ICSA continues to grow as a world-class pool of researchers in Informatics and Computing Science and there are a range of vacancies occurring regularly across the SICSA member Universities.
This page also features vacancies from industrial employers seeking to recruit graduates in Informatics and Computing Science.
Please note that all applications to external vacancies (outside SICSA) must be made directly to the advertising institution or organisation and not via SICSA.
PhD Positions in Security and Privacy available at the University of Edinburgh
We also welcome suggestions of other topics from candidates. You should first identify a potential supervisor, then send some information about yourself and your desired area of research, and why you’ve chosen the particular person. To find a potential supervisor, try:
- The list of people associated with the Security and Privacy research programme in Informatics.
- Other researchers in the Informatics directory may supervise PhDs topics that connect their area to Security and Privacy.
- Finally, if your area of interest overlaps Informatics with another discipline such as Engineering, Maths, Law, Politics, Business, then look at the researchers linked on the University Cyber Security Research Network.
Please don’t spam lots of people. A carefully written, relevant message is much more likely to get a positive response or be passed on.
Funding is usually awarded to students rather than projects. Outstanding candidates may be able to win scholarships; for autumn entry, early application is strongly encouraged as scholarship deadlines begin from December onwards. For full details see the PG Fees and Funding page. Some projects may have dedicated funding available, please ask the potential supervisor.
Funding is available for topics that connect to our EPSRC CDTs, you may wish to apply to one of them directly (note that the CDTs have different application procedures and have a 4-year programme including a Masters year):
There are also opportunities for funding from The Alan Turing Institute which will mean splitting time between Edinburgh and the Alan Turing Institute hub in London. Applications may be made to us or directly to the ATI. You should discuss this option with your potential supervisor.
PhD applications require an identified supervisor, CV, previous degree transcript(s), names of referees and a research proposal. The research proposal can be a statement of your own ideas, or an elaborated version of an idea from us.
Good research proposals demonstrate some basic understanding of an area, suggest some avenues to investigate and a methodology to follow, and include some scholarly references which you have studied. We don’t give more explicit instructions on writing the research proposal, since it is used as part of the assessment process; however, time permitting, your potential supervisor should be willing to review a draft before you submit and give you some feedback.
Please note that PhD scholarships are competitive and admission is highly selective even for students with their own funding. As a guide, at a minimum you should have obtained a 2:1 class undergraduate degree or an MSc with distinction from a UK University, or an equivalent level from outside the UK.
For details of how to apply online please:
You also need to select a research institute inside Informatics to apply to. This is usually the main research institute of your nominated supervisor; S&P research is spread across all institutes. If in doubt, select Laboratory for Foundations of Computer Science (LFCS), the institute can be reassigned by us after application.
PhD Studentship in Computer Science at the University of Glasgow, UK
Application Deadline: 1st July 2017
Start Date: 1st October 2017
Applications are invited for a fully-funded PhD studentship in computer science, in the area of ubiquitous computing, to work with Matthew Chalmers (Computing Science), Fiona Bradley (Engineering), and EDF Energy’s R&D group. The project will use fine-grained data on activity and sensors in a building— along with basic Building Information Modelling (BIM) data — to better predict energy consumption (and consumption needs), in a visualisation platform for building data.
A phone app would let people voluntarily share their activity (e.g. location/movement) when in the building, initially via the Bluetooth beacons installed in the Library by Chalmers’ group, and sensor packs that record temperature/noise/light/CO2 levels. Susan Ashworth, University Librarian is already supporting exploratory app work. Later, we aim to apply the project’s methods to the (soon to be built) Learning and Teaching Hub.
This PhD would not develop new types of analytics per se (e.g. new forms of statistical model), but improving energy prediction by going beyond the simple linear methods (e.g. regression models) generally used in this context, to non-linear models, by selectively extending the set of features used for analysis. By making the collection of such data economical, we aim to make it more likely that the gains in optimising energy use would more easily outweigh the costs in collecting and analysing the data.
The student would most likely have a Computer Science background, being able to do app development, handle straightforward sensor setups, and to analyse data using contemporary toolkits such as Jupyter Workbench, IBM BlueMix/Watson and D3 — bringing to bear the many tools for predictive modelling in these tools and on the web. The co-supervision role of Fiona Bradley in Engineering would be vital, as we ensure that the modelling conforms to the needs and aims of civil engineers. We would also reach out to Estates, for advice and collaboration—as, ultimately, we aim to develop methods to be used by them to reduce and optimise the energy consumption of the Library and other university buildings.
The first year would be spent getting up to speed on the existing systems on campus, exemplar systems and literature in research and practice, and relevant modelling/prediction methods. The student would visit EDF Energy’s R&D facility in Croydon at least once every other month to deepen and broaden their knowledge in these regards. By the end of the first year, the aim would be to have an operational system that can collect data, feed it into analytic tools albeit with preliminary predictive models. The second year would aim to deploy and refine the system/models, and aiming to publish in strong CompSci/Engineering venues such as Ubicomp. The third year would focus on applying the approach to the L&T Hub, and creating a comparative study of the project’s methods in the two buildings. The last six months would focus on writing up, dissemination, and feeding back into EDF Energy’s internal processes.
Funding is available to cover tuition fees for UK/EU applicants, as well as paying a stipend at the Research Council rate (£14,553 for Session 2017-18).
For further details of how to apply, entry requirements and the application form, see:
– FindAPhD: http://www.findaphd.com/search/ProjectDetails.aspx?PJID=86875
– UoG website: https://tinyurl.com/y7efgqe3
– Twitter: https://twitter.com/UofGSciEngGrads/status/870584025014042624