Postdoctoral Research Fellow

This new full time post is available from 1 August 2023 on a fixed term basis until 31 July 2025.

The post

The Faculty wishes to recruit a Postdoctoral Research Fellow to participate in the Beyond Smart Junctions project. This fixed term Innovate UK funded post is available from the 1/8/2024 and will end on 31/7/2025. The successful applicant will develop and experiment with optimisation of junctions in transport models to improve the efficient movement of people using a range of models of transport.

Responsibilities

• Development of optimisation approaches (e.g. metaheuristics, hyper-heuristics) to create junction designs and operational profiles (e.g. signal timings) that improve the throughput of people and reduce emissions.
• Work with the industrial partners in the UK and overseas, test and experiment with the developed models on benchmark and real-world traffic junction designs
• Publish high-quality research articles in top-tier journals and conferences, and present research findings at national and international conferences.

About you

The successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events.

Applicants will possess a relevant PhD or equivalent qualification/experience in a related field of study. The successful applicant will be a nationally recognised authority in optimisation or machine learning and possess sufficient specialist knowledge in the discipline to develop research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required. Applicants will be able to work effectively as a member of a team, develop optimisation and machine learning code, understand transportation modelling approaches, read and digest literature on the topic and write academic papers.

Essential requirements:

• PhD or equivalent qualification/experience in Computer Science, Artificial Intelligence, Statistics, Optimisation or related field with a strong focus on machine learning, optimisation or related areas
• An excellent track record of publishing/presenting papers in top-tier conferences or journals in the related areas
• Excellent communication, collaboration and leadership skills, with a proven ability to work effectively in interdisciplinary teams
• Excellent mathematical and programming skills Python, Java, C/C++/C#, or other relevant programming languages
• Ability to understand transportation modelling approaches, read and digest literature on the topic and write academic papers.

Please ensure you read the Job Description and Person Specification for full details of this role.

Further information

For further information please contact Professor Ed Keedwell, e-mail E.C.Keedwell@exeter.ac.uk or telephone (01392) 724014.

The closing date for completed applications is 15/7/2024.  Interviews are expected to take place as soon as possible after this date.

Advert information