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UCL Mechanical Engineering
Faculty of Engineering Sciences

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PhD Studentship: Modelling and Simulation Tools for Aortic Dissection Treatment

PhD Studentship: Modelling and Simulation Tools for Aortic Dissection Treatment

UCL Department:
UCL Mechanical Engineering
Duration of Studentship:
Three Years
Stipend:
£16,777 per annum
Closing Date:
31 January 2018 23:59
Studentship start date:
ASAP
More information on the studentship:
UCL Human Resources website

Studentship Description

A 3-year funded position is available in the Multiscale Cardiovascular Engineering group (www.ucl.ac.uk/muse) as part of ‘The Vascular Hub’ at UCL.

Project Aims

To develop tools for the pre & post-operative in-silico planning and treatment for Aortic Dissections. This project will be an exemplar application that will provide a blueprint and proof of concept for the use of in-silico tools in the personalised management of aortic diseases in general (applicable also to other pathologies).  The clinical impact and viability of these technologies will be tested via our partner Hospitals in the UK and Europe.  These models will be validated using a sophisticated experimental setup available (including PIV) within the group.

Expected Results:

  • A patient-specific simulation framework delivering simulation of Aortic Dissections
  • Proof-of-concept of the use of these technologies in the clinic
  • Proof of feasibility of the use of these models in surgical planning
  • Validated set of results using a patient-specific physical platform.

Person Specification

Knowledge, Education, Qualifications and Training

Essential: MSc or equivalent in Biomedical Engineering, Mechanical Engineering, Aeronautical Engineering, Physics, Applied Mathematics or a related subject.

Experience

  • Essential: Strong background in biomedical engineering, mechanical engineering, aeronautical engineering, physics, applied mathematics; in particular, strong knowledge of how to derive and manipulate differential equations
  • Essential: Excellent programming skills in any of the following languages: C, C++, FORTRAN, Matlab, Octave or Python
  • Essential: Experience in CFD.
  • Essential: Good oral written and presentation skills.
  • Essential: Well-organised, attention to detail and ability to meet deadlines.
  • Essential: Ability to think logically, create solutions and make informed decisions.
  • Desirable: Experience with dynamical systems
  • Desirable: Excellent IT skills.
  • Desirable: Experience with image processing software, such as MIMICS or ScanIP

Skills and/or Abilities

  • Essential: Fluency and clarity in spoken English.
  • Essential: Good written English.
  • Essential: Independence and ability to work collaboratively as part of a team

About UCL

UCL is one of the UK’s premier universities. It is a world-class research and teaching institution based in London whose staff and former students have included 19 Nobel Prize winners. Founded in 1826, it was the only university in England at that time which admitted students regardless of race or religion. UCL was also the first to admit women on equal terms with men. Today UCL is a friendly university in which to work and study and it continues to thrive on the diversity and creativity of its community.

UCL is in practice a university in its own right, although constitutionally a college within the federal University of London. With an annual turnover around £1 billion, it is financially and managerially independent of the University of London. UCL is the top-rated university in the UK for research strength (Research Excellence Framework 2014), by a measure of average research score multiplied by staff numbers submitted.

UCL has 983 professors and more than 6,000 academic and research staff who are dedicated to research and teaching of the highest standards. Our academic community includes 53 Fellows of the Royal Society, 51 Fellows of the British Academy, 15 Fellows of the Royal Academy of Engineering and 117 Fellows of the Academy of Medical Sciences. Nobel Prizes have been awarded to 29 people who are or where students or academics at UCL. The most recent addition, in 2014, is John O’Keefe (Medicine). 11 UCL Honorary Graduates and Fellows have also been awarded Nobel Prizes. 52% of the nearly 36,000- strong student community is engaged in graduate studies, with nearly a third of these graduate students pursuing research degrees. Students from 150 countries study at UCL, making up more than one-third of the student body.

Within UCL, the host group (MUSE; www.ucl.ac.uk/muse) focuses on multiscale modelling in the cardiovascular field.  The group is undergoing expansion and it has strong links with excellent hospitals as well as UK and international research partners.  The group is proud to host a number of researchers who are passionate about cardiovascular modelling and produce state-of-the-art research results.  The group has an excellent track record of training and offers high quality research support and supervision and an equally friendly and technically challenging research environment.

Eligibility

This funding is available for UK and EU passport holders. International students may apply, however, fees will be capped at UK/EU level (students will be required to pay the difference in fees).  There is no minimum qualifying residence requirement for applicants from the EU. We actively encourage the application of female applicants for this position. Please DO NOT enquire about this studentship if you are ineligible.  Please refer to the following website for eligibility criteria: http://www.ucl.ac.uk/prospectivestudents/graduate/research/degrees/mechanical-engineering-mphil-phd

Closing Date and Start Date

We will be continuously having informal discussion with interested candidates until this position is filled. The studentship preferred start date is October/November 2018.

Value of award

Full tuition fees and tax free stipend of £16,777 per annum (for 3 years).

Application Procedure

Eligible applicants should contact Dr Vanessa Diaz (v.diaz@ucl.ac.uk) quoting the job reference number. Please forward a CV (including at least two referees), a covering letter and a transcript of results (listing all subjects taken and their corresponding grades/marks) to Dr Diaz (v.diaz@ucl.ac.uk).The supervisory team will arrange interviews for short-listed candidates. After interview, the successful candidate will be required to formally apply online via the UCL website.  Regrettably, we are only able to contact candidates who are successful at the shortlisting stage. Thank you for your interest in this position.

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