Overview

We are looking to recruit up to 6 outstanding science graduates to a 4-year (1+3 MRes-PhD) programme or a 0+3.5 year PhD programme (based on applicants CV and experience) in Biomedical Science, Bioinformatics & Data Analysis Programme to work on internationally-competitive research projects, equipping them to exploit excellence in basic research for improving the health of local and national patient populations. This call is for applications for PhD studentships for September 2019 entry. To facilitate training in Biomedical Informatics, students will benefit from dual supervision from both basic and clinician scientists.this call is for applications for PhD studentships for September 2019 entry. To facilitate training in Biomedical Informatics, students will benefit from dual supervision from both basic and clinician scientists.

We understand that outstanding students come from a range of backgrounds; that’s why we offer a dual PhD structure, with both a PhD-only and MRes/PhD pathway. The MRes consists of three rotations through a choice of project areas as well as workshops providing training and development in research skills.

The current list of available projects can be found below and in more detail in the BRC PhD Project Catalogue (578 KB).

BRC studentships offer a generous stipend of £20,191 per annum for the 2019/20 academic year; costs for MRes and PhD fees are covered by the BRC as well as funds for research project support.

Criteria

Candidates must possess, or be expected to achieve a 1st or upper 2nd class degree in a relevant subject including the biosciences, chemistry, physics, computer science or mathematics, and be enthusiastic about combining their expertise with other disciplines in the field of healthcare. The full fellowship is open to EU/Home and overseas students.  Tuition fees are included.

How to Apply

Interviews for shortlisted candidates has been provisionally scheduled for the week of 9th May 2019. Successful applicants are expected to take up their studentships in September 2019. The call closes 5pm on 9th April 2019

For queries please contact brctraining@gstt.nhs.uk in the first instance. Informal enquiries about the PhD Studentship projects may be addressed to the designated Project Supervisor.

The a list of exemplar available projects can be found below.

Supervisor Project Title Theme/s Cluster

Dr Matthias Krause

Development of a pancreatic cancer cell migration and invasion high content image analysis pipeline

Imaging Sciences

Cluster 2 – Precision Medicine

Dr David Morris

Developing clinically useful predictive models for lupus Sub-phenotypes

Genomic Medicine, Immunity & Infection

Cluster 1 – Advanced Therapeutics and Experimental Medicine

Dr Sophia N Karagiannis

Delineating Signalling Pathways of Antibody-Mediated Activation of Immune Cells in Cancer Immunotherapy

Cutaneous Medicine

Cluster 1 – Advanced Therapeutics and Experimental Medicine

Dr Kerrin Small

Transcriptional profiling of adipose tissue in cardiovascular disease patients using machine learning

Cardiovascular disease, Genomic Medicine

Cluster 2 – Precision Medicine

Professor Catherine Williamson

Optoacoustic and MRI evaluation of maternal and neonatal brown adipose tissue function and relationship to dyslipidaemia in pregnancies complicated by maternal metabolic disease

Women’s & Children’s Health

Cluster 2 – Precision Medicine

Dr Saeed Shoaie

Integrative personalized modelling of immunome, microbiome and metabolome in cancer patients

Genomic Medicine, Immunity & Infection

Cluster 2 – Precision Medicine

Dr Paola Di Meglio

Bioinformatic integration of multi-omics datasets to accelerate precision medicine approaches in inflammatory skin disease

Cutaneous Medicine

Cluster 2 – Precision Medicine

Dr Anita Grigoriadis

Developing the new generation of mesenchymal stem cells for regenerative medicine

Genomic Medicine, Immunity & Infection, Regenerative Medicine And Cellular Therapy

Cluster 1 – Advanced Therapeutics and Experimental Medicine

Professor Rebecca Oakey

Data integration of endocardial cell transcriptomes -in search of the heart valve switch

Cardiovascular disease, Genomic Medicine

Cluster 2 – Precision Medicine

Dr Marika Charalambous

Why do some babies fail to grow in utero? Investigating a novel molecular diagnostic tool for identification and stratification of pregnancy complications

