Computational approaches for understanding regulatory dynamics across the circadian cycle

This PhD studentship is an exciting collaboration between the University of Surrey (Surrey Sleep Research Centre) and GSK and will combine state-of-the-art single cell RNA sequencing with bioinformatics technologies and machine learning computational approaches to model temporal circadian dynamics in T cells.

Start date
1 October 2022
Duration
3.5 years
Application deadline
Funding source
Jointly funded by the University of Surrey and GSK
Funding information

Stipend starting £16,077 with £4,000 enhancement. In addition, £650 pa will be allocated for attending scientific meetings. Fees are paid and there is a generous consumable budget.

About

Applications are invited for a 3.5 year full-time industrial doctoral studentship co-funded by the University of Surrey (Surrey Sleep Research Centre) and GlaxoSmithKline (GSK). The studentship is a collaborative partnership between GSK and the University of Surrey. GSK is a science-led global pharmaceutical company. GSK undertakes research and development in a broad range of innovative products in the primary areas of Pharmaceuticals and Vaccines and is committed to the mission of improving the quality of human life by enabling people to do more, feel better and live longer (see www.gsk.com). University of Surrey is a world-class university with an impressive international reputation in academic excellence in research and teaching.

In this biological informatics PhD project, we will address the new challenges presented by Gene Regulatory Network (GRN) inference from single-cell RNA-seq (scRNA-seq) data, in terms of the volume and distribution of data, and temporal dynamics, including between cell variation. To achieve this, we will produce foundational scRNA-seq data collected across the circadian cycle, assess the synchronisation and variance between cells, establish a computational framework for the circadian contextualisation of scRNA-seq data, develop computational methods that leverage temporally sorted scRNA-seq data to model the circadian dynamics of GRNs and produce a temporal GRN model for T-cells, a central cell in the immune response that displays circadian rhythmicity.

To the candidate this PhD project will provide:

  • An opportunity to briefly work in the laboratory to understand the biology and experimental approaches underpinning the project
  • A multi-disciplinary supervisory team able to support all aspects of the research programme
  • Training in single-cell data analysis from leaders in the GSK computational biology group
  • Industry experience
  • Opportunity to work at the forefront of dynamical modelling.
Related links
GKS website
Additional notes

As a doctoral student, you will primarily be based at University of Surrey. You will have opportunities to gain valuable research experience in both an academic and an industrial setting with appropriate research supervision provided by both the Academic and Industrial supervisors throughout the course of this collaborative research project. The collaboration will involve you spending a minimum of two-months at a GSK research facility.

Both GSK and the University of Surrey are passionate about recruiting the best talent irrespective of their background. In fact, we strongly encourage applicants from all backgrounds (social, cultural and educational) for interview. We are proud of championing the virtues of Equality, Diversity and Inclusion (EDI). We believe that no capable candidate should ever receive more favorable treatment, than any other, on the grounds of sex or gender assignment, physical or mental disability, marital status, HIV status, sexual orientation, pregnancy status, race, colour, nationality, ethnic or national origin, or religion or belief. All assessments are made on merit and merit alone. We have support systems in place to protect the physical and mental health well-being of all our staff and students. Moreover, we will make every effort to accommodate your personal circumstances, by adopting a flexible working/study pattern, to enable you to progress in your career whilst at the same time managing your personal circumstances such as e.g. parenting or caring responsibilities, health-issues and overcoming any hindrances due to cultural expectations. If you have the motivation to succeed, we will work with you, irrespective of your background or personal circumstances.

Eligibility criteria

A good honours degree (upper second) in an appropriate discipline. See our PhD programme page for details.

English Language requirements 

IELTS score of 6.5 overall, with no lower than 6.0 in writing, or equivalent.

How to apply

Applications should be submitted via the Biosciences and Medicine PhD programme page on the ‘Apply’ tab. Please clearly state the studentship title and supervisor on your application. Please also email a copy of your CV and personal statement (outlining your suitability for the project, what you hope to achieve from the PhD, and your research experience to date) to simon.archer@surrey.ac.uk.


Application deadline

Contact details

Simon N Archer
07 AY 02
Telephone: +44 (0)1483 686408
E-mail: Simon.Archer@surrey.ac.uk
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