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machine learning research software, preferably using Python and PyTorch. An interest in foundation models, self supervised learning, multimodal learning, and 3D perception. An affinity for translating
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on multimodal perception (vision–language models), probabilistic state estimation and 3D mapping/SLAM, and graph-based representations (scene/knowledge graphs). The work is funded by a Finland-US joint project in
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simulation, psychophysical testing, and speech perception assessments. The Postdoctoral Research Associate will contribute to computational model development, software development, experimental data collection
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, visiting researchers, master's students, etc.) Research Context Recent advances in mobile robotics have been driven by remarkable progress in perception, deep learning, and control. However, current robotic
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Job description Next generation automotive imaging radars provide increasingly rich 3D information, opening the door to more advanced scene understanding and perception tasks such as 3D object
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conventional perception pipelines towards AI systems that can observe, remember, anticipate, and act. The project will examine questions around multimodal representation learning, temporal modelling, predictive
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bring-up, debugging, and validation Integration of sensors, microcontrollers, FPGAs, SoCs, and embedded processors Embedded programming in C/C++ Real-time signal processing and embedded perception, hardware
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and the automation of commercial vehicles and unmanned aerial platforms, focusing on environment-perception techniques (e.g., multi-spectral cameras, laser- and radar-based sensors, odometry, and
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estimate the reliability of its own perception and reasoning, then use that information to adjust how it processes a task. For example, a straightforward scene may be handled by a lightweight model, while an
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such constrained environments. This project seeks to address these limitations by developing a novel robotic perception framework that enables autonomous navigation for retinal microsurgery. The methods developed