Postdoctoral Research Fellow

Faculty of Environment, Science and Economy

The above full time post funded by Innovate UK is available immediately, on a fixed term basis, until 31/3/2025 in the Faculty.

The post

The Faculty wishes to recruit a Postdoctoral Research Fellow to participate in the AI for Multi-Modal Model Generation in Transport project. The successful applicant will develop and experiment with optimisation and machine learning models to improve the process of creating transportation models.

Responsibilities:

• Development of optimisation and machine learning models to improve the process of creating transportation models.
• Test and experiment the developed models on benchmark and real-world transportation examples
• 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

To find out more about what we offer our staff, please visit: Benefits | Prospective Staff | University of Exeter

The University of Exeter

We are a member of the prestigious Russell Group of research-intensive universities and in the top 200 universities in the world (Times Higher Education World University Rankings 2024 and QS World University Ranking 2024). We combine world-class teaching with world-class research, achieving a Gold rating in the Teaching Excellence Framework Award 2023, underpinned by Gold ratings for Student Experience and Student Outcomes.

Our Equality, Diversity and Inclusion Commitment

We are committed to ensuring reasonable adjustments are available for interviews and workplaces.

Further information

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

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