World-Leading PhD Scholarship in Health Informatics

A fully-funded PhD scholarship is available to support an exceptional student wishing to undertake doctoral research in health informatics, in particular looking at analysing and predicting disease trajectories of multimorbidity. This prestigious PhD scholarship is awarded by St Leonard’s Postgraduate College at the University of St Andrews and will be supervised by Dr Areti Manataki, Dr Katherine Keenan, Prof Colin McCowan and Dr Michail Papathomas. Applications must be received by 12 June 2023.

Further information, including how to apply, can be found at: https://www.st-andrews.ac.uk/study/fees-and-funding/scholarships/scholarships-catalogue/postgraduate-scholarships/world-leading-scholarship-04-computer-science-medicine-geography/

School of Computer Science competition winner

Congratulations to Mirza Hossain, a MSc student from the School of Computer Science, who won the ‘technology’ category of our bi-annual ideas competition What’s the big idea?. Mirza was awarded £100 for telling his idea for a new technology specifically targeted at AI researchers. Mirza has also secured a space on the upcoming Steps to Start Up and FastStart Design Thinking Sprint programmes in May.

These programmes are part of the Entrepreneurship Centre’s Summer series which are open to all staff, students, and non-University members.

More information and registration here.

The competitions will re-open again in the new academic year and students and staff can apply here.

World-Leading PhD Scholarship: Personalised, Adaptive, Language-based Planner for next generation Robotics

A fully-funded PhD scholarship in Computer Science is available for a strong and motivated student wishing to work at the intersection of vision, large-language models, and robotic planning. This prestigious PhD scholarship is awarded by St Leonard’s Postgraduate College at the University of St Andrews and will be supervised by Dr Juan Ye, Dr Alice Toniolo, and Dr Kasim Terzic.

For more information, including how to apply, please see the advert: https://www.st-andrews.ac.uk/study/fees-and-funding/scholarships/scholarships-catalogue/postgraduate-scholarships/world-leading-scholarship-01-computer-science/?

Fully-funded PhD scholarship in Health Data Visualisation

The School of Computer Science at the University of St Andrews has a fully-funded scholarship available working with Dr Areti Manataki. The PhD topic is “Shedding light on patient flow through advanced data visualisation”. Applications must be received by 1 March 2023.

Project Overview

In modern healthcare systems, millions of patients are admitted to hospital every day. Managing patient flow through hospital, to ensure that patients are at the right place at the right time, can improve quality of care and health outcomes, while saving money and time. However, managing patient flow in a way that is safe for patients and cost-efficient is a challenging task, and requires a deep understanding of the complexities associated with patient flow.

This project involves employing advanced data visualisation techniques to shed light on patient flow and its many important dimensions: temporal and spatial patterns, patient characteristics, clinical expertise, hospital capacity and associated cost. Drawing inspiration from visualisation approaches to astronomy and transportation, and working closely with healthcare professionals, we will develop interactive visualisations that allow for the exploration of large and rich patient flow data. Our aim is to build visualisations that are powerful enough to capture the complexity of patient flow, and, at the same time, simple enough for clinicians to easily use to draw conclusions towards improving care.

Eligibility Criteria

We are looking for highly motivated research students willing to be part of a diverse and supportive research community. Applicants must hold a BSc or MSc in Computer Science or a related area (e.g., Data Science, Engineering, Mathematics, etc.). Experience in data visualisation, enthusiasm for research at the intersection of data science and health, an ability to think and work independently, excellent programming and analytical skills, and strong verbal and written communication skills are essential.

International applications are welcome. We especially encourage female applicants and underrepresented minorities to apply.

To apply

Informal inquiries can be directed to Dr Areti Manataki at A.Manataki@st-andrews.ac.uk. Formal applications can be made through the School’s postgraduate research portal.

The deadline for applications is 1 March 2023.

Funding Notes

We have one fully-funded scholarship available, which will be awarded competitively to the best applicant. This scholarship covers all tuition fees irrespective of country of origin and comes with a stipend (currently £17,668 per annum full-time equivalent). Additional scholarships may be available from other sources.

The School welcomes applications from under-represented groups, and is willing to consider part-time and flexible registrations. The successful applicant will however be expected to conduct their research in St Andrews and not fully remotely.

Fully-funded PhD scholarship in complex systems and simulation

The School of Computer Science at the University of St Andrews has a fully-funded scholarship available working within the Complex and Adaptive Systems Research Group with Prof Simon Dobson and Dr Peter Mann. Applications must be received by 1 March 2023.

Background

A “complex” system is one in which cause and effect can be hard to determine. In an epidemic, for example, it is easy to determine how someone was infected (by one of their social contacts), and we can also predict the overall size of an outbreak from the properties of the contact network — but we may not be able to predict in detail how the epidemic proceeds through the network, or what could be done to counter or steer it. Other examples include studying how rumours grow (and can be countered) on social networks, or to understand the effects of placement and error in sensor-driven systems such as those in climate science and ecology.

We understand relatively little about how things at “in-between” scales affect processes. These “meso-structures” include things like dense clusters of individuals, sparse chains of contacts, networks with core and periphery structures with different properties, and so on.

We are conducting a research programme investigating network meso-structures, with several goals. We want to understand these structures’ effects both analytically and numerically, meaning that we want to develop new frameworks for network process simulation and modelling based on our locally-developed simulation framework, epydemic, and to develop new analytic approaches to the study of these topics based on ideas from simplicial topology and sheaf theory.

Topics of interest

We are interested in a lot of different approaches, including but not limited to:

  • Applications of generating functions to the study of network processes
  • New applications of discrete combinatorial mathematics to complex systems
  • Understanding the effects of fine structure on processes
  • New simulation and numerical analysis techniques for complex systems
  • Epidemic spreading, especially the ways in which disease variants interact and develop through co-infection
  • Complex contagions such as rumour-spreading
  • Generating random networks with specific statistical properties

The scholarship

We have one fully-funded scholarship available, which will be awarded competitively to the best applicant. This scholarship covers all tuition fees and comes with a stipend (currently £17,668 full-time equivalent). Additional scholarships may be available from other sources.

The School welcomes applications from under-represented groups, and is willing to consider part-time and flexible registrations. The successful applicant will however be expected to conduct their research in St Andrews and not fully remotely.

To apply

Informal inquiries can be directed to Simon or Peter. Formal applications can be made through the School’s postgraduate research portal.

The deadline for applications is 1 March 2023.