48 electrical-engineering "Mathematics" positions at University of Sheffield

Autonomous Scalable Knowledge Extraction and Decision Making for Complex Systems and Dynamic Environments

which can also be adapted to students’ interests and experience. Prospective candidates should have an MSc, MMath or MEng in mathematics, statistics, physics, aerospace engineering, signal processing

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

Ultrafast dynamics of Photoactive Metal Complexes for antibacterial applications

Ultrafast dynamics of Photoactive Metal Complexes for antibacterial applications School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Prof J Weinstein

Saving energy by an optimised design of entrance pipe flow

to huge economic savings and improved air quality. Current transition models however are often of limited use to engineering design of these systems because the inlet of the pipeline, which plays a key role

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

PhD Studentship in: Understanding risks from emerging contaminants (PFAS) to surface water resources

PhD Studentship in: Understanding risks from emerging contaminants (PFAS) to surface water resources Department of Civil and Structural Engineering PhD Research Project Directly Funded Students

SELF-FUNDED 3.5-YEAR PHD – Automatic segmentation of femur using deep learning combined with phantomless calibration for rapid personalised fracture risk predictions in clinical applications

Engineering, Bioengineering, General Engineering, Applied Mathematics or Physics (at least a UK 2:1 honours degree, or its international equivalent). Knowledge, skills Strong programming skills in Python

New, nanoscale insights into perovskite solar cells for clean energy solutions

New, nanoscale insights into perovskite solar cells for clean energy solutions School of Mathematical and Physical Sciences PhD Research Project Directly Funded UK Students Dr Alex Ramadan

Optimisation of impinging jets for reduction of deposit formation

current designs that will bring benefits of reduced deposit formation. Heat exchangers and aero engine parts will require increased maintenance intervals and work with greater efficiency while minimising

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

. Applicants should have (or about to receive) a degree in engineering, physics or applied mathematics that is at least a UK 2:1 honours grade or its international equivalents. Previous experience with coding