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combine ultrafast pump–push–probe experiments with sub-10 fs resolution, finite-element simulations, and quantum models extending the Tavis–Cummings Hamiltonian. The aim is to demonstrate coherent control
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. The position will involve developing computational models and simulation tools, analyzing experimental and operational data, formulating and solving optimization problems, evaluating technical and economic
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models and diffusion-based policies for navigation planning, trajectory generation and action prediction. Apply reinforcement learning and/or imitation learning methods to improve navigation performance
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prioritise RD as a mechanism for ecosystem resilience. The project will use Agent-Based Policy Modelling (ABPM) to simulate how actors such as land managers, farmers, local authorities, and conservation
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optimisation techniques, machine-learning methods and data-driven modelling. Familiarity with robotics and autonomous-system simulation environments such as ROS/ROS2, Gazebo, AirSim, Unity, or equivalent
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design rules to understand their chemistry and physics. You will combine coarse-grained and atomistic simulations with surrogate models and experimental insights (with Dr. Baumgartner) to understand
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. Development cycle including circuit design, simulation, modeling, layout, verification and measurements. Develop scripts and algorithms for analog IC design Prepare research papers/reports/technology
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-9cb07f2b398e JOB SUMMARY: Responsible for the daily operations of the Simulation labs, providing technical skills, instruction, and evaluation to support the use of simulation. Coordinate and facilitate
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics (https://www.aalto.fi/en/department-of-electrical-engineering
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physical oceanography and/or environmental fluid mechanics Expertise in ocean circulation modeling Ability to independently design and generate simulations using the Regional Oceanic Modeling System (ROMS