27 physics "MRC Laboratory of Molecular Biology" scholarships at Cranfield University

Actuator PHM exploiting multi-physics digital twin (DT) and machine learning (ML) PhD

the actuator. This involves understanding the physics of the motor, the load it is handling, and the role of the servo-controller in the system. The focus is on managing different fault scenarios efficiently

Advanced Aerospace Systems: Novel Electric Actuator for Aerospace Applications with BAE Systems PhD

ensure that all aspects of the design and integration process are captured including integration with cooling and thermal management system, physical integration and installation, selection of materials

Integrated Sensors Airframe Design PhD

Applicants should have a good first degree in mechanical/aerospace engineering or computing, maths or physics or any other relevant topic. An MSc or relevant work experience will be beneficial. Knowledge

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

Embarking on a pioneering journey, this project delves into enhancing real-time decision-making in evolving cyber-physical systems (eCPS), crucial in today's modern manufacturing landscape. Focused

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

is a technically challenging process due to the exponential number of variables that one has to account for, when making carbon footprint assessments for products and processes. The tools, methods

Combinatorial artificial intelligence for defence applications PhD

algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data.  This include 'supervised

System modelling for human machine (autonomous system) teaming in uncertain environments PhD

of researchers who are all working on various analytical and experimental projects within the Centre for Autonomous and Cyber-Physical Systems and the Centre for Robotics and Assembly. At a glance Application

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

to realise their full potential, from academic achievement to mental and physical wellbeing. We are committed to progressing the diversity and inclusion agenda, for example; gender diversity in Science

Developing environmentally sustainable & operationally competitive manufacturing organisations PhD

to realise their full potential, from academic achievement to mental and physical wellbeing. We are committed to progressing the diversity and inclusion agenda, for example; gender diversity in Science