*** NEW: PhD studentship on theory of networks available ***
There is a studentship available on Multi-Layer Spatiotemporal Generalized Networks: Theory and Applications, funded by a grant that Prof. Vito Latora has awarded from the European Union. Detailed information you cand find under the above link. Please note that deadline for applications is January 22nd and start date January-February 2013.
Studentship Allocation Round for entries in 2013-14: new studentships available
The School of Mathematical Sciences at Queen Mary, University of London offers postgraduate research opportunities in a wide range of areas of Pure Mathematics, Applied Mathematics and Statistics. For the 2013-14 entry the School invites applications for five fully funded PhD studentships.
Two of them are in any area of interest of researchers active in the Centre for Discrete Mathematics. For details please see here.
Projects funded by the other three studentships should relate to the general research areas listed below. These research areas are illustrated by associated sample projects provided staff members. Please note that this list of topics should not be seen as exclusive, where applicants have identified other projects and suitable supervisors: Applications for any other project that connects to these research areas, and the expertise of staff members at our School, are welcome! All studentships will be allocated to the students with the strongest academic background and potential in these fields of research.
Applied Mathematics:
- Complex Systems and Interdisciplinary Research. Examples of offered projects are:
- Information theory and predictability of dynamical and multilevel complex networks (supervisor Dr. Bianconi)
- Statistical data analysis and stochastic modeling of radar-tracked bumblebee flights in the wild (supervisor Dr. Klages)
- Nonlinear Dynamical Systems. Examples of offered projects are:
- Strip maps and discrete Hamiltonian perturbation theory (supervisor Prof. Vivaldi)
- Non-linear perturbations of cosmological models and black hole spacetimes (supervisor Dr. Valiente Kroon)
- Nonequilibrium Statistical Mechanics. Examples of offered projects are:
- Fluctuations and large deviations in non-equilibrium statistical mechanics (supervisor Dr. Touchette)
- Optimization of random packing densities in the space of object shapes (supervisor Dr. Baule)
- Scaling functions for vesicle absorption models via asymptotic analysis of basic hypergeometric functions (supervisor Dr. Prellberg)
Pure Mathematics:
- Graph theory and combinatorics. An examples of an offered projects is:
- Realisations of Graphs as Frameworks (supervisor Prof. Jackson)
- Algebra, combinatorics, geometry, and group theory. Examples of offered projects are:
Statistics:
- Functional data methods for human motion and interaction data (supervisor: Dr. Grossmann)
- Design and Analysis of Experiments (supervisors: various members of the Statistics Group)
The schedule for applications is as follows:
- Deadlines for applications is strictly 31 January 2013
- Interviews will take place in February 2013
- Offers to successful candidates will be made starting from the end of February 2013
The School is also pleased to offer 5 tuition fee waivers for Chinese PhD students for awarding studentships from the China Scholarship Council in the new round 2013. The timeline for these studentships is as follows:
- 31 January 2013: application deadline for CSC applicants
- First week March 2013: formal offers made by QMUL to successful CSC applicants
- Late March 2013: applicants holding offers apply to CSC
- May-July: CSC informs applicants of outcomes; possible second round of selection
We are also happy to receive applications from PhD students
- funded by the Turkish government
- who seek funding from the Brazilian Science without Borders scheme
- who seek funding from the Mexican Conacyt scheme
- who are from Vietnam, for which scholarships from the Vietnamese government should be available; please contact one of the postgraduate tutors below for further details
For any enquiries regarding the above PhD studentships please contact our corresponding Postgraduate Tutors:
- Applied Mathematics: Dr. Rosemary Harris.
- Pure Mathematics: Prof. Bill Jackson
- Statistics: Dr. Heiko Grossmann
A list of projects that we have offered in the allocation round last year can be found in our project archive.
Hints on further funding are available on our PhD funding webpage. If you have funding for your PhD studies available already, please feel free to apply immediately. In any case, it is highly recommended that first you make up your mind in which area of mathematics you wish to work and, ideally, to even think of prospective PhD supervisors at our School. It is important that your supervisor shares your research interests such that he/she can successfully guide you in your research. In this respect, the following information should be helpful:
PhD research in Applied and Pure Mathematics
Many PhD students in Applied and Pure Mathematics do not pursue targeted research projects specified at the outset. Instead, they develop an agreed programme of study in discussion with their supervisor during their first year here. This programme tends to evolve in response to what has been learned during preliminary studies.
With this in mind, the important question for a prospective student is: are my interests aligned with those of the School? The following links provide information on the general research strengths of the School, and specific research interests of members of the Applied and Pure Groups.
- Pure Mathematics. see the members of the group (with a thumbnail sketch of their research interests) and a list of their publications.
- Applied Mathematics. see the members of the group (with a thumbnail sketch of their research interests) and a list of their publications
PhD research in Statistics
Research statisticians specialise in various different topics. Here are some details of the topics investigated by members of the Statistics Group in the School of Mathematical Sciences. Some investigations involve collaboration with scientists in other departments or elsewhere. There is also a list showing the research topics currently pursued by individual members of statistics staff.
From time to time, we have projects available which are co-sponsored by an industrial partner, or which are run jointly with colleagues in another department at Queen Mary. Recent examples of the latter include the School of Biological and Chemical Sciences, the School of Electronic Engineering and Computer Science, and the Wolfson Institute of Preventive Medicine.
