英國埃克塞特大學2024年招聘博士后（人工智能用于交通運輸領域）
�？巳卮髮W（University of Exeter），又名�？怂固卮髮W，是一所位于英國西南部的頂尖公立綜合性研究型大學，起源于十九世紀中葉，于1955年受皇家特許正式創(chuàng)建大學�，F(xiàn)為英國羅素大學集團、英聯(lián)邦大學協(xié)會和GW4聯(lián)盟等組織成員。
Postdoctoral Research Fellow
University of Exeter
Job details
Job reference
P91073
Date posted
03/05/2024
Application closing date
19/05/2024
Location
Exeter
Salary
The starting salary will be from £ 41,732 up to £ 51,283 on Grade F, depending on qualifications and experience
Package
Generous holiday allowances, flexible working, pension scheme and relocation package (if applicable).
Contractual hours
Blank
Basis
Blank
Job category/type
Research
Attachments
P91073 JD.pdf
Postdoctoral Research Fellow
Job description
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.
What we can offer you
Freedom (and the support) to pursue your intellectual interests and to work creatively across disciplines to produce internationally exciting research;
Support teams that understand the University wide research and teaching goals and partner with our academics accordingly
An Innovation, Impact and Business directorate that works closely with our academics providing specialist support for external engagement and development
Our Exeter Academic initiative supporting high performing academics to achieve their potential and develop their career
A multitude of staff benefits including sector leading benefits around maternity, adoption and shared parental leave (up to 26 weeks full pay), Paternity leave (up to 6 weeks full pay), and a Fertility Treatment Policy
A beautiful campus set in the heart of stunning Devon
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 world-leading research impact has grown more than any other Russell Group university in recent years, and we are home to some of the world's most influential researchers, seeking to answer some of the most fundamental issues facing humankind today. More than 99 percent of our research is of international quality and 47 percent is world-leading (2021 Research Excellence Framework).
We encourage proactive engagement with industry, business and community partners to enhance the impact of research and education and improve the employability of our students. Read about our world leading research – Green Futures and how we are transforming education for a changing world. We are located in a beautiful part of the country and Exeter (a fast growing tech hub) is one of only a few UK cities to have been designated as a UNESCO Creative City
Our Equality, Diversity and Inclusion Commitment
We are committed to ensuring reasonable adjustments are available for interviews and workplaces.
Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented within our working community.
With over 30,000 students and 7,000 staff from 150 different countries we offer a diverse and engaging environment where our diversity is celebrated and valued as a major strength. We are committed to creating an inclusive culture where all members of our community are supported to thrive; where diverse voices are heard through our engagement with evidence-based charter frameworks for gender (Athena SWAN and Project Juno for Physics), race equality (Race Equality Charter Mark), LGBTQ+ inclusion (Stonewall Diversity Champion) and as a Disability Confident employer.
We are proud signatories of the Armed Forces Covenant and welcome applications from service people.
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 19/5/2024. Interviews are expected to take place as soon as possible after this date.
