21 Physics positions at University of Sheffield in uk

Use of surface textures to improve tactile perception

Details Many human interactions with objects and surfaces rely on perception of the tactile interface. This could be when gripping objects with hands, or controlling walking movements through the physical

Simulating Materials for Fusion Energy: Exploring Dislocation Mobility in the Presence of Abundant Point Defects

this process of irradiation damage will change the properties of the alloys and perhaps limit their useful lives. In this harsh environment, the forces experienced by materials can cause them to slowly deform in

Machine Learning Digital Twins of Spintronic Neuromorphic Devices

; these are machine learning models trained to predict the output of the physical system but can be differentiated for training. This project will develop the use of machine learning methods, particularly neural

Links between Functional Neurological Disorder / Functional Seizures and abnormalities of the immune system

healthy controls. We will analyse associations of: a) mental health status, b) life-time traumatic stress load, c) life-style (diet, nutrient intake, physical exercise, smoking), d) immunological markers

Understanding the biomechanics of vibro-tactile perception

with age or is linked to particular medical conditions. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant Discipline. View

Agent-Based Modelling of Future Clean Energy Systems

require a 1st or 2:1 degree in Engineering, Physics, Mathematics or similar discipline with strong mathematical skills. You will join the Brown Group within the Department of Chemical and Biological

Consideration of Environmental Features for Microgrid Dispatch Optimisation

less have investigated optimisation of environmental objectives with detailed modelling of bidding decisions. The candidate will require a 1st or 2:1 degree in Engineering, Physics, Mathematics

Energy-efficient AI Using Modular Deep Reservoir Computing

physics, he looks at how unconventional computing systems can be used to create energy efficient hardware for AI applications. He has particular interests in unconventional machine learning algorithms

New stone masonry arch bridges

speed up the process of masonry bridge construction. The project will also develop advanced digital design tools, targeting digital manufacturing approaches such as CNC carving where complex shapes

A biochemo-mechano multi-scale computational model to predict bone adaptation over space and time

are triggered by biomechanical (e.g. mechanical loading or disuse) and biochemical (e.g. diseases or pharmacological treatments) stimulation. Therefore, the bone adaptation process is very complex as it involves