Hiring is done on a rolling basis. Specific openings will be posted here, but general inquiries are also welcome. Read carefully the instructions before applying: we like to give proper consideration to each serious candidature, but in order to do so we need to quickly sift through the many mass-applications that we receive and that have no connection with individual projects or the general research program of the laboratory.
Please consider that in order to perform a preliminary screening, all the inquiries that do not follow these guidelines might be silently ignored.
Post-doctoral position on physics-based machine learning of functional materials properties
A 1 year post-doctoral research position, renewable for one more year upon agreement, is available at the Laboratory of Computational Science and Modelling at EPFL, starting from January 2019.
EPFL offers very attractive employment conditions, with a salary that will be determined depending on the level of experience.
The project, in collaboration with a major semiconductor company, is aimed at developing physics-based machine-learning models of functional materials, with the final goal of enabling high-throughput screening of novel candidate compounds.
The applicant should have a PhD in a related subject, with a strong background in atomistic modelling, with a focus on electronic structure theory and the calculation of response properties such as polarization and dielectric constants, and should be keen to collaborate with the industrial partner to model complex materials science problems. He/she should be able to communicate and write effectively in English, be creative, independent and a good team player. Previous experience with scientific software development in C++ or Python, and general knowledge of machine learning methods is a plus.
Applicants are invited to send a one-page cover letter, a full CV including publication list, and contact information of two references to [email protected] Evaluation of candidates will start immediately, and continue until the position is filled.