University of Edinburgh, School of Mathematics

Position ID:

713-PDRA8 [#22097, 6566]

Position Title:

Postdoctoral Research Associate in Operational Research and Optimisation

Position Type:

Postdoctoral

Position Location:

Edinburgh, City of EH9 3JZ, United Kingdom of Great Britain and Northern Ireland

Subject Area:

Operational Research and Optimisation

Salary Range:

£35,333 - £42,155

Appl Deadline:

2023/03/06 11:59PM help popup

finished (2023/02/13, finished 2023/09/09, listed until 2023/03/06)

Position Description:

*** this position has been closed. ***

UE07: £35,333.00 - £42,155.00 Per Annum.

CSE / School of Mathematics.

Fixed Term Contract - 12-month position; Full Time - 35 Hours Per Week.

Applications are invited for a 12-month Postdoctoral Research Associate position in Operations Research and Optimisation to address technologies for the future of electric public transport via optimisation algorithms for vehicle and driver assignment.

This position can start as soon as Apr 1, 2023 (or on a mutually agreed date). The project is funded by an EPSRC-UoE Impact Acceleration Account (IAA) with the industrial partner Ember (https://www.ember.to).

The Opportunity:

The post-holder will conduct research on the combined bus and driver scheduling, critically leading the development of models and algorithms for the task (with the research team). This is a complex problem that needs to account for, among other things, battery charging and driving time regulations. The successful applicant will work closely with the company, especially with their Head of Engineering, spending part of their time at Ember’s office in central Edinburgh.

Your skills and attributes for success:

Candidates should have a PhD (or exceptionally be nearing its completion) in Operational Research or a related field. Preference will be given to candidates with documented expertise in the relevant discipline.

An ideal candidate will have a documented expertise and research record in integer programming, and ideally in logistics and/or scheduling. The applicant will demonstrate excellent programming skills (C++ or another similar object-oriented programming language) and will have high expertise in optimisation solvers (CPLEX, Gurobi, or similar).

Collaborative and communication skills. Prior experience in interdisciplinary research and/or in providing efficient solutions to problems arising from practical/industrial applications will be an advantage.

Please apply online and submit a CV and a brief research statement. In addition, please arrange for two referees to send their letters of recommendation to references@maths.ed.ac.uk by no later than 6th March 2023

As a valued member of our team you can expect:

An exciting, positive, creative, challenging and rewarding place to work. We give you support, nurture your talent and reward success. You will benefit from a competitive reward package and a wide range of staff benefits, which includes a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family friendly initiatives, flexible working and much more. Access our staff benefits page for further information and use our reward calculator to find out the total value of pay and benefits provided.

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.

Interviews will be held on 16-17 March 2023 with interview invitations sent no later than 10 Mar, and an offer will be made shortly afterwards.

If invited for interview you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab).

The University is able to sponsor the employment of international workers in this role.  If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa.

About Us As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally. About the Team The School of Mathematics is one of the world’s leading mathematical sciences departments, home to internationally excellent researchers and to an innovative educational environment for both undergraduates and postgraduates. Our location in the beautiful and historic capital of Scotland puts us in the centre of a vibrant community of academics, cultural institutions, industry partners and research institutes.

As a School we value both the breadth and depth of our mathematical research. We have over seventy permanent members of academic staff and over twenty research fellows and research associates, who come from across the world and together cover a broad range of research topics in pure and applied mathematics, operational research and statistics. Our Graduate School has over eighty research students and over one hundred MSc students, and our postgraduate provision has gone from strength to strength with the recent introduction of Doctoral Training Centres in Analysis and its Applications, and in Data Science. We have close links with the School of Informatics and are actively involved in current data science developments, particularly as one of the 5 UK-wide partners in the Alan Turing Institute.

The School is passionate about delivering a world-leading educational environment for its students and is constantly exploring new ideas in mathematical education in order to provide a stimulating learning environment. Quantitative skills have never been more in demand in the world, and our students graduate with strong skills in critical thinking, independent learning and communication. Within 6 months of graduating, 93% of our students are in full-time employment or study. In 2010 the Teaching Programme review "welcomed the excellent quality of education" provided by the School.

The School of Mathematics is dedicated to valuing and celebrating diversity, and ensuring equality of opportunity for all staff, students, and visitors. We are committed to creating a community which is inclusive and respectful of all our staff and students, and their lived experiences.

Further information about the School, our research and our teaching is available at http://www.maths.ed.ac.uk

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Contact: Goncalo Dos Reis

Email: email address

Postal Mail:

: School of Mathematics
James Clerk Maxwell Building
King's Buildings
University of Edinburgh
Mayfield Road
Edinburgh
EH9 3JZ

Web Page: www.maths.ed.ac.uk