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. Specific Requirements Previous experience in chip design, hardware implementation of complex dynamics and learning algorithms, as well as knowledge of memristors, will be highly valued
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Research theme: Control Engineering, Robotics How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will
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some of the following skills: Localization and sensor fusion: Solid understanding of localization techniques and sensor integration. Experience with SLAM algorithms (vision-, acoustic-, or inertial-based
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Design in the Design Computation and Digital Engineering (DeCoDE) laboratory at MIT under the guidance of Dr. Faez Ahmed (https://decode.mit.edu ). Will be responsible for researching, designing, and
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simulations on the Aurora supercomputer, using AMReX (https://amrex-codes.github.io/amrex/ ) and the lattice Boltzmann method (LBM). The candidate will develop flow/geometry-aware refinement strategies that go
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be given to candidates with experience in topics that are relevant to data science, most notably mathematical and algorithmic foundation, software and data engineering, data mining, machine learning
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to develop algorithms and methodologies for mapping irrigation patterns using satellite imagery. Investigate methods for detecting the timing and frequency of irrigation events from time-series remote sensing
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Number R250195 Posting Link https://www.ubjobs.buffalo.edu/postings/60280 Employer Research Foundation Position Type RF Clerical/Technical Job Type Varies Appointment Term Salary Grade N.11 Posting Detail
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such an environment and using this information in control algorithms to ensure robust navigation. This project is funded by the Hauts-de-France Region. Mission The recruited person ensures research work. She will be in
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop human-centred RL algorithms to shape