Postdoctoral Researcher in Theoretical Simulation
hace 3 días
Postdoctoral Researchers (MaX CoE project)
Research Area or Group:
The Theory and Simulation Group at The Computational Chemistry List has a strong focus on the development of electronic structure methods and their application in atomistic simulations of molecules and materials.
These include (but are not restricted to) SIESTA and its TranSIESTA functionality.SIESTA is a multi-purpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic and electronic properties of systems with up to several thousands of atoms.
TranSIESTA is an extension of SIESTA that enables the study of electronic transport phenomena in nanoscale devices.The project will be conducted in close collaboration with other SIESTA developers and in coordination with the developers of the other MaX flagship codes.
The work at The Computational Chemistry List focuses on using advanced programming tools to turn SIESTA into a lighthouse exascale-oriented application with enhanced scientific capabilities.
Main Tasks and Responsibilities:
Design, implementation and testing of new methods and algorithms so that SIESTA can harness the compute power of the latest generation of (pre-)exascale architectures and tackle novel scientific challenges.
Contribution to the design, implementation and testing of AiiDA-based exascale workflows that employ SIESTA, thus providing an additional avenue to leverage and saturate exascale performance.
Writing of well-structured, performant, well-documented code.Review of code written by colleagues.Preparation of scientific reports, journal articles and software documentation.
Contribution to applications to HPC centres in order to secure the resources needed for architecture-dependent code development, optimised deployment and benchmarking.
Contribution to SIESTA training events.Contribution to other activities in the group.
Requirements:
Education:
PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines
Knowledge:
Density Functional Theory-based methods
Professional Experience:
Scientific programming in Fortran, in MPI/OpenMP-parallelised codes. Knowledge of other languages and of GPU offloading will be valued but it is not essential.
Familiarity with revision control software.
High Performance Computing.
Experience with High Throughput Calculations will be valued but it is not essential.
Previous experience with SIESTA will be a plus but it is not essential.
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