Postdoc: Data-Centric, Energy-Efficient HPC Scientist

Kungliga Tekniska högskolan; Stockholms kommun; On-site; SEK 420,000 - 540,000; Full time

Job summary

KTH Royal Institute of Technology in Stockholm invites applications for a postdoctoral researcher role focused on high-performance computing. You will work within the HPC software science unit at KCSC to advance algorithms for GROMACS, Neko, and VeloxChem, emphasizing energy-aware design and cross-code collaboration.

The position targets innovative algorithmic advances, with opportunities to publish in top venues and impact flagship codes relevant to molecular dynamics, CFD, and quantum

Qualifications

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

Responsibilities

• Pioneer innovative, technology-aware algorithmic techniques targeting flagship codes in HPC.
• Design mixed-precision formulations for key kernels to leverage low-precision hardware without sacrificing fidelity.
• Develop data-centric optimization and GPU-centric communication strategies for post-exascale systems.
• Publish research in high-profile venues and contribute to upstream flagship codebases.

Skills

Performance modeling

Heterogeneous architectures

Molecular dynamics

Computational fluid dynamics

Quantum chemistry

Large-scale software

Education

Doctoral degree

Job description

KTH Royal Institute of Technology in Stockholm invites applications for a postdoctoral researcher role focused on high-performance computing. You will work within the HPC software science unit at KCSC to advance algorithms for GROMACS, Neko, and VeloxChem, emphasizing energy-aware design and cross-code collaboration.

The position targets innovative algorithmic advances, with opportunities to publish in top venues and impact flagship codes relevant to molecular dynamics, CFD, and quantum