University of Edinburgh, School of Mathematics

Position ID: 713-PDRA [#24297, 9627]
Position Title: Postdoctoral Research Associate
Position Type: Postdoctoral
Position Location: Edinburgh, City of EH9 3JZ, United Kingdom [map] sort by distance
Application Deadline: 2024/02/28 11:59PMhelp popup (posted 2024/02/08, listed until 2024/02/28)
Position Description:    

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

UE07 £37,099 to £44,263 per annum (A revised salary range for this grade of £39,347 to £46,974 is planned to take effect from Spring 2024)

School of Mathematics & Centre for Investing Innovation

Full time: 35 hours per week

Fixed term contract for 24 months

We are looking for a Post-Doctoral Research Associate on Statistical Learning & Financial AI for assisting with the execution of the co-pilot projects funded by abrdn via the University of Edinburgh, Centre of Investing Innovation

The Opportunity:

Conduct original research to create a statistical framework that integrates with a large financial language model. Endow the language model with statistical intelligence, facilitate online learning, and explain empirical findings to a human.

This post is full-time (35 hours per week).

Your skills and attributes for success:

PhD in Statistics & Data Science (or near completion) and/or relevant experience on applications in Financial AI. Programming in R and Python. proven experience of work with industry collaborators, particularly related to finance sectors. Applicants should upload a CV and a brief research statement (max two pages) when applying for the post online. In addition, they should arrange for at least two letters of reference to be sent direct to quoting the reference number. For informal enquiries please contact Dr Miguel de Carvalho

As a valued member of our team you can expect:

A competitive salary of £37,099 - £44,263 per annum. An exciting, positive, creative, challenging and rewarding place to work. To be part of a diverse and vibrant international community. Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits. Championing equality, diversity and inclusion

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.

The School of Mathematics is dedicated to valuing and celebrating diversity and ensuring equality of opportunity for all its members. Therefore, we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups.

Prior to any employment commencing with the University 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.

Key dates to note

The closing date for applications is 28 February 2024.

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.

Interviews will be held within 2 weeks from closing date.

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

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Contact: Dr Miguel de Carvalho
Email: email address
Postal Mail:
School of Mathematics
James Clerk Maxwell Building
King's Buildings
University of Edinburgh
Mayfield Road
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