57 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" PhD positions at University of Nottingham
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data-driven methods to develop an inverse design framework for manufacturing systems. Together, we will advance the capability to design manufacturing systems that embed reliability, resilience
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delivering sustained research excellence and creating potential for future external funding opportunities. Please contact Dr. Brian Kiraly, Brian.Kiraly@nottingham.ac.uk for further information if you are
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technologies and offers opportunities for collaboration with leading academic and industrial partners. Supervisory Team You will work with Dr Pearl Agyakwa, Dr Kangkana Baishya and Dr Paul Evans who work across
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that deliver healthier indoor environments, lower carbon emissions, and long-term building performance. By integrating Passive House and EnerPHit principles with real building data, the research will support the
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global manufacturers. For details, visit the MTC website . For further information on this PhD position please contact Dr Sara Wang (Sara.Wang@nottingham.ac.uk ) Closing Date: 27th February 2026. Proposed
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MEng degree in Electrical and Electronics Engineering or Aerospace Engineering. To apply or for further information, please contact Dr Sharmila Sumsurooah Sharmila.Sumsurooah@nottingham.ac.uk Funding
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theory, robust and optimal control, and physics-informed modelling, this research aims to bridge the gap between data-driven learning and dependable real-world autonomy. Aim You will have the opportunity
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techniques for feedstock and high value products characterization. 1st or a 2:1 in a Chemical Engineering, Mechanical Engineering, Materials Engineering, Chemistry, Physics Please contact Dr Orla Williams
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focus on understanding how enzymes behave when multiple competing compounds are present and how this behaviour can be used to improve biocatalytic process design. Benefitting from the supervision of Dr
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, active power pulsations and magnetics optimisation. You will work with Dr. Tabish Mir and Dr. Alan Watson at University of Nottingham’s Power Electronics and Machines Centre, which is a purpose-built £18M