Genomic Medicine, Women’s & Children’s Health

Cluster 2 – Precision Medicine

Dr Claire Wells

Use of ‘Axon-like’ Nanofibres to quantify Glioblastoma cells migration

Regenerative Medicine And Cellular Therapy

Cluster 2 – Precision Medicine

Professor Mahvash Tavassoli

A therapeutic HPV vaccine, for adjuvant therapy of HPV positive head and neck cancer

Dentistry, Oral and Craniofacial Sciences

Cluster 1 – Advanced Therapeutics and Experimental Medicine

Professor David Edwards

Is the brain already programmed for later psychiatric disease at birth? Using machine learning with neuroimaging and genomic data to study gene-environment interactions.

Bioengineering and Imaging Sciences

Cluster 2 – Precision Medicine, Cluster 3 – Data Analytics

Professor Serena Counsell

Predicting neurocognitive delays and behavioural disorders in children using MRI: a machine learning approach

Imaging Sciences

Cluster 2 – Precision Medicine

Dr Martin Bishop

Enhanced risk stratification for cardiac implanted defibrillator requirement combining structural imaging and functional electrical data through the integration of computational simulation with machine learning approaches.

Cardiovascular and Imaging Sciences

Cluster 2 – Precision Medicine

Immunity & Infection

Studying T cell function at the site of inflammation in humans: bioinformatic profiling of synovial effector and regulatory T cells

Immunity & Infection

Cluster 2 – Precision Medicine

Prof Steven Niederer

Characterising Atrial Anisotropy and Fibrosis For Patient-Specific Models of Atrial Fibrillation Ablation

Cardiovascular and Imaging Sciences

Cluster 2 – Precision Medicine

Professor Alistair Young

Morphometric Informatics of Congenital Heart Disease

Cardiovascular and Imaging Sciences

Cluster 2 – Precision Medicine

Francesca Capon

An analysis of the interleukin-36 response as a mechanistic biomarker of lung cancer progression

Immunity & Infection

Cluster 2 – Precision Medicine

Afshan Malik

The role of organ specific mitochondrial gene variation and expression in diabetic complications

Cardiovascular, Genomic Medicine, Transplantation, Womens and Childrens health

Cluster 2 – Precision Medicine

Claire Steves

Genomic changes with Pollution: Impact on development of multi-morbidity

Genomic Medicine

Cluster 3 – Data Analytics

Vasa Curcin

Identify brain-heart interaction and association with subsequent CVD event after stroke using machine learning from computable phenotypes from BRC data sources and UK Biobank imaging and phenotypical data.

Cardiovascular

Cluster 3 – Data Analytics

Dr Jordana Bell

Computational approaches to unravel the genomic and multi-omic signatures of obesity and their potential towards prediction of type 2 diabetes

Genomic Medicine

Cluster 2 – Precision Medicine

Dr Nick Dand

Clinical and genomic data analytics for improved management of psoriasis

Cutaneous Medicine, Genomic Medicine

Cluster 2 – Precision Medicine

Dr Sara White

Risk Assessment for Targeted Treatment of Gestational Diabetes

Women’s & Children’s Health

Cluster 2 – Precision Medicine

Professor Paul Sharpe

Targeting resident stem cells to treat periodontal disease

Oral Health

Cluster 1 – Advanced Therapeutics and Experimental Medicine

Professor Rachel Tribe

Precise Network Discovery Science: development of a multi-omics bioinformatics workflow to unravel mechanism and discover biomarkers related to pregnancy complications

Women’s & Children’s Health

Cluster 2 – Precision Medicine

Maddy Parsons

Investigating novel therapeutic targets for fibrotic skin disease

Cutaneous Medicine

Cluster 1 – Advanced Therapeutics and Experimental Medicine

Susan Cox

Systems microscopy of cell mechanoreciprocity

Imaging Sciences

Cluster 1 – Advanced Therapeutics and Experimental Medicine