11 physic uni jobs at Cranfield University

CFD-FEA Combined Thermal-Fluid-Mechanical Modelling for Defect Control in Additive Manufacturing MSc by Research

manufacturing, specifically focused on directed energy deposition process utilising metal wire as the primary feedstock. Within this exciting realm, through CFD-FEA combined thermal-fluid-mechanical modelling, we

Developing a Ground breaking Wire-Directed Energy Deposition (w-DED) Technology for Printing Ultra-Thin Walls, Intended for Application in High-Tech Sectors

manufacturing processes for producing them is metal additive manufacturing (AM), primarily utilizing powder bed processes. Wire-based Directed Energy Deposition (w-DED) is a pivotal AM process alongside

From top-down to bottom-up – enabling a new collaborative approach to agricultural abstraction management to protect river ecosystems

, Rest of world Reference numberSWEE0246 Entry requirements Applicants should have a first or second class UK honours degree, BSc or equivalent in environmental sciences or physical geography knowledge

Modelling of innovative optical designs for novel sensor systems

and invaluable operational support. Dstl is innovative, collaborative and impactful. Location of Study The student will be physically located at Cranfield Defence and Security (CDS) which is located

Radar Range and Doppler Resolution Techniques for Electronic Warfare

hostile scenarios Location of Study The student will be physically located at Cranfield University, in the Centre for Electronic Warfare Information and Cyber at Cranfield Defence and Security (CDS). CDS

Electronic Attack and Protection of Ground and Air Platforms

of Study The student will be physically located at Cranfield University, in the Centre for Electronic Warfare Information and Cyber at Cranfield Defence and Security (CDS). CDS provide unique educational

Experimental and Numerical Study of Parameters Affecting the Wake Dynamics of a Simplified Car: Effects of Roughness - Turbulence - Yaw Angle

pollutants released into the atmosphere in the wake of passenger cars are still poorly understood. An enhanced understanding of these physical processes involved in the dispersion of pollutants is essential

An experimental and computational study for predictive assessment of material failure

the baseline mechanical/physical material properties and joining technologies at the micro- and macro-scale of High Hard Steel. To develop a criteria of failure for the materials selected. This will involve

High Energy Propagation and Energy Transfer in poor weather

date is 1st October 2023. The PhD student will be physically located at Cranfield University, in the Centre for Electronic Warfare Information and Cyber at Cranfield Defence and Security (CDS). CDS

Domain knowledge Informed Data Analytics Tools for Predictive Maintenance of High-Value Critical Assets

developed Physics-informed Neural Network (PINN) technique will be first explored, tailored, and extended into the PdM context of high-value critical assets. It is expected that combining the domain knowledge