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requires not only quantification of respective changes in materials but also development of novel tools for design and optimisation of new engineering solutions. This will be achieved by combining
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This vacancy has been extended until 08/07/2025 About the Role We are seeking an enthusiastic and ambitious senior biostatistical researcher to join our interdisciplinary team designing, developing
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fully funded, three-year PhD studentship starting in October 2025, focused on one of the following research objectives: To develop biomimetic designs that enhance energy harvesting and bioelectronic
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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to date focus on just one layer, understanding what keeps AF going is challenging. This PhD project aims to bridge that gap by combining advanced machine learning tools with a new experimental protocol
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University of Warwick and Schlumberger Cambridge Research Limited (SCR) Qualification: Doctor of Philosophy in Engineering (PhD) Eligibility: UK Students* Award value: Home fees and tax-free stipend
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Supervisory Team: Dr. Jie Yuan, Dr. David Toal PhD Supervisor: Jie Yuan Project description: Robust design is crucial to ensure the durability and reliability of aerospace components throughout
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This PhD project will focus on developing, evaluating, and demonstrating a framework of novel hybrid prognostics solution for selected system use case (e.g. clogging filter, linear actuator, lithium
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team, the PhD student will support the development of discrete choice experiments in two countries, and agent-based modelling, as we plan to model how doctors make job choices among alternative hospitals
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PhD Studentship – New approaches for studying the structure of high-temperature molten materials Transition: (October 2025 start) Supervisor 1: Emma Barney Supervisor 2: Oliver Alderman (ISIS