Deep Learning for Traffic Prediction and Analysis at Loughborough University
Job Description
Our entry requirements are listed using standard UK undergraduate degree classifications i.e. first-class honours, upper second-class honours and lower second-class honours.
Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in computer science, data science, mathematics, or a related field. The candidate should have strong analytical and programming skills. Previous experience with deep learning, multitask learning, agent-based systems, transport simulations would be advantageous. A relevant master’s degree and/or experience is desirable.
English language requirements
Applicants must meet the minimum English language requirements. Further details are available on the International website.
Fees and funding
UK fee: To be confirmed Full-time degree per annum
International fee: £27,500 Full-time degree per annum
2024-25 tuition fees are applicable to projects starting in October 2024, January 2025, April 2025 and July 2025.
Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Fees are reviewed annually and are likely to increase to take into account inflationary pressures.
The studentship is for three years and provides a tax-free stipend of £19,237 per annum (2024/25 rate) for the duration of the studentship plus university tuition fees.
How to apply
All applications must be made via the above ‘Apply’ button and must include a completed studentship application form (instead of a personal statement) and a two-page research proposal based on the project description describing how you would approach the project and what methods you would use. Under programme name, please select ‘Architecture, Building and Civil Engineering (Built Environment)’. Please quote reference number ABCE-HH2-24.
To avoid delays in processing your application, please ensure that you submit the minimum supporting documents including an up-to-date CV, but a personal statement is not required.
ABCE will use these selection criteria to make a decision on your application.
