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    Job details

Offer: Postdoctoral Research Fellow:

Job description:

Job location: Exeter
income: The starting income will be from £41,732 on Grade F, depending on qualifications and practice.
Hours: Full Time
Contract Type: Fixed-Term/Contract

Published in: 3rd May 2024
Closing date: 15th May 2024
Reference: P91073

 

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 prosperous 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 prosperous 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.
candidates will possess a significant PhD or equivalent qualification/practice in a related field of study. The prosperous applicant will be a nationally recognised authority in optimisation or machine learning and possess sufficient specialist expertise in the discipline to develop research programmes and methodologies. The prosperous applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required. candidates 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 General Requirements:
   » PhD or equivalent qualification/practice 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 abilities expertise, with a proven capability to work effectively in interdisciplinary teams
   » Excellent mathematical and programming expertise Python, Java, C/C++/C#, or other significant programming languages
   » capability 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 function
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 practice and Student results.
Our Equality, Diversity and Inclusion Commitment
We are committed to ensuring reasonable adjustments are available for interviews and workplaces.
more information
For more information Contact Us by Professor Ed Keedwell, e-mail E.C.Keedwell@exeter.ac.uk or telephone (01392) 724014

Skills:

Job Category:  [ View All Jobs ]
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Employment type:
Salary: Unspecified
Degree: Unspecified
Experience (year): Unspecified
Job Location: Exeter, Devon England
Address: Devon
Company Type Employer
Post Date: 05/03/2024 / Viewed 3 times
Contact Information
Company:
Contact Email: E.C.Keedwell@exeter.ac.uk


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