Reader/Professor in Statistics ¶
By: Felix Emeka Anyiam on Sept. 4, 2019, 9:09 a.m.
Department: School of Mathematical Sciences
Salary: Starting from £55,840 per annum (Grade 7)
Location: Mile End
Closing date: 27-Oct-2019
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, Probability and Applications, and Statistics. 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, 12 research assistants and fellows, with several more to join in September 2019 and 14 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 to which the School is on track to move back into during the summer of 2019.
About the role
We invite applications for a Reader or Professor in Statistics to lead the School’s Statistics Group. As part of the University’s collaboration with the Alan Turing Institute, the successful candidate will have the opportunity to become a member of the Institute of Applied Data Science at QMUL and a Turing Fellow of the Alan Turing Institute. Further information on Statistics in the School is available here.
As the successful candidate, you will have strong leadership qualities and an interest in pursuing excellence in teaching and supervising graduate students, as well as having the ability and flexibility to teach across a range of topics in statistics and its applications at undergraduate and postgraduate level. At Reader level, you will have an excellent research profile as demonstrated by obtaining research funding, as well as a record of successful PhD supervision. At Professorial level, you will have a substantial and internationally recognised research profile, a track record of securing significant research funding, postdoctoral mentoring and PhD supervision, as well as demonstrable leadership qualities.
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
We value diversity and we celebrate and thrive on the contributions of all our employees. The School holds a departmental Bronze Athena SWAN Award and is a registered supporter of the LMS Good Practice scheme. As part of the School’s commitment to Athena SWAN and the LMS Good Practice principles, we strongly encourage applications from women and we are committed to advancing women’s careers. We have policies to support staff returning from long-term absence, flexible arrangements for staff with caring responsibilities and for child-care support for the attendance of conferences.
Please visit https://www.qmul.ac.uk/maths/about-us/equality/ for information.
Pay & Benefits
The post is full-time permanent starting in September 2019 or as soon as possible thereafter. Salary at Reader level will be in the range of £55,840 - £62,415 per annum inclusive of London Allowance. Salary at Professorial level will be negotiable starting from £68,391. Benefits include 30 days annual leave and USS pension scheme.
The closing date for applications is Sunday 27 October 2019. Interviews will be held shortly thereafter.
Valuing Diversity & Committed to Equality
Felix Emeka Anyiam
Research Officer & Data Analyst/Scientist
Centre for Health and Development
University of Port Harcourt (UNIPORT)
Top Floor, Medical Library Building
University of Port Harcourt Teaching Hospital (UPTH), Port Harcourt
River State, Nigeria.
ORCID ID: http://orcid.org/0000-0003-2774-7406
Skype ID: @felix.emeka.anyiam
tel: +234 (0) 806 499 5462
I don't mind not knowing. It doesn't scare me. - Richard Feynman
To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of. -Ronald A. Fisher.
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