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high-performance computing ML inference or serving systems (vLLM, SGLang, PyTorch internals, or similar) Interactive theorem proving (Rocq, Lean, HOL, Isabelle, or similar) or other formal methods
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trade-offs between predictive performance, computational efficiency and scalability, using high-performance and cloud computing environments. Depending on the agreed research direction, you may also
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Job Description Do you want to advance high-performance computing? Join the Embedded Systems Engineering section at DTU Compute and develop research on programming models, compilers, operating
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, microelectronics, and artificial intelligence to develop high-performance memcapacitors and utilize them as artificial synapses for capacitive neuromorphic computing, enabling ultra-low-energy AI SCIENTIFIC
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enter the lab, how they are stored, documented, and harmonized, and how the team's analyses run on the high-performance computing resources. You will work closely with the lab's Senior Scientist, who
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calculations will be performed using ETH Zurich’s high-performance computing infrastructure. In addition to research, the doctoral candidate will contribute to general laboratory activities and will have
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based on magnetics-on-silicon devices for high-performance AI computing loads. The research will include: · Design of novel power converter topologies (DC/DC) for high performance computing loads
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analytics and the use of AI is the booster for research productivity and new research services for VTT’s customers. In addition to applying AI methods for materials research, we work on High Performance
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have used version control. Experience with high-performance computing, GPU programming, C/C++, or numerical methods for wave propagation, fracture, or solid mechanics is an advantage You are curious
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do we build and operate a high-performance computing infrastructure for cutting-edge research that simultaneously meets the highest environmental and economic standards? Using a prospective life