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software engineering, human factors usability, and design/visualization in developing applications to optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor
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novel algorithms for efficient, high-fidelity 3D scene reconstruction and representation, including applications in embodied environments where an agent must continuously perceive, update, and reason
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validation of machine learning and artificial intelligence algorithms for biomarker discovery and treatment selection in gynecologic cancer. The incumbent performs a variety of moderately complex technical
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to the development of privacy-preserving indoor localization methods using multi-modal deep learning, the design of wearable multi-sensor navigation devices, and the creation of datasets for indoor trajectory
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research results (algorithmic developments, data mining techniques, etc.) to feasible deployment • Integrate the developed techniques with modern ICT/IoT and other digitalization systems • Cooperation
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algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc. The positions will be suitable for candidates with