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Head of the Laboratory for Scientific Computing and Modelling (PSI) and Professor of Computational Science and Engineering (EPFL)

ArbeitsortLausanne, Genfersee Region, Schweiz

Head of the Laboratory for Scientific Computing and Modelling
at the Paul Scherrer Institute (PSI) and
Professor of Computational Science and Engineering
at the Ecole polytechnique fédérale de Lausanne (EPFL)

PSI is a large center for multi-disciplinary research and a world leading user laboratory. It develops and operates large complex infrastructures that require exceptionally high standards of know-how and experience. With 2000 employees, it is an autonomous institution of the Swiss ETH domain.

EPFL is a leading university with a strong emphasis on basic, engineering, and life sciences. Research and teaching within its School of Basic Sciences includes computational mathematics, high-performance computing, large-scale simulation, and scientific data analysis.

Together, we are jointly seeking to appoint a dynamic personality with strategic thinking abilities as Head of the Laboratory for Scientific Computing and Modelling (LSM) at PSI, and as tenured Professor of Computational Science and Engineering at EPFL. This is a full-time position.


As Head of the Laboratory for Scientific Computing and Modelling (LSM), you will provide vision and strategic leadership in establishing LSM as PSI’s central theoretical and computational science and support unit for the simulation, design, and interpretation of experiments conducted at the institute’s large-scale facilities. These include the Swiss Light Source (SLS), the Swiss Spallation Neutron Source (SINQ), the Swiss Muon Source (S  S) and the Swiss Free Electron Laser (SwissFEL). You will also offer scientific guidance for the analysis of the vast amount of data produced at these facilities, making use of the latest developments in data analytics and machine learning techniques. Moreover, you will direct the cutting-edge energy research performed at LSM, with its specific focus on predictive multiscale simulations of complex energy conversion and storage systems, as well as the accompanying uncertainty and sensitivity quantification methods. LSM operates local HPC infrastructure, and has close connections to the Swiss HPC center CSCS.

As Professor for Computational Science and Engineering, you will provide strong academic leadership in computational mathematics and simulation/data sciences with an emphasis on physics and engineering applications, and foster cooperation with other units at EPFL working in data sciences and high-performance computing.


With the research activities being primarily located at PSI, demonstrated research excellence in the development and analysis of methods for data-intensive science, high-end data analysis, and high performance computing is expected. A solid scientific background in at least one of the LSM core activities: Condensed Matter Theory, Multiscale Materials Modelling, Nuclear Reactor Simulation, Computational Fluid Dynamics, and Accelerator Modelling is a major asset.

For this position, we are seeking a scientist of international standing, with proven records of scientific and technological achievements in computational science and engineering. Demonstrated leadership capabilities and scientific management skills, as well as a strong interest for teaching and education are essential requirements.


Applications including a motivation letter, a curriculum vitae with a list of research outputs, a statement of research (max. 3 pages) and teaching interests (max. 1 page), as well as the contact information of at least five references, should be submitted in PDF format via osition/17104897

by May 17 th , 2019 .

Enquiries may be addressed to:
Prof. Andreas Pautz , chair of the Search Committee
e-mail :

or to:
Prof. Victor Panaretos , director of the Institute of Mathematics,
e-mail :

Additional information is available at , , ,

EPFL and PSI are an equal opportunity employers and family friendly institutions. They are committed to increasing the diversity among their members. They strongly encourage women to apply .

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