How fast will an infectious disease spread? How can conflicting operational features of a telephone be reconciled? How can we use algebra to investigate networks? How does information flow in the brain? These are just some of the intriguing questions being tackled by members of Computing Science and Mathematics in the course of their research.
We offer MPhil and PhD degrees by research. In recent years, we have been very successful in attracting research funding and currently hold grants to a value of more than £1 million. Divisional research has attracted external support from BBSRC, EPSRC, DEFRA, the European Commission, the European Investment Bank, the Scottish Executive, The Royal Society, The Nuffield trust and other funding agencies.
Computing Science and Mathematics has scope for PhD studies in a number of areas, see the Topics tab above for more details.
Find out more about our research from the research web pages: www.cs.stir.ac.uk/research/
The MPhil and PhD in Computing Science and Mathematics are research training degrees. At the end of the programme the student will be able to demonstrate, via a written thesis, a range of abilities including: making a critical overview of a discipline; development of that knowledge into one or more specialisms; designing and executing research, investigative or development projects to deal with new problems and issues, applying a range of enquiry techniques; developing creative and original responses to problems and issues; and, communicating at an appropriate level to a range of audiences in a variety of contexts and for differing purposes.
Our division is welcoming. Our staff are a collaborative and approachable group who work closely together to ensure our students get appropriate technical training and transferable skills in a nurturing environment.
Computing facilities in the division, and the network infrastructure are all state of the art and regularly updated. You will make use of these computing facilities provided by the division which are linked to the wider campus network.
A further advantage is the campus itself; a beautiful, exciting and friendly place to be with facilities including the Sports Centre complete with Olympic size swimming pool, the MacRobert Arts Centre and the Students' Union.
The Division has scope for PhD studies in a number of areas, some of which are discussed below. Funding for studentships is available from time to time. The University is offering some studentships and we may be able to offer a small number of Divisional studentships. There are, in addition, some SICSA prize studentships available in Computing Science.
If you are interested in applying, please contact the person named in the particular proposal.
Select the appropriate link below to view each topic relevant to either Computing Science or Mathematics.
Investigating Behaviour through Modelling, Simulation, and Virtual Experimentation
Superviser: Dr Savi Maharaj
Modelling decentralised computing: a journey on Crypto-currencies, Blockchain technologies, Consensus and Trust-less interaction, Smart Contracts and Decentralised Applications
Superviser: Dr Andrea Bracciali
Second Life: Virtual and real world interaction
Superviser: Prof Evan Magill
An Individual Interactions Approach to Biology/Ecology/Immunology
Superviser: Prof Carron Shankland
Projects in Computational Neuroscience
Superviser: Prof Bruce Graham
Search Algorithms for Peer-to-Peer Overlay Networks
Superviser: Dr Mario Kolberg
Natural Computing / Computational Intelligence
Superviser: Prof Amir Hussain
Using Mathematical models to understand the Dynamics and Control of Wildlife Diseases
Using Mathematical models to solve problems in Aquatic Food Security
Superviser: Prof Rachel Norman
Evolutionary and ecological systems
Superviser: Dr Andrew Hoyle
Modelling and analysis of partial differential equations in structured population dynamics
Superviser: Dr Jozsef Farkas
The programme is broadly the same for both the MPhil and the PhD degrees, with different goals and timescales. A full-time research degree normally lasts one year for an MPhil and three years for a PhD. An MPhil may be typified as taking existing research and applying it to a new area, while a PhD will tend to modify and expand the work of others to make a contribution to the research field. Each student and topic is unique, and the programme varies tremendously depending on those two variables; however, there are some general points to be made.
Each student is allocated a supervisor and a second supervisor. Students generally meet weekly with their supervisors to discuss progress. Support is also available from other researchers with the same research interests through the research group structure. Most groups have regular meetings throughout the semester. Peer support is available through the monthly Postgraduate Research Students group, PG Tips. The Postgraduate Tutor is available to give general advice to research students.
