Course summary
Engineering and product design are driven by the need for constant improvement. You’ll learn from – and will be inspired by – the engineers who are making these industry improvements happen. We foster strong links with industry to support collaborative research and to provide routes to knowledge transfer and commercialisation of the outcomes of our research. Areas of study As a research student, you're associated with one or more research groups in the Department of Engineering and Design:
- Dynamics, Control and Vehicle Research Group
- Industrial Informatics and Signal Processing Research Group
- Sensor Technology Research Centre
- Thermo-Fluid Mechanics Research Centre
- Creative Technology Research Group.
Modules
Students admitted to research courses also take a research skills development module in their 1st 2 terms, which is specifically designed for the School of Engineering and Informatics. Recent thesis titles include: Adaptive object segmentation and tracking; an experimental study of windage due to rotating and static bolts in an enclosed rotor-stator system; applications of the electric potential sensor for healthcare and assistive technologies; behaviour of elastohydrodynamic films subjected to oscillatory motion; design of gas turbine axial compressors for fuel flexibility; economically stable public security and emergency network exploiting a broadband communications satellite; high-resolution electric field imaging using ultralow capacitance probes; investigation into non-linear dynamics of rotorfloating ring-bearing systems in automotive turbochargers; investigations of advanced injection and combustion strategies on DI diesel engine performance and emissions; optimal control of a flywheel-based automotive kinetic energy recovery system; pattern recognition employing spatially variant unconstrained correlation filters; neurofuzzy controller-based full vehicle nonlinear active suspension systems; numerical simulations of rotating stall in axial flow compressors; side information exploitation, quality control and low complexity implementation for distributed video coding; structural uncertainty identification using mode shape information; research and professional/industry links.
Assessment method
Research project
Entry requirements
You’re normally expected to have an upper second-class (2.1) undergraduate honours degree or above. Your qualification should be in engineering or physics. You may also be considered for the degree if you can show evidence of suitable qualifications or work experience.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Please click on the course URL to see up-to-date fee information.
Provider information
University of Sussex
Sussex House
Brighton
BN1 9RH