Job vacancies in the School of Mathematics
Lecturer in Statistics
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Reference :E&PS-00990
Faculty / Organisational unit :Engineering Physical Sciences
School / Directorate :School of Mathematics
Division :Statistics
Salary : £32,901 to £45,486 p.a.
Employment type :Permanent
Hours per week :35
Location :Sackville Street
Applications are invited for a lecturer in statistics, with interests in any area of statistics, who will help to enhance and extend the School's expertise and capacity in this area, both through teaching (at undergraduate and postgraduate level) and research (including the supervision of PhD students).
At present, the School has eight permanent members of staff in statistics who are based in the Probability and Statistics Group, but there are also close links with statisticians elsewhere in the University, particularly those in the School of Community-Based Medicine and the School of Social Sciences. The School also has strong ties with Manchester Business School.
The main duties of the post will lie in teaching and research. The former will include teaching undergraduate and postgraduate students by means of lectures, seminars, tutorials and examples classes, continually developing teaching material and learning experiences for students and acting as personal tutor to undergraduate students in accordance with the School’s current practice.
Research will involve undertaking research of high-quality in collaboration with colleagues and publishing the results in world-leading journals, books or similar organs and making applications for research grants and funding.
Candidates should have a PhD or equivalent relevant experience and are expected to be an internationally recognised researcher in a relevant area of statistics or, if in an earlier career stage, to show exceptional promise and ability. Applicants should also have: a record of original high-impact research that has won international recognition, as evidenced by publications in internationally-leading journals or, if at an earlier career stage, show very strong potential to do so; an willingness and an ability to supervise postgraduate research students and to undertake interdisciplinary research.
Those individuals who can demonstrate the ability to develop novel statistical methodology, particularly with application interests in the areas of biology, medicine or finance are especially welcome.
Informal enquiries
Informal enquiries can be made to Prof Peter Duck, Head of School:
Email: peter.duck@manchester.ac.uk
Telephone: 0161 275 5831
The University of Manchester values a diverse workforce and welcomes applications from all sections of the community.
For further details and to apply for this post, please click here.
Research Associate
The information below provides details relating to the job you have selected. Please review the information and if you wish to progress to the application form then "Apply for job".
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Reference :EPS-01070
Faculty / Organisational unit :Engineering Physical Sciences
School / Directorate :School of Mathematics
Division :
Salary : £29,249 to £35,938
Employment type :Fixed Term
Duration:Tenable for three years
Hours per week :Full time
Location :Oxford Road
A Research Associate position is available for an outstanding and ambitious applied mathematician or theoretical physicist to work with Prof. Sergei Fedotov on the project "Anomalous reaction-transport equations: applications to the theory of cancer spreading and subdiffusion in dendrites", which is funded by an EPSRC grant. The general objectives of the project are (i) to develop the mesoscopic two-state model of anomalous transport with reactions by using probabilistic approach to underlying microscopic reactions and subdiffusive/superdiffusive transport for molecules and cells; (ii) to apply this new model to biologically-motivated problems: anomalous transport in spiny dendrites and transport of cancer cells with phenotypic switching.
You should havea PhD (or equivalent) in mathematics or theoretical physics, a strong background in asymptotic analysis, modelling, stochastic processes and partial differential equations including fractional PDE, excellent communication skills, the ability to work independently and carry out computationally intensive numerical experiments involving partial differential equationsand the capacity to work with multidisciplinary research teams.
Informal enquiries
Informal enquiries can be made to Professor Sergei Fedotov:
Email: sergei.fedotov@manchester.ac.uk
The University of Manchester values a diverse workforce and welcomes applications from all sections of the community.
Please consult the university website for job vacancies elsewhere within the University of Manchester.