Most training is carried out relatively informally on a one-to-one basis between student and supervisor. To learn about specific subjects students may attend advanced courses in the division, or specialist schools outside the division. In addition to the Division's research training, research students have access to the Stirling University Graduate School. This offers research training on matters such as intellectual property rights, patents, technology transfer, information retrieval and communication skills. All students are encouraged to attend the UK GRAD programme courses, which offer transferable skills such as team building, networking, and career development.
A major challenge for students, especially in the PhD programme, is to structure their work over a long period of time. The Division requires students to meet regular milestones to help them focus on achievable short term goals, and to ensure adequate progress towards the final goal of submitting their thesis.
Students are admitted initially for postgraduate study. A major milestone occurs 10 months into the PhD programme when confirmation to PhD registration is made. In addition, students must submit a report annually and be orally examined by a viva panel consisting of their two supervisors and one other member of the division. This provides valuable preparation for the final thesis and viva. A less formal milestone is the annual Student Talks Day, at which research students have the opportunity to present their work to a larger audience.
There are a number of possible funding sources available for PhD studies. These depend on the subject area and your country of origin. More details can be found on the University web pages. A funding body pays the University's fees directly, and also awards a maintenance grant whose amount depends on the body.
Each year a number of paid positions as tutors and demonstrators are available to research students. Demonstrators are involved with laboratory work for more elementary undergraduate classes. Tutors have responsibility for a tutorial group of year 1 or 2 students. As well as providing a source of income, these duties can give valuable experience for those considering lecturing as part of their future careers. Interested students should discuss options with their supervisor and the appropriate members of staff as early as possible, and certainly before the start of semester. Funding bodies typically impose restrictions on the number of hours work a student can do. The Division restricts non-PhD work to a maximum of 6 hours per week for all full-time students during semester, with an annual maximum of 180 hours. If a student faces particular financial hardship within these limits, special arrangements may be possible and should be discussed between the student and the supervisor.
An important skill that all researchers require is that of presenting their work to others. All research students have to learn this skill and, in time, will be expected to give talks to specialist discussion groups within the division. PG Tips provides an opportunity for research students to make presentations to their peers. The meetings are organised and attended by research students (with staff present only by invitation). Meetings are normally held monthly, and each research student is expected to contribute one or more talks dealing with his/her own research. In addition to providing an informal atmosphere for presentation, PG Tips gives students a useful opportunity to learn something of the work of their fellow students and of other research groups. Attendance at PG Tips meetings is compulsory.
Each year a mini conference of research student talks is held. Usually this is in early June. This event is organised by the students (with support from staff). Each student contributes a short talk. This provides a friendly environment in which to practice giving talks. All staff are invited and attendance is compulsory for all research students.
Students are encouraged to take part in the generic skills training offered by the Stirling Graduate School. In addition we run some departmental specific training through our "Computing Science and Mathematics Skill Sharing" (COSMoS) programme.
Whilst presenting work to an academic audience is an important part of the PhD training, we also believe that public engagement is important and we encourage you to present your research to a broader audience. We have a Stirling branch of Sciencegrrl and regularly organise Science Fairs and Cabarets. We also encourage PhD students in the later years to take part in the University three minute thesis competition (3MT)
Our PhD graduates have gone on to a variety of senior posts, including university lectureships and research appointments in the University and Industrial sectors. Some have positions in industrial management, while others have set up their own company.
First or Upper second class UK honours degree in an appropriate discipline (usually Computing or Mathematics) or equivalent. Mature students with a lower class of degree may be accepted for research in Computing Science if they have substantial work experience of computing.
MPhil in Computing Science and MPhil in Mathematics (typically 1 year of full time study). PhD in Computing Science and PhD in Mathematics (typically 3 years of full time study). Full time or part time study is available.
Research degrees usually start on 1 October, 1 January, 1 April or 1 July.