University of Edinburgh, School of Mathematics

Position ID: 713-PDRA8 [#15876, 051928]
Position Title: TRAIN@Ed Research Fellow (Marie Sklodowska-Curie) in Linking Whole Energy System Models to the Real World
Position Location: Edinburgh, City of EH9 3JZ, United Kingdom [map]
Application Deadline: 2020/05/11help popup (posted 2020/04/08, listed until 2020/05/11)
Position Description:    

*** the list date or deadline for this position has passed. ***

The MSCA COFUND supported TRAIN@ED Fellowship Scheme provides an opportunity for talented researchers from outside the UK to join the University of Edinburgh to begin their post-PhD career working at the interface between academia and industry. The TRAIN@ED Fellowship scheme provides cohort based professional development so researchers are well equipped to pursue future careers in academia or industry.

The TRAIN@ED Fellowship scheme is also supported by the Data-Driven Innovation Programme. Data-driven innovation is at the heart of the University of Edinburgh’s commitment to promoting research and innovation in the Edinburgh and South-East Scotland City Region.

This postdoctoral position is funded until May 2023 and is a joint collaborative project with the energy modelling team in the Scottish Government.

The overall objective of this 3-year project is to develop a stochastic version of the Scottish TIMES long term energy system optimization model. This will include consideration of the uncertainty specification for the future scenario background, mapping this to a discrete scenario tree, performing the necessary computation, and embedding this within decision support processes; the project builds on previous Edinburgh work across all of these areas. There is flexibility of emphasis between these tasks depending on the interests of the Fellow. The project is based in Edinburgh (Scotland/UK).

Core scientific requirements: The project is suitable for a researcher with strong technical skills in at least one of the following areas, and knowledge of one or more other areas would be beneficial.

• Whole energy systems modelling, in an environment such as TIMES • Decomposition methods for efficient solution of mathematical program-type optimization problems • Statistical uncertainty quantification, design of experiment and expert elicitation

Please see the job description for other essential criteria related to this post. If you are interested please contact Chris Dent ( as soon as possible – he can provide additional information and discuss the direction of research which individuals might take.

Core eligibility requirements (all are strict without exception):

(a) At the date May/2020 the applicant must not have resided or carried out their main work activity (including studying) in the UK for more than 12 months in the past 3 years (not counting holidays or short stays).

(b) Applicants must, at the date of the application deadline (May 2020), be in possession of a doctoral degree or have at least four years full-time equivalent research experience.

(c) At application deadline, have no more than ten years’ experience since defending their PhD (career breaks for parental leave, sickness absence or army service are excluded)

(d) A (5 page) research proposal must be submitted – we will work with the applicant on its elaboration.

e) Applicants must submit an Ethical Issues Form. TRAIN@Ed complies with Horizon 2020 ethical principles, UK legislation, UK Research Council policy and/or the policy of the host department. The Fellowship Scheme as a whole is funded until May 2023. Start date is 1st June 2020 if possible, or as soon as possible thereafter. We are aware of the difficulties stemming from the CoVid-19 situation, and therefore it is expected that you will work from home to the extent required by University of Edinburgh and/or UK government policy.

Benefits of the position:

Grade 7 salary scale £33,797 - £40,322 You will receive payments into a pension scheme and other benefits of employment. Each year, you will be able to use funds up to £2500 to support attendance at conferences and meetings and £6000 to support other research costs.

There are additional benefits for Fellows which will depend on circumstances:

• Relocation: If the fellow has to relocate, they are eligible to apply for reimbursement of expenses up to £5000 • Family Allowance: A monthly allowance of £384.61 is payable if the fellow has dependents who are defined as such: A family allowance will be paid in case the researcher has family obligations. In this context, family is defined as persons linked to the researcher: (i) by marriage (ii) by a relationship with equivalent status to a marriage recognised by the legislation of the country or region where this relationship was formalised (iii) as dependent children who are actually being maintained by the researcher.

Contact person: Chris Dent Email: Webpage:

Application Procedure

All applicants should apply online by clicking the apply link at the bottom of this page. The application process is quick and easy to follow, and you will receive email confirmation of safe receipt of your application. The online system allows you to submit a CV and other attachments. A Supervisor Statement committing a potential academic supervisor is required for this position. This is to ensure that you will have adequate supervision throughout your fellowship. In addition, your collaborative partner can be invited to provide a second supervisor, to guide your research and ensure your support when at their location.

When applying it is essential that you submit:

• Detailed CV with publication list; • 5-page project proposal of a proposed research programme, (a template is available on our website); • Ethical issues form (a template is available on our website); • A supporting statement or covering letter

For more information about the application and evaluation process please visit the TRAIN@Ed project web site

You will be notified by email at various stages: Whether your proposal is eligible to be evaluated. Whether you will be interviewed. Feedback from the evaluators will be provided. The closing date is 11 May 2020 .

This employer is not accepting applications for this position through Mathjobs.Org. Please apply at
Contact: Dr Chris Dent
Postal Mail:
School of Mathematics
James Clerk Maxwell Building
King's Buildings
University of Edinburgh
Mayfield Road
Web Page:

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