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components based on performance, reliability, and cost, and validating designs through simulation and testing. Experience in advanced BMS development, control strategies, and system integration is an advantage
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identification and population monitoring Contribute to automated approaches for tracking long-term population trends in wildlife Collaborate with colleagues on ongoing modelling and simulation work across the
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to strengthen DTU’s research within solvent-based carbon capture by developing experimental and modelling insights into solvent CO2 interactions and process performance. You will work closely with colleagues in
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on this project, you will: Design and Model : Develop novel concepts for integrating photonic systems (e.g., laser-based, integrated optic components) with advanced microwave scattering/diagnostic
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opportunity to join the ERC-funded project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment These are 1–year positions from 1 May 2026 or as soon possible. Job
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identification and population monitoring Contribute to automated approaches for tracking long-term population trends in wildlife Collaborate with colleagues on ongoing modelling and simulation work across the
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. The candidate is hence expected to have most of the following qualifications: Expert knowledge in the control of robots Experience in simulation of robotic systems Experience in design and development of robotic
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models already exist in the literature, these models are typically driven by motion captured from skin-mounted markers, which introduce errors from soft-tissue artefact. By integrating ultrasound with MRI