45 data "https:" "https:" "https:" "https:" "Dr" "UCL" PhD positions at Newcastle University
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duration: 4 years Sponsor: Newcastle University (NU Futures Fund) Supervisors: Dr Sarra Ryan, Dr Thomas Nicholls , Dr Robbie Bain Eligibility criteria: A 2:1 honours degree, or international equivalent, in
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-culture studies to evaluate mechanotransductive signalling. The resulting data will inform mathematical models linking material mechanics to biological responses, enabling the sustainable design of next
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Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Application Closing Date 18th February 2026 Sponsor EPSRC Supervisors Dr Mathew Barraclough , Prof Anthony O’Neill , Dr Simon Lowes Eligibility
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interface. Number of awards: 1 Start date: September 2026 Award duration: 4 Years Sponsor: Newcastle University Supervisors: Dr Hannah Stewart Eligibility criteria You must have, or expect to gain, a minimum
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: October 2026 Award duration: 4 Years Sponsor: School of Engineering, Newcastle University Supervisors: Dr Xu Deng Eligibility criteria The award is available to UK and international applicants. You should
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computer simulations by developing fundamentally innovative and advanced protection strategies. To enhance the reliability and safety of low-voltage networks with a high penetration of power-electronic
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, please see www.ncl.ac.uk/postgraduate/fees-funding/search-funding/?code=GPSEAP26 Contact details For questions about the position, please contact Dr Jemima Repo (Jemima.Repo@newcastle.ac.uk
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, and/or data analysis, to address topics related to one of: Understanding depth-related plasticity in the physiology and behaviour of mesophotic reef fish. Identifying depth-related changes in
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October 2026 Award Duration 4 Years Application Closing Date 31st January 2026 Sponsor EPSRC , Eli Lilly Pharmaceuticals Supervisors Dr Hannah Stewart , Professor Mike Waring Eligibility Criteria We
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their suitability for real-time emergency decision-making. This project addresses this challenge by combining physics-based modelling with data driven surrogate approaches. The first stage of the project will involve