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Antimicrobial Resistance Research

Medical Research Foundation 4-year National PhD Training Programme in Antimicrobial Resistance Research

at Bristol | Dundee | Exeter | Exeter Penryn Campus | Imperial College London | Leeds | LSHTM | Nottingham | Nuffield Dept. of Medicine, Oxford | Warwick

Co-funded Medical Research Foundation PhD studentships available for entry in Autumn 2019

The Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance (AMR) Research is the first nationwide PhD training programme to tackle AMR – one of the greatest emerging threats to global human health.

Applications are invited for 12 fully-funded 4-year PhD studentships available to commence in September/October 2019.

The 12 PhD studentships are available for excellent candidates interested in researching the problem of AMR in a cross-disciplinary manner, with backgrounds in either the social sciences, humanities, life sciences, biomedical, clinical and veterinary sciences, physical sciences and engineering.

Twelve UKRI-funded interdisciplinary AMR research consortia are hosting the studentships offered by this Programme. These are led by 1) the University of Bristol (2 studentships); 2) University of Dundee; 3) University of Exeter (two consortia/2 studentships); 4) Imperial College London; 5) University of Leeds; 6) London School of Hygiene and Tropical Medicine (two consortia co-funding 1 studentship); 7) University of Nottingham; 8) Nuffield Department of Medicine, University of Oxford (two consortia/2 studentships); and 9) the University of Warwick.

For all details and additional information on this Training Programme, please see the Medical Research Foundation National PhD Training Programme in AMR Research website.

Key benefits of the National PhD Training Programme in AMR and value of the award

  • All PhD projects will be based within interdisciplinary research consortia funded by the UKRI Cross-Council AMR Initiative.
  • PhD students will be fully funded for 4-years at the MRC stipend ‘plus’ rate (£17,000 in 2019-20 increasing to £18,500 in Year 4, tax free) plus research costs and a flexible travel allowance. University annual tuition fees at the Home/EU rate (including Oxford college fees and London weighting, where appropriate)
  • All students will have access to enhanced training opportunities including residential skills and training courses, cohort-building activities, and annual conferences. All are designed to expose students to a range of discipline-specific languages and interdisciplinary research skills, which are essential for enabling them to thrive as multidisciplinary AMR researchers.
  • PhD students will undertake a fully-funded 3-month interdisciplinary AMR project allowing them to work outside of their primary research area or an elective placement in industry, publishing, media, policy development or in AMR-relevant charities and organisations.
  • All Medical Research Foundation-funded PhD students will also be part of a wider cohort of 150 PhD students from across the UK who are also studying AMR. The cohort will have access to a bespoke, innovative online learning environment, which will facilitate peer-to-peer networking, question setting and mentoring and an opportunity to meet all members at annual conferences.

Funding & Eligibility

Applicants must ensure that they meet the eligibility requirements of the institution they are applying to. Please check the relevant university’s postgraduate admissions website.

To qualify for Home tuition fee status, you must be a UK or EU citizen who has been resident for 3 years prior to commencement. Please note that overseas students not eligible for Home (UK/EU/EEA citizens) tuition fee status will be eligible for funding through this Programme but the student must pay the difference between the annual Home tuition fee and the tuition fees required for overseas students. Overseas students should be able to demonstrate adequate financial support to cover the difference between the Home/EU fee and the overseas fee.

Please check the FAQs page on the website for answers to other questions you may have.

How to Apply

Please apply directly to the institute offering the studentship using the weblink provided in the project description. Please direct informal enquiries about research projects to the supervisor. For all assistance with admission processes, please contact the Postgraduate Admissions team at the relevant institution. For any other queries, please contact the Medical Research Foundation National PhD Training Programme in AMR Manager at [email protected]

Deadline for Applications

31st March 2019

Selection process

Shortlisted applicants will be interviewed by an academic panel from the AMR research consortium hosting the project(s) you have applied for.

Projects and AMR Themes

AMR Theme 1: Understanding resistant bacteria

University of Warwick (SWON ALLIANCE consortium)

Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research: Next Generation Inhibitors to Tackle Penicillin ResistanceDetails

AMR Theme 2: Accelerating therapeutics and diagnostics

University of Leeds (RID [email protected] consortium)

Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research: Tackling Antimicrobial Resistance through Non-Invasive DiagnosticsDetails

AMR Theme 3: Understanding the real-world interactions

University of Bristol (OH STAR consortium)

Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research: Predicting empiric antimicrobial prescribing from local surveillance of active and potential antimicrobial resistance mechanismsDetails
Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research: Reducing Antibiotic Resistance on Dairy FarmsDetails
Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research: Trade-offs between beta-lactam/beta-lactamase inhibitor resistance and fitness in enteric bacteriaDetails

University of Exeter (Penryn Campus, Cornwall) (CHICKEN or the EGG consortium)

Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research: Linking Restoration of Natural Capital to Reduction in Selection for and Dissemination of AMR in Aquatic SystemsDetails

Nuffield Dept. Medicine, University of Oxford (REHAB consortium)

Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research: Genomics and Metagenomics of Animal, Environmental and Human Samples to Understand Resistance Gene Transmission Amongst Enterobacteriaceae in OxfordshireDetails

University of Nottingham (EVAL-FARMS consortium)

Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research: Modelling the Risks of AMR from Agricultural Waste to Animal and Human HealthDetails

AMR Theme 4: Behaviour within and beyond the healthcare setting

University of Dundee (ARCH consortium)

Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research: Elucidating E. coli Bacteraemia Resistance, Risk Factors and Outcomes: Linking Bacterial Genomics, Case Note Review and Health InformaticsDetails

University of Exeter (DIAL consortium)

Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research: Herd Health Planning and the Management of Antimicrobials in Livestock SystemsDetails

Imperial College (ASPIRES consortium)

Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research: Analysis and Prediction of Carbapenem-Resistance in Healthcare-Associated InfectionsDetails

London School of Hygiene and Tropical Medicine (AMIS and UMOYA OMUHLE consortia)

Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research: Promoting Use and Non-Use: Medicines for TB and other Bacteria in an Era of AMRDetails

Nuffield Dept. Medicine, University of Oxford (STEP UP consortium)

Medical Research Foundation National PhD Training Programme in Antimicrobial Resistance Research: Using Machine Learning and Statistical Prediction Models to Improve Empirical Antibiotic PrescribingDetails

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