195 applied-physics uni jobs at University of Sheffield

Collective Decisions in Animals and Robots

. Candidate Requirements -Masters degree in a science or engineering field, especially computer science, mathematics, physics, or neuroscience (2(i) / Merit or higher) -An interest in animal behaviour

Embodied Decisions in Animal and Robot Brains

-Masters degree in a science or engineering field, especially computer science, mathematics, physics, or neuroscience (2(i) / Merit or higher) -An interest in animal behaviour / computational neuroscience

Nearfield Interactions of Vitrified Intermediate Level Waste; Radionuclide Transport at the Glass-Canister-Backfill Interface

funded PhD studentship, funded by the Engineering and Physical Sciences Research Council and Sellafield Ltd. The funding covers tuition fees and provides an annual tax-free stipend for 4 years, commencing

What do effect sizes mean in real terms? Benchmarking effect sizes in behavioural research

/) at the University of Sheffield. The aim of the project is to use a technique called ‘benchmarking’ to identify how effect sizes of varying magnitudes correspond to real world behaviour and outcomes

Remote patient monitoring using wearable devices and AI

diverse range of physiological and behavioural parameters, including heart rate, sleep patterns, physical activity, GPS location, and phone/app use. They represent the most extensive observational studies

Optimisation of impinging jets for reduction of deposit formation

should have (or about to receive) a degree in Mechanical, Aerospace, Civil, or Chemical Engineering, Physics, or Applied Mathematics with at least a UK 2:1 honours grade or its international equivalents

A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies

surface tension. 3. Develop engineering guidelines for process optimisation and scale-up with an open-access solvent supported by new packing data from this project. The output of the project will inform

Intelligent Algorithms for Sustainability

well as a new robust formulation of the process synthesis problem. The PhD student will have a chance to i) work with advanced process and fluid modelling; ii) understand, use, modify and extend advanced

Digital modelling of boiling heat transfer in water-cooled nuclear reactors

. You will work in close collaboration with a project funded by an Engineering and Physical Sciences Research Council (EPSRC) award and with the close support of Rolls-Royce, Westinghouse and the UK

Knowledge-guided and Lifelong AI for Data Learning and Decision-making in Agroecosystem

available has led to growing attention in scientific disciplines. However, using purely data-driven ML approaches to modelling physical processes has many limitations such as low interpretability, out