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models/flow matching, and Gaussian processes for realistic load, generation and voltage time series. You will embed physical constraints into generation: power-flow consistency (Kirchhoff's laws) as soft
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Job related to staff position within a Research Infrastructure? No Offer Description Neural reconstruction pipelines (e.g. Gaussian Splatting) and 3D sensing technologies such as LiDAR and
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communication, sensing and power. The role also includes validating these methods through simulations and physical robot experiments. The development of uncertainty aware methods, such as Gaussian processes with
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related to staff position within a Research Infrastructure? No Offer Description · Literature search for materials or processes of interest for energy applications (e.g. photovoltaics, HER, ORR and CO₂RR
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Gaussian processes with learning capabilities is essential, including data association and other Bayesian methods. You will join a collaborative research environment at the University of Sheffield, working
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area of Gaussian Process based Simultaneous Localisation and Mapping (SLAM) and recent advances in non-parametric, 3D environment modelling. We will assess the utility of these tools for map-building
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. Certificates/Credentials/Licenses Computer Skills Academic and research software relevant to job duties (Linux operating system, Gaussian/ORCA, AMBER/OpenMM, coding skills in Python). Supervisory
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. For admission and curricular evaluation purposes, proven skills in programming, preferably Python and/or C++; computer vision; computer graphics; real-time 3D rendering; 3D Gaussian Splatting, Mip-Splatting, LOD
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on Artificial Neural Networks and Gaussian Process modelling, to accelerate processing optimisation. Consolidate experimental, techno‑economic, and sustainability data into robust technical evidence packages
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, Bayesian inference, model calibration, and Markov Chain Monte Carlo methods, uncertainty quantification, statistical modelling, and Gaussian processes, machine learning for time series, sequence-to-sequence