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, fabrication, rapid prototyping). Experience with embedded systems, motor control, and sensor integration. Proficiency in ROS/ROS2, Gazebo, NVIDIA Isaac Sim, or Unity for simulation and deployment. What You
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optimization Integrate real-time sensor data and telemetry into closed-loop control frameworks Test and validate control algorithms through simulation, hardware-in-the-loop testing, and/or physical testbeds
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Vision-Language-Action models and their fine-tuning, evaluation, or extension. Multimodal sensor integration (force, tactile, vision) into policy learning pipelines. GPU-parallel simulation, large
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, driving or traffic simulation, behavior-informed digital twins, machine or deep learning, or computer vision Excellent written, oral, visual, and interpersonal communication skills, including the
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, machine learning, and statistical modeling methods for multimodal manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and
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applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering , Institute of Circuits and
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categories View less categories Academic Discipline Computer Science , Engineering & Technology , Chemical Engineering Job Type Academic Posts , Postdocs Contract Type Permanent Hours Full Time Apply now
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., IEC 61508 or ISO 13849) Experience with digital twins or simulation-based testing of automation sequences Experience with computer vision for inspection, sample identification, or quality control
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., IEC 61508 or ISO 13849) Experience with digital twins or simulation-based testing of automation sequences Experience with computer vision for inspection, sample identification, or quality control
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multi-sensor analytics—to improve safety for pedestrians, bicyclists, and micromobility users. The scholar will play a central role in USDOT-funded, multi-year R-SEAT (Rural Safe Efficient Advanced