Lectureship/Readership in Applied & Computational Mathematics – University of Edinburgh
We are seeking candidates with a track record of high-quality research in applied mathematics, mathematical modelling and/or computational mathematics. Links to industry or commerce and/or experience of multidisciplinary research are desirable. 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 programme in Computational Applied Mathematics.
The Applied and Computational Mathematics research theme within the School combines expertise in continuum and statistical mechanics, stochastic methods, numerical analysis and machine learning to develop new techniques for applications such as data analytics, molecular dynamics, geophysical and astrophysical fluids, and material sciences.
We are looking for first class researchers to enhance or complement those strengths and have a keen interest in applying mathematics to address pressing societal or scientific challenges. 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.
A PhD in Mathematics 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.
Salary Scale: £42,149 – £50,296 per annum. Very strong and experienced applicants may be appointed to a Readership, for which the salary is £53,348 – £60,022.
Applications close at 7th January 2022 at 5pm. Please ensure that your online application includes an up-to-date CV, research statement and teaching statement In addition please arrange for three references to be sent to firstname.lastname@example.org by the closing date quoting Job Req 2786
Informal enquiries may be made to Professor Jacques Vanneste (Head of Theme) at J.Vanneste@ed.ac.uk
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You should apply online using this link
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. The School of Mathematics is a family friendly environment.
If you have the right to work in the UK and are invited for interview you, will be required to provide evidence of this right. If you do not yet have the right to work in the UK, visa routes may be available to you. Further information is available on our right to work webpages.
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.
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 holds a Bronze Athena SWAN award in recognition of our commitment to advancing the representation of women in mathematics.
Further information about the School, our research and our teaching is available at http://www.maths.ed.ac.uk
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