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developing learning-based model predictive control algorithms in simulation. Experience in multi-agent robotic systems, drone swarms, or autonomous decision making. Experience in integrating prediction
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Doctoral Researcher in Simulation of Variable Speed Electric Machines Employer AALTO UNIVERSITY Location Finland (FI) Salary 3143 €/month Closing date 1 Oct 2026 View more categories View less
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, but may also be linked to related projects within data-driven product realisation, digital engineering, systems engineering, geometry assurance, automation, or model-based development. For Model
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Your Job To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying
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a project focused on implementing advanced models of soft magnetic materials in accurate simulation software. The developed laminated‑steel models will be evaluated using an experimental setup
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further information at https://endure.dtu.dk/ and https://cordis.europa.eu/project/id/101227649 . Responsibilities and qualifications Your overall purpose will be to develop, model, and validate a
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opportunity to work at the forefront of brain-inspired control and soft robotics. At DTU, you will develop novel control architectures that combine model-based methods, reinforcement learning, and
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different types of experimental data to establish reliable methods for identifying physically meaningful model parameters and assessing model accuracy under dynamic operating conditions. In a later stage
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Postdoc in Resilient and Equitable Mobility Systems Reference number REF 2026-0288 How do mobility systems respond when everyday travel is disrupted? How can we model who loses access, where, for how
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Australian National University | Canberra, Australian Capital Territory | Australia | about 23 hours ago
decision making. In collaboration with CRC research projects, objectives encompass: (1) developing a cross-scale water supply simulation model integrating existing process-based models and new machine