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Position: PhD: Data driven tools for hemodynamic virtual prototyping
Institution: University College London
Department: Department of Mechanical Engineering - Department of Mechanical Engineering
Location: London, United Kingdom
Duties: The PhD studentship is funded by the Department of Mechanical Engineering as part of the EPSRC Transformative Healthcare Technologies grant PIONEER, an exciting collaboration between UCL Mechanical Engineering, WEISS, Royal Free Hospital and Imperial College London. This is a truly groundbreaking opportunity for a PhD student that will combine fluid mechanics modelling and diagnostics, bioengineering and medical imaging to advance hemodynamic modelling and transform clinical practice
Requirements: MSc or equivalent in Biomedical Engineering, Mechanical Engineering, Aeronautical Engineering, Physics, Applied Mathematics or a related subject. Strong background in biomedical engineering, mechanical engineering, aeronautical engineering, physics, applied mathematics; in particular, strong fluid mechanics knowledge. Excellent programming skills in any of the following languages: C, C++, FORTRAN, Matlab, Octave or Python
   
Text: PhD: Data driven tools for hemodynamic virtual prototyping, - Ref:1879646 Click here to go back to search results Apply Now UCL Department / Division Department of Mechanical Engineering Specific unit / Sub department Department of Mechanical Engineering Location of position London Duration of Studentship 3.5 years Stipend £17,609 per annum UK/EU fees Vacancy Information Cardiovascular disease (CVD) is the leading cause of death worldwide. Thousands of complex and life-saving vascular interventions are performed annually, relying on the superb skills and expertise of vascular surgeons and medical imaging data. However, patient specific hemodynamic information that can guide intervention decision making is often not readily available in routine clinical data. A new EPSRC-funded project -PIONEER- aims to engineer the most sophisticated, physics-driven modelling and simulation platform to extract, fuse, and enhance -in real-time- accurate spatiotemporal hemodynamic information from routinely used vascular imaging data. This will be done by fusing traditional CFD approaches, experimental flow diagnostics, reduced-order modelling (ROMs), medical imaging, and state of the art data assimilation. The tools developed by PIONEER will enable haemodynamic virtual prototyping of personalised cardiovascular interventions and tailoring of cardiovascular devices, transforming thus cardiovascular medical diagnosis and intervention planning towards precision vascular surgery. Studentship Description An exciting 3.5-year funded PhD position is available as part of a longstanding collaboration between the Multiscale Cardiovascular Engineering, MUSE ( www.ucl.ac.uk/muse ) and Fluid Mechanics, FluME ( https://wp.cs.ucl.ac.uk/flume/) groups . The PhD studentship is funded by the Department of Mechanical Engineering as part of the EPSRC Transformative Healthcare Technologies grant PIONEER, an exciting collaboration between UCL Mechanical Engineering, WEISS, Royal Free Hospital and Imperial College London. This is a truly groundbreaking opportunity for a PhD student that will combine fluid mechanics modelling and diagnostics, bioengineering and medical imaging to advance hemodynamic modelling and transform clinical practice. This opportunity is open to UK /EU/ international students. If you want to make a difference in patients lives and build a career in the healthcare engineering field, this is for you! Person Specification 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 fluid mechanics knowledge. Essential: Excellent programming skills in any of the following languages: C, C++, FORTRAN, Matlab, Octave or Python Essential: Experience in CFD and/ or experimental flow diagnostics. Desirable: Experience with image processing software, experimental design methods and prototyping Skills and/or Abilities Essential: Analytical skills, ability to derive and manipulate differential equations Essential: Independence and ability to work collaboratively as part of a team 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. Eligibility Eligible applicants should first contact Prof Stavroula Balabani & Prof Vanessa Diaz quoting the job reference. Please enclose a one-page statement outlining suitability for the project and two pages CV (including contact details of two referees). The supervisory team will arrange interviews for short-listed candidates. After interview, the successful candidate will be given instructions to formally apply online via the UCL website. Contact name Stavroula Balabani & Vanessa Diaz Contact details s.balabani@ucl.ac.uk, v.diaz@ucl.ac.uk UCL Taking Action for Equality Closing Date 14 Nov 2021 Latest time for the submission of applications 23:59 Interview date 30th November 2021 Studentship Start Date January 2022 Apply Now
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