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XR simulations using the Unity platform or Unreal Engine, use of 3D model building tools, such as Autodesk Rivot or BIM tools and hardware experience in setting up XR headsets and custom play-areas
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systems (ITS). In particular, the successful candidate will conduct cutting-edge research in: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design
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modeling in smart mobility systems Required Qualifications: The requirements for the applicants include: Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics
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Post-Doctoral Associate in the Center for Translational Medical Devices (Modeling) - Dr. Rafael Song
modeling, simulation with ABAQUS, ANSYS and COMSOL Multiphysics) are required. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research
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, the project will leverage a combination of recently collected in-situ observations from MACCESS, high-resolution satellite data, and numerical simulations. The core modeling tool will be the Regional Ocean
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XR simulations using the Unity platform or Unreal Engine, use of 3D model building tools, such as Autodesk Rivot or BIM tools and hardware experience in setting up XR headsets and custom play-areas
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the safety and robustness of human-robot interaction. The postdoc will work on projects focusing on one or more of the following: Learning-Based Control: Developing reinforcement learning, imitation learning
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, dynamics modeling and estimation, multi-agent collaboration algorithms, and inter-agent distributed introspection of agent behaviors to detect behavioral modifications (e.g., due to malfunctions and/or
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structural centrifuge testing and physical modeling. Advanced instrumentation and experimental simulation. Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering
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, cardiovascular, and neurologic disease. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical