University of Edinburgh, School of Mathematics

Position ID: 713-LEC3 [#22471, 7432]
Position Title: Lectureship/Readership in Statistics
Position Location: Edinburgh, City of EH9 3JZ, United Kingdom [map] sort by distance
Subject Area: Statistics
Application Deadline: 2023/06/14 11:59PMhelp popup finished (2023/05/17, finished 2023/12/16, listed until 2023/06/14)
Position Description:    

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

Lectureship/Readership in Statistics United Kingdom Be the First to Apply Job Info Job Identification 7432 Job Category Academic Posting Date 17/05/2023, 10:18 Apply Before 14/06/2023, 23:59 Job Schedule Full time Locations James Clerk Maxwell Building, Edinburgh, EH9 3FD, GB Health and Safety Requirements No key hazards identified for this post Criminal Record Check No criminal record check required Contract Type Open Ended

Job Description

UE08 - £44,414 - £52,841 Per Annum (dependent on experience) UE09 - £56,048 - £63,059 Per Annum (dependent on experience)

College of Science and Engineering / School of Mathematics

Open Ended (Permanent)

Full time, 35 hours per week

2 Positions Available

The Opportunity:

The School of Mathematics wishes to appoint a Lecturer in Statistics to start in September 2023 or another mutually agreeable date. Although flexible, we are especially interested in candidates with strong interests in the methodology of Statistical learning.

We are seeking candidates with a track record of high-quality research in applicable statistical methodology, preferably with a proven interest in statistical learning. The ideal candidate will be self starting, and interested in developing statistical methods targetting substantive problems in applied statistical learning . The post complements recent expansion in the school in statistics, statistical learning and machine learning, and preference will be giving to candidates who fit well with one or more of our existing strengths in statistical methods and statistical computing and/or applied medical, environmental and energy system statistics. As well as carrying out high-quality research, the successful candidate will contribute to the teaching of undergraduate and postgraduate courses, and to the development of the MAC-MIGS Centre for Doctoral Training and of our successful MSc programmes in Statistics and Operational Research.

The successful candidates will join the School’s Data & Decisions research group, which is active at the forefront of modern mathematical and computational problems related to optimization, operational research, spatial, Bayesian and computational statistics and ML, and applications in environmental science, medicine and energy, in particular. We host the world-leading open source optimization software HiGHS, the Bayesian spatial statistical software inlabru, and the widely used R generalized additive modelling package mgcv, as well as the Statistical and Operational Research Consultancy Units that provide bespoke consultancy and data analysis services, and the Centre for Statistics that unites data-driven researchers across the University of Edinburgh, Heriot-Watt University and associated institutions, including Biomathematics and Statistics Scotland.

A PhD in the Mathematical Sciences or a related area and some experience of relevant teaching at University level are essential, as well as being able to demonstrate independence, effective team working, good communication and interpersonal skills.

Very strong and experienced applicants may be appointed to a Readership, for which the salary is in the range £56,048 - £63,059 p.a.

Please ensure that your application includes an up-to-date CV, research statement and teaching statement, and that in addition, three references are sent to references@maths.ed.ac.uk by the closing date quoting Job Req 7432

Informal enquiries may be made to Professor Simon Wood (simon.wood@ed.ac.uk) or Professor Miguel Anjos (Miguel.F.Anjos@ed.ac.uk).

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.

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).

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.

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: Simon Wood
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