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accelerators Hardware–software co-design for AI and transformer-based models. Responsibilities Conduct cutting-edge research in parallel computing and AI accelerators Develop and lead externally funded projects
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Science. The research focus of our group is on parallel computing, supercomputing, and performance tuning and optimization of advanced applications. Our team currently consists of 10 scientific and 3 administrative
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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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. software and parallel computing is required. Skills in data processing and visualizing the results of quantum-chemical simulations are strongly desired. The candidates experienced in software
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for massively parallel computers. Experience with quantum many-body methods. Preferred Qualifications: A strong computational science background. Familiarity with coupled-cluster method. Understanding
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the Edinburgh Parallel Computing Centre), the Generative AI Lab, and the Centre for Technomoral Futures. The successful candidate will contribute to both theoretical analysis and computation experimentation (in
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in parallel with a program of invitations to collaborators, doctoral and post-doctoral students, special guests, etc. The latter brings additional funding to the Chair, as well as international
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and medium-scale computing environments (Linux, job schedulers, parallel computing). • Familiarity with data analysis, visualization, and handling large scientific datasets. • Ability to run, adapt
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4 Oct 2025 - 23:59 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to