Postdoc in HPC: Mixed-Precision & Data-Centric Algorithms

KTH Royal Institute of Technology; Stockholms kommun; On-site; SEK 420,000 - 520,000; Full time

Job summary

KTH Royal Institute of Technology invites applications for a postdoctoral fellow in High-Performance Computing within the scientific software unit at KCSC. The role focuses on pioneering technology-aware algorithms for flagship HPC codes, with emphasis on energy efficiency and modern architectures.

The position supports collaboration across Sweden’s research ecosystem and upstream codebases. Ideal candidates have a doctoral degree within the last three years, experience with heterogeneous

Qualifications

• PhD or equivalent degree obtained within the last three years before the application deadline.
• Experience with performance modeling and optimization for heterogeneous architectures.
• Experience developing code for molecular dynamics, CFD, or quantum chemistry.
• Experience working on large-scale scientific software projects and collaboration.
• Awareness of diversity and equal opportunity issues with focus on gender equality.

Responsibilities

• Pioneer algorithmic techniques for HPC codes (GROMACS, Neko, VeloxChem).
• Design and implement mixed-precision formulations for key kernels.
• Develop data-centric optimization and GPU-centric communication strategies.
• Publish research findings in high-profile international venues and contribute to flagship codebases.

Skills

Performance modeling

Heterogeneous architectures

Large-scale scientific software

Collaboration

Education

Doctoral degree

Tools

GROMACS

Neko

VeloxChem

Job description

KTH Royal Institute of Technology invites applications for a postdoctoral fellow in High-Performance Computing within the scientific software unit at KCSC. The role focuses on pioneering technology-aware algorithms for flagship HPC codes, with emphasis on energy efficiency and modern architectures.

The position supports collaboration across Sweden’s research ecosystem and upstream codebases. Ideal candidates have a doctoral degree within the last three years, experience with heterogeneous