Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Munich
- Delft University of Technology (TU Delft)
- Durham University
- Forschungszentrum Jülich
- KU LEUVEN
- AALTO UNIVERSITY
- Constructor Knowledge Labs gGmbH
- Grenoble INP - Institute of Engineering
- Inria, the French national research institute for the digital sciences
- Karolinska Institutet, doctoral positions
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Norwegian Institute of Bioeconomy Research
- Saarland University
- SciLifeLab
- Technical University Of Denmark
- The University of Manchester
- University of Antwerp
- University of Copenhagen
- 9 more »
- « less
-
Field
-
scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing predictive performance, generalisation
-
machine learning, computer vision, robotics, efficient inference or embodied AI, prioritising practical, reliable systems. Durham offers strong facilities: Bede HPC (128 GPU), GPU cluster (90+ GPU), LiDAR
-
compute, for use in labs, factories, farms, homes and inspection settings. Durham offers strong facilities: Bede HPC (128 GPU), GPU cluster (90+ GPU), LiDAR, RADAR, drones, cameras, embedded devices and
-
18 Sep 2026 Job Information Organisation/Company KU LEUVEN Research Field Computer science » Informatics Engineering » Biomedical engineering Engineering » Computer engineering Biological sciences
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Laboratory of Photonics, Electronics, and Quantum
-
, IEEE IV and RadarConf. For your research, you will have access to extensive computing resources at TU Delft, ranging from personal workstations and shared GPU servers to the Delft AI Cluster and the
-
Research Council (NWO), which investigates foundation models for high tech industry applications. Your results are expected to be published at leading international venues in machine learning, computer
-
candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
-
architectures and embedded platforms (ARM Cortex-M, NPU, FPGA, embedded GPU), e.g., via academic courses and/or project courses Research experience (e.g., through a Master thesis work or research internships) is
-
23 Sep 2026 Job Information Organisation/Company Constructor Knowledge Labs gGmbH Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application