EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the
most dynamic university campuses in Europe and ranks among the top 20
universities worldwide. The EPFL employs more than 6,000 people supporting the
three main missions of the institutions: education, research and innovation.
The EPFL campus offers an exceptional working environment at the heart of a
community of more than 16,000 people, including over 12,000 students and 4,000
researchers from more than 120 different countries.
Two positions for computational physicists/computer scientists are available
at the École Polytechnique Fédérale de Lausanne (Lausanne, Switzerland)
in the group of Prof. Nicola Marzari. The positions are supported by the Swiss
Platform for Advanced Scientific Computing (PASC) and are renewable yearly;
current funding is for 3 years each. If so desired, a possible working
location at the Paul Scherrer Institute (Villigen) in the newly created
Laboratory for Materials Simulations may be possible.
Two Postdoctoral Positions / Spectral Properties on Accelerated
Architectures (THEOS, EPFL)
Your mission :
The positions will contribute to the development of scientific software to
calculate spectral properties of materials on complex accelerated hardware
architectures, as deployed in existing HPC systems and in future pre- and
exascale machines. The positions will integrate existing implementations of
advanced density-functional formulations (Koopman's spectral functionals,
extended Hubbard functionals (U/V/J), maximally-localized Wannier
functions) with SIRIUS, a library for electronic structure calculations
developed at Swiss National Supercomputing Centre (CSCS) to provide support
to several density-functional theory codes on accelerated architectures.
Main duties and responsibilities include :
Outstanding candidates are sought with a strong interest in methodological and
software development, and with programming abilities in Fortran and/or C++ and
parallel computing, preferably with a background in
physics/chemistry/materials or engineering/computer science. A knowledge of
the CUDA programming model is a plus.
Close collaborations will take place with the Swiss Supercomputing Center
CSCS, and natural synergies will be present with the Swiss National Centre
MARVEL on Computational Design and Discovery of Novel Materials and the H2020
MaX Centre of Excellence on Materials Design at the eXascale.
Your profile :
A PhD in the physical sciences (physics, chemistry, or materials),
engineering, or computer science. Alternatively, a MSc with a proven track
record in these domains.
Basic knowledge of solid-state physics and density-functional theory is a
Essential Knowledge and Professional Experience:
Experience in numerical methods, code development and scientific
Good knowledge and experience in Fortran and/or especially C++
Strong organizational skills, including the ability to manage complex
projects involving multiple partners from academia in a highly
Passion for HPC computing and programming, and self-motivation for
Additional Knowledge and Professional Experience
Knowledge of basic parallel programming models (MPI, OpenMP)
Experience in electronic-structure methods and density-functional theory
is an advantage.
Knowledge of Python.
We offer :
The successful candidates will join the group of Nicola Marzari
(https:// theossrv1.epfl.ch/) at the École Polytechnique Fédérale de
Lausanne (EPFL), located in Switzerland on the shores of Lake Geneva and in
close proximity to the Swiss and French Alps. If so desired, a possible
working location at the Paul Scherrer Institute (Villigen) in the newly
created Laboratory for Materials Simulations may be possible.
This multidisciplinary group is at the forefront of development and
applications of materials simulations, and leads the pan-Swiss materials
consortium MARVEL (https:// nccr-marvel.ch), a 12-year federal initiative
created in 2014 whose aim is to accelerate materials' design and discovery.
The group is also leading the workpackage on convergence of HPC, high-
throughput computing and high-performance data analytics of the H2020 MaX
Centre of Excellence (https:// www. max-centre.eu). The group is actively
involved in several international projects, including the H2020 BIG-MAP,
MarketPlace, Intersect, OpenModel, DOME 4.0 and NEP/NFFA projects, the
swissuniversities P-5 “Materials Cloud” project, together with further
national, in- dustrial, and computational projects.
Outstanding computing facilities are available both on-site and at CSCS
Start date :
as soon as possible
Term of employment :
The contract is renewable every year (as required by EPFL) up to 4 years
upon mutual satisfaction and availability of funding; current funding is for 3
years per position. Gross salaries for a freshly minted Ph.D. start at 83'600
CHF/year (~76'500 EUR/year); social benefits (unemployment, pension) are
Candidates should submit 1) a full CV (ideally including BA/MSc
transcripts), 2) contact information for two to four references and 3) a
cover letter of intent. These documents should be emailed simultaneously to
firstname.lastname@example.org and email@example.com and firstname.lastname@example.org as a
single email with one PDF attachment, with the exact text “PASC spectral” in
the subject line. Shortlisted candidates will be contacted individually for
initial interviews, first via video conferencing.
For best consideration, applications should be submitted by Oct 31 2021 ;
the positions will remain open until filled.
Job Nb 2037