Sort by
Refine Your Search
-
Country
-
Employer
-
Field
-
IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 25 days ago
for acceleration of parallel applications in the High Performance Computing (HPC) environment, · work in the international team focused on development and optimization of parallel codes under national and
-
-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training
-
Reconfigurable/Spatial computing architectures, such as FPGAs, CGRAs, and AI accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs
-
scientific computing. You are proficient in several languages (Python, C/C++, or Fortran), with extensive knowledge in AI/ML and parallel programming (GPU, multi-threading, etc.). You have strong software
-
applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
-
35 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
-
Research Framework Programme? Not funded by a EU programme Reference Number 2025/CP/203 Is the Job related to staff position within a Research Infrastructure? No Offer Description Grant/funding reference
-
conferences to disseminate research findings, and mentoring junior team members in preparation for their presentations. In parallel, the principal investigator (PI) will provide mentorship aimed at supporting
-
distributed computing for EMT simulations. • Experience with software development in Python, C++, or other programming languages. • Familiarity with GPU acceleration of numerical solvers, parallel sparse