CSE / School of Mathematics.

Open Ended Contract - Permanent; Full Time - 35 Hours Per Week.

2 posts.

The School of Mathematics wishes to appoint two Lecturers in Machine Learning to start in September 2023 or another mutually agreeable date. Applicants with significant experience and a suitably strong record of achievement may be appointed as Readers. (Lectureships/Readerships are the UK equivalent of Assistant/Associate Professorships.)

The Opportunity:

We are seeking candidates with a track record of high-quality research in mathematical and statistical aspects of machine learning (ML) and its applications. We welcome applicants with expertise in any of a broad range of topics including: mathematical foundations of ML, interface of optimization and ML, Bayesian neural networks, inference and inverse problems, integration of ML with other forms of mathematical modelling and algorithms, and applications of ML to science, engineering, health and social sciences. As well as carrying out high-quality research, the successful candidates 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, Operational Research and Computational Applied Mathematics. The role will also include the supervision of student projects, involvement in assessment of students, helping to develop courses, connect with industry where this is appropriate, and teaching-related administration. The School takes career development seriously, and will provide appropriately tailored mentoring in both research and teaching.

The successful candidates will join one or both of the School’s research groupings in Data & Decisions and in Applied & Computational Mathematics. We are looking for ambitious researchers to enhance or complement the strengths of these.

Applications close on Monday 10th April 2023 at 5pm GMT. 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 6844.

Informal enquiries may be made to Professor Miguel Anjos (Miguel.F.Anjos@ed.ac.uk) or Professor Jacques Vanneste (J.Vanneste@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).

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.

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 browser's local time zone.

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