Optimisation surface characterisation at University of York on FindAPhD.com

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities

Prof J A Robinson Applications accepted all year round Self-Funded PhD Students Only

York United Kingdom Electrical Engineering Electronic Engineering Computer Science Engineering

About the Project

Many projects in Engineering and Computer Science involve global multivariate optimisation. Classical methods include genetic algorithms, simulated annealing and particle filters. One way to think about global optimization is as density estimation, where Markov chain Monte Carlo methods attempt to learn the properties of an optimisation surface as if it were a probability distribution. This project is about doing that surface characterisation in a new way. The idea is to begin local ascent algorithms from multiple start points and then use the information about distance and directions travelled in each case to estimate maxima density. From this, we would make principled choices about how many starts to attempt and stopping criteria for a high probability of finding the global maximum.

Entry requirements:

Candidates should have (or expect to obtain) a minimum of a UK upper second class honours degree (2.1) or equivalent in Electronic and Electrical Engineering, Physics, Computer Science, Mathematics, Music Technology or a closely related subject.

How to apply:

Applicants should apply via the University’s online application system at https://www.york.ac.uk/study/postgraduate-research/apply/. Please read the application guidance first so that you understand the various steps in the application process.

Funding Notes

This is a self-funded project and you will need to have sufficient funds in place (eg from scholarships, personal funds and/or other sources) to cover the tuition fees and living expenses for the duration of the research degree programme. Please check the School of Physics, Engineering and Technology website https://www.york.ac.uk/physics-engineering-technology/study/funding/ for details about funding opportunities at York.

Where will I study?

University of York

A prestigious Russell Group university with a global reputation for inspirational and life-changing research

We’ve won a FindAMasters and FindAPhD Postgrad Award!

As a previous winner of a Postgrad Award, our university community has been recognised for their excellence in, and dedication to, postgraduate education. Studying with us means you’ll be part of a supportive environment that has been celebrated for its achievements and positive impact on our postgraduate students.

Find out more