UNIVERSITY OF OXFORD & UNIVERSITY OF CAMBRIDGE & UNITED KINGDOM|SKY ACADEMY|
The INEOS Oxbridge Doctoral
Initiative is a programme that integrates the expertise and capabilities of two
Universities that are globally recognised for excellence in health science
research. This is funded by the INEOS Oxford Institute, with studentships fully
funded for 3.5 years (fixed term).
Three studentships will be
awarded in Oxford (DPhil) and three will be awarded in Cambridge (PhD), but students
will be encouraged to train in both Universities. This provides the chance to
experience the best of both academic environments and their established
networks.
At the heart of the initiative is
an ambition to nurture a diverse cohort of outstanding young scientists who
will become equipped to deal with the global challenges posed by the rapidly
emerging threat from antimicrobial resistance. Brief details of the projects,
main base and supervisors are given below.
Descriptions:
University of Oxford:
Department of
Biology: DPhil in Biology
Department of
Chemistry: DPhil in Chemistry
University of Cambridge:
Department of
Veterinary Medicine: PhD in Biological Sciences
Department of
Medicine: PhD in Medicine
Department of Chemistry: PhD in Chemistry
What does the INEOS Oxbridge
Doctoral Initiative offer?
Immersion in both Universities
Although registered in either Oxford or Cambridge as their
home base, all students will have ample opportunity to spend periods of time as
a visitor in the second University, taking part in ongoing collaborations.
Collaboration
Each project is distinct and unique for that student, but
there will be the opportunity to collaborate with other students and projects
within the initiative, with the additional possibility of input from industry.
Funding
Our studentships are fully funded for three and a half
years, through the generous support of the INEOS Oxford Institute. This funding
covers UK/international University of Cambridge & Oxford fees in addition
to living costs (stipend), which will be equivalent to the standard Wellcome
stipend rate.
Future prospects
By the time you graduate, you will have acquired skills that
are in high demand worldwide. This includes expertise in drug discovery,
machine learning and analysis of big data. Such skills will support your future
ambitions wherever these take you, including academia, pharma and
private-sector companies.
What projects are
being offered?
A total of six projects are available in this round:
Project:
ML-guided fragment-based antibiotic discovery for Mycobacterium tuberculosis
Registered in:
University of Cambridge
Primary supervisor:
Professor Andres Floto email: arf27@cam.ac.uk.
Co-supervisor: Dr Josie Bryant
Collaborators:
Professor Chris Schofield (University of Oxford), Professor
David Spring (University of Cambridge)
Project: Using
cutting-edge biophysics to combat antimicrobial resistance
Registered in:
University of Oxford
Primary supervisor:
Professor Chris Schofield email: christopher.schofield@chem.ox.ac.uk.
Co-supervisor: Professor Fernanda Duarte
Collaborators:
Professor David Spring, Professor Tuomas Knowles, Professor
Andres Floto (University of Cambridge) and Professor Tim Walsh (University of
Oxford)
Project:
Structure-based design of new antibiotics
Registered in:
University of Oxford
Primary supervisor:
Professor Chris
Schofield email: christopher.schofield@chem.ox.ac.uk.
Co-supervisor:
Professor Fernanda Duarte
Collaborators:
Professor David Spring, Professor Tuomas Knowles, Professor
Andres Floto (University of Cambridge) and Professor Tim Walsh (University of
Oxford)
Project: Next
generation screening platforms for antimicrobial discovery
Registered in:
University of Cambridge
Primary supervisor:
Professor Tuomas Knowles email: tpjk2@cam.ac.uk
Collaborators:
Professor David Spring, Professor Andres Floto (University
of Cambridge), Professor Chris Schofield (University of Oxford)
Project:
Understanding the impact of antibiotics on the neonatal/infant microbiome and
growth development in LMICs
Registered in:
University of Oxford
Primary supervisor:
Professor Tim Walsh
email: timothy.walsh@zoo.ox.ac.uk.
Co-supervisor: Dr Kirsty Sands
Collaborators:
Professor Julian Parkhill (University of Cambridge)
Project:
Identification of novel antibiotic resistance mechanisms in Klebsiella
pneumoniae using machine learning
Registered in:
University of Cambridge
Primary supervisor:
Professor Julian Parkhill email: jp369@cam.ac.uk
Co-supervisor: Dr Caitlin Collins
Collaborators:
Professor Tim Walsh
(University of Oxford)
How to APPLY:
Step 1: Make initial contact with the primary supervisor of the
project you are interested in. Emails details are shown in the project
description above.
Step 2: The supervisors will provide further information about the
projects and advice on how to submit a formal application to the correct course
via the relevant University’s application portal.
If you have any questions about
the application process, please contact Joyce Nzekwu: joyce.nzekwu@ineosoxford.ox.ac.uk
Application Deadline:
30 June 2022 at 11:59pm GMT.
Start Date:
October 2022.
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