PhD Studentship/Marie Sklodowska-Curie Innovative Training Network ESR Fellowship

Employer
The University of Oxford, Department of Computer Science
Location
Other
Posted
September 25 2017
Position Type
Full Time
Organization Type
Academia

PhD Studentship/Marie Sklodowska-Curie Innovative Training Network ESR Fellowship


Department of Computer Science, Wolfson Building, Parks Road, Oxford, OX1 3QD


 


We invite applications for a Marie Sklodowska-Curie ITN Early Stage Researcher (MSC-ESR) Fellowship, tenable for 3 years at Oxford University, to start before the 1st of February 2018. The MSC-ESR Fellow will work with Professor Blanca Rodriguez on Personalised In-Silico Cardiology (PIC). The candidate will work within the Computational Cardiovascular Science team (www.cs.ox.ac.uk/ccs) to investigate why and how medicines cause cardiotoxicity in healthy people and in people with cardiac disease. This will be done by building computational models of human electromechanical activity based on clinical data for different patient cohorts. We will then simulate and investigate the mechanisms underlying the effect of drugs on hearts with different disease conditions, in close collaboration with industrial, clinical and regulatory agency partners. The candidate will aim to improve our understanding and prediction of cardiotoxicity, which is of huge interest for society, industry and regulatory bodies.


 


This work is part of the bigger project, PIC, that will educate young researchers (biomedical engineers) to become international experts in key areas of medical technology through a coordinated plan of individual research projects addressing specific topics. Multi-disciplinary dialogue and work between clinicians and biomedical engineers is crucial to address the challenges in this emerging field. By providing researchers with knowledge and training from specific topics in technology, computational biology, biomedical engineering, research methodologies, innovation and entrepreneurship, the link between academic research and industry will be strengthened. For more information of the PIC-project see: http://picnet.eu.


 


The Fellowship is offered in conjunction with a PhD position at the University of Oxford, and will be subject to the Fellow satisfying the University's admissions requirements for PhD study. The EC funding for this position provides for a remuneration starting from £31,377 pa, actual salary will depend on employer deductions, personal circumstances and the exchange rate applicable to the fellowship. This amount includes an annual living allowance and a mobility allowance (to cover the expenses associated with working in a different country). Under the terms of the EC funding, which aims to promote mobility within the research community, to be eligible for the post you must not have been resident in the UK for more than a total of 12 months in the past three years up to the start date. Persons who would have obtained a doctorate or had more than 4 year's full time research experience at the start date are ineligible.


 


The Job Description for the post can be obtained from recruitmentenquiries@cs.ox.ac.uk. An application should include a current CV, transcripts giving evidence of degree qualifications and familiarity with programming language(s), high performance computing, multi-scale mathematical modelling, together with the names and contact details of three referees.


 


Candidates should apply online by following this link: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_details_form.jobspec?p_id=131176


 


Candidates will need to make a second online application for the DPhil in Computer Science by


clicking on this link: Graduate Admissions application. Candidates must satisfy the usual requirements for studying for a doctorate at Oxford. For further details on the University's DPhil in Computer Science which gives details about entry requirements, please click here: http://www.ox.ac.uk/admissions/graduate/courses/dphil-computer-science


 


Fixed term: the funds for this post are available for 3 years.


 


The closing dates for applications is noon on 23 October 2017.



This job comes from a partnership with Science Magazine and Euraxess