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destination. Job Summary The Data Science Institute (DSI) Tech staff is responsible for the design, operation, and security of all computing infrastructure within the Data Science Institute, including
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, animal health, biotechnology, computing, and the life sciences. The successful candidate will have access to core capabilities in high-performance computing, genomics and multi-omics, advanced
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remote work arrangement. The role may involve extended time working at a computer and engagement with high-performance computing systems. Application Documents Resume/CV (required) Cover Letter describing
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-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty quantification, model-order reduction, or multi-fidelity methods. The primary fields of
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(with particular reference to Artificial Intelligence, Computer Vision and High-Performance Computing – HPC) to be delivered as part of degree and PhD programmes in the field of information
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Infrastructure-as-Code (Terraform or CloudFormation). Knowledge of networking principles, object storage, and GCP BigQuery. Working knowledge of High Performance Computing (SLURM). Willing to learn new tools
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, computer architecture, and heterogeneous computing platforms. The engineer will develop high‑performance applications in C++, Python, and MATLAB, contribute to real‑time embedded solutions, and support
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: We are seeking an accomplished scholar and thought leader in computer science and artificial intelligence to join our faculty at the rank of Assistant or Associate Professor, commensurate with
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) consortium alongside leading teams in stellar astrophysics, exoplanets, and high-performance computing. Your network and team Home unit: Aalto University, Department of Computer Science (Otaniemi campus
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of the position will focus on the development of computational modeling approaches for cellular signaling pathways and multi-cellular communication using high-performance computing techniques and the