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Postdoctoral Research Assistant - QMUL16773

Department: School of Mathematical Sciences
Salary: £33,615 - £37,411 (Grade 5)
Reference: QMUL16773
Date posted: 05-Nov-2018
Closing date: 16-Dec-2018

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Overview:

About us

Queen Mary is one of London and the UK’s leading research-focused universities. With over 20,000 students, it is amongst the largest of the colleges of the University of London. Queen Mary’s 4,000 staff teach and research across a wide range of subjects in Science and Engineering, the Humanities, Social Sciences and Laws, and Medicine and Dentistry.

The School of Mathematical Science has an exceptionally strong research presence across the spectrum of areas within Pure and Applied Mathematics, and is currently organised into seven research groups, namely: Algebra and Number Theory, Combinatorics, Complex Systems and Networks, Dynamical Systems and Statistical Physics, Geometry and Analysis and Probability and Applications. The School also has large and popular undergraduate and graduate programmes.

The School is entering an exciting period of strategic growth with significant investment in new posts over the next three years across a broad range of disciplines.  In addition to academic appointments, approximately £20M is being invested in the School’s building to provide state-of-the-art research, teaching and study facilities for staff and students.

About the role

We invite applications for two Postdoctoral Research Associate positions to participate in the project “Advances in Mean Curvature Flow: Theory and Applications” funded by the EPSRC. The research will be undertaken under the direction of Dr Reto Buzano (PI) and Dr Huy The Nguyen (Co-I). This project seeks to advance the understanding of the singularity formation of the Mean Curvature Flow in high codimension and in curved background spaces by developing new concentration compactness results to analyse the singularities and surgery procedures to geometrically resolve singularity formation, and finally explore applications of the new theory to various fields of mathematics.

The successful applicant should possess excellent knowledge of geometry and analysis, preferably with previous research experience in geometric partial differential equations such as geometric heat flows, geometric measure theory, and/or high codimension submanifolds. A proven track record of conducting high level research and writing high quality research papers is also expected.

The positions come with a generous travel allowance and other benefits for the post-holders.

For further details of the role and selection criteria please refer to the job specification attached.

The School and Athena SWAN Charter for Women in Science

The School holds a departmental Bronze Athena SWAN Award and is a registered supporter of the LMS Good Practice scheme. We are committed to the equality of opportunities and to advancing women’s careers. We have policies to support staff returning from long-term absence, for flexible arrangements for staff with parental responsibilities and for child-care support for the attendance of conferences. As part of the School’s commitment to the Athena SWAN and the LMS Good Practice principles, we strongly encourage applications from women.

Please visit www.maths.qmul.ac.uk/equality/athena-swan for information about the Athena SWAN Charter and our family friendly policies and parental leave.

Pay & Benefits

The post is full-time and fixed-term for 24 months, with an expected start date on 1 September 2019. Starting salary will be in the range £33,615 - £37,411 per annum inclusive of London Allowance. Benefits include 30 days annual leave, childcare vouchers scheme and pension scheme.

Informal enquiries may be made to Dr Huy The Nguyen at h.nguyen@qmul.ac.uk

Details about the school can be found at www.qmul.ac.uk/maths

To apply, please visit www.jobs.qmul.ac.uk and search for reference QMUL16773

The closing date for applications is 16 December 2018.

Interviews are expected to be held on 10 & 11 January 2019.

Valuing Diversity & Committed to Equality

Apply online