10 complex-systems-physics scholarships at Cranfield University

Nanobubbles for the volume and yield stress reduction of organic-laden radioactive sludges - PhD

for overseas travel and access to world leading experimental facilities (PhDs under this scheme are for a duration of four years full time). Nuclear energy has underpinned the UKs transition to becoming a net

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

, these systems serve as complex functional approximators trained over an input-output data set. ‘Second Wave AI’ is the term used to describe the current glut of 'machine learning' style intelligence, where

The hybridity of polluted freshwaters - PhD

-hydrological systems. Assigning anthropogenic activities as a key factor in polluted freshwater ignores pollution as a manifestation of complex socio-hydrological effect. The research will employ ethnographic

Developing Ontologies for Digital Engineering and Manufacturing PhD

transformation. As the amount of data increases, it is necessary to store, standardise, process, and make data accessible in a way that gets beyond the quirks of different teams and technology. This requires

Understanding pathogen reduction mechanism(s) in vermifilter ‘Tiger’ toilets - PhD

An exciting PhD studentship opportunity fully-funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership (DTP). This project would suit students with a

Future Aircraft Communications and Data Management for Flight Dynamics Predications PhD

A fully funded PhD studentship in the Centre for Autonomous and Cyber-Physical Systems at Cranfield University. This is a great opportunity to work closely with Thales UK, who are a leading

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

complex operational environments while ensuring safety and efficiency. The Project Focus/Aim is to develop and implement an advanced control system for electric actuators, ensuring their safe, efficient

Causal Machine Learning in Aerospace PhD

, development of dynamic physical models that allow counterfactual reasoning of highly complex systems such as plane engines, automated robotics that allow fully autonomous exploration and modelling of unknown

Failure models for transmission gears health monitoring PhD

of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing