38 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" PhD positions at University of Nottingham
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differing aspect of this topic and could be reliant on both the interest of the student and supervisory team, plus what is found through the process of the research. Further information: Applicants should
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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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investigation) and basic quantitative methods (e.g., monitoring) Ability to collaborate and engage to different stakeholders Strong analytical skills and ability to handle data confidently Funding support After a
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Closing date: 27 February 2026 For further information please email Professor Chris Gerada (University of Nottingham) and Dan Walton (MTC). Facilities The MTC is an independent Research and Technology
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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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to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
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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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orla.williams@nottingham.ac.uk for more information Funding support After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a competitive process (this will cover
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support population-level prevention strategies. Further information: Applicants should have either a minimum 2.1 undergraduate degree in a relevant area (public health, epidemiology, economics, statistics