|Funding for:||UK Students, EU Students|
|Funding amount:||£15,009 based on 2019/2020 stipend|
|Placed On:||5th June 2019|
|Closes:||15th July 2019|
Funding for: UK students and EU students
Funding amount: £15,009 based on 2019/2020 stipend
The Department of Computer Science at Durham University is pleased to offer a fully funded PhD studentship for a collaborative project with industry, jointly sponsored by European Regional Development Funding, Durham University and Geospatial Research Ltd.
This studentship will start from October 2019 and the successful applicant will receive a scholarship for three years (subject to satisfactory progression). The studentship includes:
The successful applicant will be based in the Department of Computer Science of Durham University, and the Geospatial Research premises in Durham supporting the company research.
Geospatial Research Ltd deploys GNSS (Global Navigation Satellite System) sensor networks in geologically sensitive areas. The data collected have the form of time series of 3D vectors representing distances between pairs of sensors. In a typical processing pipeline, the data are smoothed and events are detected as discontinuities in the time series.
The aims of the project are:
For entry to the PhD you will be required to have achieved a 2:1 Bachelor's degree in an appropriate subject, from a recognised university (or equivalent). Strong programming ability in a high-level language and a highly competent mathematical background are essential. Prior experience in machine learning is beneficial although not essential.
International students would also need to provide evidence of English language competency, such as a minimum overall IELTS 6.5 score of which no element of less than 6.0 (or equivalent).
How to apply:
If you meet the eligibility criteria, please make an application via the university applications page at: https://www.dur.ac.uk/postgraduate/apply
(In your application, specify project title: Machine Learning for GNSS sensor networks, departmental contact: Ioannis Ivrissimtzis)
Decisions will be made on applicants as they are received. The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
Type / Role: