15 results
Develop and experimentally evaluate graybox tunneling algorithms for multi-objective combinatorial optimisation. Exploit variable interactions to traverse Pareto local optima, extend single-objective tunneling ideas, and study solution-level, iteration-level and concurrent-process parallelism. Build hybrid island-based search strategies and reusable…
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Two positions with Yingda Cheng and Daniel Appelo connect numerical analysis and scientific machine learning with fusion plasmas, quantum devices and high-performance computing. Appointments in Burnaby last two years, potentially three, with a January–September 2027 start and up to one undergraduate course annually. Salary is CAD 65,000–70,000 plus…
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Develop fast, scalable quantum error correction for fault-tolerant quantum computers. Research spans error-correction codes, algorithms, parallel processing, dedicated hardware, FPGA implementation and quantum-error simulation.
Investigate the performance of current and future supercomputers through modelling, simulation and monitoring. Research includes cross-layer optimisation, performance portability and AI-assisted efficiency improvements for scientific applications.
Develop numerical algorithms and software for scientific supercomputing. The research includes eigensolver methods for emerging high-performance computing environments.
Develop computing hardware, architectures or software for AI and high-performance scientific computation. Research can address model execution, compilers and specialised computational devices.
Build and operate shared machine-learning infrastructure for CERN experiments and researchers. The role connects high-performance computing, cloud technologies and AI platforms used in scientific work.
Develop GPU benchmarking and supporting computing infrastructure for high-energy physics. The work helps compare heterogeneous hardware used by the Worldwide LHC Computing Grid.
The RIKEN Center for Computational Science seeks technical scientists to develop programming environments for supercomputers, including accelerator-based systems and Fugaku NEXT. Work covers compilers, performance tools, mathematical and communication libraries, AI-assisted software development and application performance evaluation. Researchers collaborate…
Translate frontier machine-learning prototypes into scalable systems for drug discovery. The role optimises models such as diffusion networks, transformers and DNA-sequence models in JAX or PyTorch, improves distributed training and inference, and develops research libraries and evaluation tools.
Advance lattice quantum chromodynamics using leadership-class computing. Develop, port, debug and optimize scalable scientific applications, construct performance models for future architectures, and collaborate with ORNL researchers on large-scale computational physics. Applications are made on the employer’s recruitment portal; no closing date is stated.…
Research confidential computing and secure multi-tenancy for high-performance computing. The National Center for Computational Sciences seeks system-software architectures for secure enclaves on supercomputers, together with scalable identity and key management. Applications are made on the employer’s recruitment portal; no closing date is stated. Initial…
Research scalable storage and memory architectures at ORNL’s National Center for Computational Sciences. Projects include telemetry-driven optimisation, DDR and high-bandwidth memory trade-offs, I/O performance analysis and composable storage for scientific AI and edge-to-HPC workflows. The researcher collaborates with internal and external teams and…
We seek a Scientist I to build the computational backbone of a lab-in-the-loop platform that designs and validates synthetic enhancers for precision cell-type targeting in the brain. In this cycle, model-designed sequences are tested experimentally, and the results retrain the next round of models. You will contribute to an open-source codebase for…
The Discrete Event Simulation Research Team at RIKEN’s Center for Computational Science seeks researchers for data analysis and simulation of economic and social phenomena. The project combines artificial intelligence with Fugaku and GPU computing to understand, predict and control complex socioeconomic systems, supporting climate-change mitigation and a…
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