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Field
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You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
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environments.DutiesThe PhD student will carry out research in the area of cooperative autonomous systems. The successful candidate will explore topics such as: Multi-agent reinforcement learning Distributed control
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Biology, Developmental Biology, Genetics or Molecular Biology Experience with cell culture and wet lab techniques, including DNA/RNA/protein analyses Good command of the English language Strong teamwork
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: identifying genomic targets for sustainable biocontrol". Understanding genomic and epigenomic adaptations that enable successful invasions is crucial to bio-sustainable control measures aimed at protecting food
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control in full technical cells – humidity, temperature, pressure drops, voltage drops Supervision of university students Participation in project meetings Coordination with internal and external partners
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-metallic clusters that combine plasmonic and catalytic metals These clusters will be deposited with high control over size and composition using cluster beam deposition on morphologically engineered TiO2
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into advanced turbofan configurations. This doctorate will research highly innovative technologies that carefully control the temperature of key engine components. The Oxford Thermofluids Institute
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(subproject B4 - Multiobjective optimization of traffic signals for multimodal traffic): This project aims to develop a cooperative and adaptive traffic signal control approach that addresses the needs
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environment with cutting-edge laboratories and facilities to support transformative research across mechanical, materials and robotics engineering; optimisation, systems and control; and sustainable chemical
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Your Job: As part of a collaborative research project funded by the Federal Ministry of Research, Technology and Space (BMFTR), and conducted in cooperation with academic and industrial partners