Skip to main content

This job has expired

Postdoctoral Research Assistant, Mathematical Science

Employer
QUEEN MARY UNIVERSITY OF LONDON
Location
London, United Kingdom
Salary
£34,220 - £36,098 (Grade 4)
Closing date
12 Dec 2019

Department: School of Mathematical Sciences
Salary: £34,220 - £36,098 (Grade 4)
Reference: QMUL20591
Location: Mile End
Date posted: 12-Nov-2019
Closing date: 12-Dec-2019

Overview:

About us

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 six 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.

Following a period of significant growth, the School comprises of around 70 academic staff, 16 postdoctoral research assistants and fellows, and 13 members of professional services staff. The School is home to around 70 PhD students, and approximately 1,000 undergraduates. Recently, £18M was invested in the School’s building transformation project to provide state-of-the-art research, teaching and study facilities for staff and students. The School moved back into its fully refurbished building during the summer of 2019.

About the role

We invite applications for an experienced Postdoctoral Research Assistant, to work on the  project “Assessing spatial heterogeneity through random walks on graphs”, funded by EPSRC, under the supervision of Dr. Vincenzo Nicosia.

The successful applicant will have an excellent knowledge and research experience in complex networks and in dynamics on networks. In particular, it is highly desirable that the candidate has previous research experience on diffusion and random walks on graphs, on using high-level programming languages to perform large-scale simulation on networks, and on analysing real-world spatial data. The project involves the usage of random walks on graphs with coloured nodes for the quantification of spatial heterogeneity and spatial correlations. A track record of conducting high-quality research and writing and publishing high-quality papers is also expected.

The position comes with a generous travel and subsistence allowance, as the applicant is expected to visit project partners in the UK and abroad, and to present the results of the project at international conferences in the field.

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 for information about the School and www.maths.qmul.ac.uk/equality/athena-swan for our family friendly policies and parental leave.

Pay & Benefits

The post is full-time and fixed-term for 12 months, starting on 3 February 2020 or as soon as possible thereafter. Starting salary will be in the range £34,220 – £36,098 per annum inclusive of London Allowance. Benefits include 30 days annual leave and USS pension scheme.

Informal enquiries may be made to Dr Vincenzo Nicosia at v.nicosia@qmul.ac.uk

To apply, please click the link below.

Please ensure that you submit a research statement with your application, and that you nominate at least two academic referees.

The closing date for applications is 12th December 2019.

Interviews are expected to be held between December 2019 and the beginning of January 2020.

Valuing Diversity & Committed to Equality

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert