Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Technical University of Munich
- Durham University
- Forschungszentrum Jülich
- SciLifeLab
- AALTO UNIVERSITY
- CNRS
- ETH Zürich
- Grenoble INP - Institute of Engineering
- Inria, the French national research institute for the digital sciences
- KU LEUVEN
- Karolinska Institutet, doctoral positions
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Saarland University
- Technical University Of Denmark
- The University of Manchester
- University of Amsterdam (UvA)
- University of Antwerp
- University of Copenhagen
- University of Innsbruck
- VIB
- 11 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
-
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
-
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
-
, or GPU programming is an asset LanguagesFRENCHLevelGood LanguagesENGLISHLevelGood Research FieldEngineering » Electronic engineering Additional Information Selection process Applications must be sent
-
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
-
-related discipline. 2) Strong programming ability in optimisation or machine learning (e.g., Python/Matlab/C++; PyTorch/TensorFlow). Experience in signal processing/wireless or SDR/GPU prototyping is a plus
-
selection criteria Good oral and written presentation skills in Norwegian, or another scandinavian language Experience with the CUDA programming model for general-purpose GPUs Experience with the OpenCL
-
written presentation skills in Norwegian, or another scandinavian language Experience with the CUDA programming model for general-purpose GPUs Experience with the OpenCL programming model Experience with
-
computing and GPU infrastructure for the development and evaluation of LLM-, VLM-, and agentic AI solutions Research across the entire automotive software development lifecycle, from requirements and software