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. Familiarity with uncertainty modelling, stochastic programming, robust optimization, or real-time decision-making. Interest in quantum computing or quantum-inspired optimization methods. Good programming skills
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in quantum computing and algorithms for Life Science applications. Are you as excited about quantum technology and its future applications as we are? We are seeking a doctoral researcher to join the
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fully determine the torsional response using conventional methods alone. Unknown external forces and torsional response can instead be estimated using methods such as convex optimization or Kalman
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sustainability-driven optimization of hybrid multi-material structures. The work focuses on bringing environmental and circularity goals into structural design alongside strength, stiffness, and cost
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dynamos and connect them to exoplanet discovery and space‑weather environments. You will work in Aalto’s High‑Performance Computing Lab within the PEAS (Population of Exoplanets around Active Suns
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‑weather environments. You will work in Aalto’s High‑Performance Computing Lab within the PEAS (Population of Exoplanets around Active Suns) consortium alongside leading teams in stellar astrophysics
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, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI, and the Aalto
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groups. This may draw, among other areas, on research in computational history and work with large-scale textual, bibliographic, and cultural heritage data using AI, high-performance computing, and
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with transistor-level circuit design and simulation What We Offer We provide GPU computing for machine learning on Aalto's Triton high-performance computing cluster, alongside industry-standard
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successful candidates will develop fundamental theory and practical algorithms that move reinforcement learning closer to real-world systems. Position 1 will focus on trajectory-centric optimization