英国埃克塞特大学博士后—人工智能用于交通运输领域

英国埃克塞特大学博士后—人工智能用于交通运输领域

埃克塞特大学（University of Exeter），又名埃克斯特大学，是一所位于英国西南部的顶尖公立综合性研究型大学，起源于十九世纪中叶，于1955年受皇家特许正式创建大学。现为英国罗素大学集团、英联邦大学协会和GW4联盟等组织成员。

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.

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