21 Earth Sciences PhD scholarships at Cranfield University

Driving Sustainability: Myopic Mean Field Games and MARL for Incentive Mechanisms in Manufacturing Supply Chains PhD

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

Advancing Sustainable Manufacturing through AI-supported Design for Dynamic Management PhD

Industry 5.0 goals. Expect impactful insights into advanced technology integration and human expertise, driving sustainability through improved system performance. Students benefit from collaboration

Circular Chains in the Fashion Industry PhD

world-leading or internationally excellent in its quality. Every year Cranfield graduates the highest number of postgraduates in engineering and technology in the UK (Source: Higher Education Statistics

Early Alzheimer's Disease Diagnosis Using Deep Learning Retinal Image Analysis PhD

This research opportunity aims to hire PhD students as a self-funded program. By analysing retinal images with deep learning technology, early detection of Alzheimer’s disease may be possible. By

Investigate sub surface damage and its impact on structural dynamic behaviour PhD

and management. Research Excellence Framework 2014 (REF) has recognised 81% of Cranfield’s research as world leading or internationally excellent in its quality. Every year Cranfield graduates

Multi-body Hypersonic Aerodynamics PhD

University of Oxford. At a glance Application deadline12 Jun 2024 Award type(s)PhD Start date30 Sep 2024 Duration of award4 years EligibilityUK, Rest of world Reference numberSATM491 Entry requirements

Design of net zero strategies and best practices for manufacturing and service organisations (research and experimentation in complex scenarios with competing priorities) PhD

EligibilityUK, EU, Rest of world Reference numberSATM490 Entry requirements Applicants should have a first or second class UK honours degree or equivalent in engineering or management or related discipline and

Combinatorial artificial intelligence for defence applications PhD

deadline22 May 2024 Award type(s)PhD Start date30 Sep 2024 Duration of award4 years EligibilityUK, Rest of world Reference numberSATM475 Entry requirements Applicants must have a B.Sc. in engineering or a

Generative AI for the Next Generation of Manufacturing Automation Systems PhD

of world Reference numberSATM459 Entry requirements We are inviting applicants with a minimum of a 2:1 first degree in a relevant discipline/subject area such as engineering, manufacturing, computing, data

Enhancing Cybersecurity through Automated Real-Time Threat Response PhD

Join our exciting PhD program in Security Automation and be at the forefront of changing the way we protect ourselves from cyber threats. In today's ever-evolving digital world, we urgently need