Swedish Agency for Innovation Systems) in materials science and surface technology at Linköping University with partners at Uppsala University, the research institute Swerea KIMAB, and numerous Swedish and international industry partners. At Linköping University, the Divisions of Nanostructured Materials, Thin Film Physics, and Theoretical Physics participate.

Qualifications:
The position requires a doctorate or an equivalent degree from a foreign university. The doctorate shall have been obtained no longer than three years before the expiration date of the application.The doctorate (or equivalent) should be in theoretical physics, materials physics, or similar.

You must have several published papers in highly regarded journals, with some on the topic of high-throughput computation or machine learning. Experience with theoretical methods for electronic structure calculations with focus on investigations of elastic properties, lattice vibrations and thermodynamic stability of systems is highly beneficial. Experience with programming is necessary, and programming in the language Python is beneficial. The application should include a description of the level of programming in general, and specifically in Python, with concrete examples of software that the applicant has written or contributed to. Contributions to publicly available program code (e.g., in open source projects) are meriting, and if available, links to such contributions should be included in the application.

Great emphasis will also be placed on personal qualities and suitability, such as the ability to work in team, collaborate with other co-workers, accuracy, flexibility and speed. You should be inventive and have an independent attitude.

Appointment time
Two years.

Deadline: March 16, 2020

To apply for the position, follow the link:

https://liu.se/en/work-at-liu/vacancies

and search for External ID IFM-2020-00079. Only applications submitted via the web site will be considered.

Contact persons:

Rickard Armiento

Senior lecturer

[email protected]

Igor Abrikosov

Professor

[email protected]