King's College London
Job title:
Post-Doctoral Research Associate in Cardiovascular Virtual Twins II
Company
King’s College London
Job description
Job Information Organisation/CompanyKINGS COLLEGE LONDON Research FieldEngineeringComputer scienceMathematicsPhysics Researcher ProfileRecognised Researcher (R2)Established Researcher (R3) CountryUnited Kingdom Application Deadline27 Oct 2024 – 00:00 (UTC) Type of ContractOther Job StatusFull-time Is the job funded through the EU Research Framework Programme?Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?NoOffer DescriptionAbout usA post-doctoral research associate position is available at King’s College London (KCL), funded by the European Commission Horizon 2023 project Virtual Twins as tools for Personalised Clinical Care (VITAL) ( ). KCL, a world-leading research university over 200 years of heritage, is participating in VITAL by engaging the School of Biomedical Engineering & Imaging Sciences, a cutting-edge research and teaching institution located in St Thomas’ Hospital. The school is dedicated to the development, clinical translation, and clinical application of medical imaging and computational modelling technologies.KCL’s contribution to VITAL will primarily focus on the computational modelling work packages of the project, leveraging our expertise in reduced-order blood flow modelling ( ) and haemodynamic signal analysis ( ), and the creation and testing of large-scale in silico pulse wave datasets ( ).About the roleThe post holder will contribute to the development and clinical validation of the VITAL digital twins for personalised cardiovascular care. These advanced models aim to predict disease progression and optimise patient management strategies, surpassing current clinical standards. VITAL’s virtual twins will be used to study four complex circulation overload disorders – systemic hypertension, heart failure, and hemodynamically complicated atrial septal defects – examining the interplay between cardiac and vascular function, renal and hormonal influences, and various environmental and genetic factors. The technology, developed with input from healthcare professionals, will be validated in over 200 patients across five clinical studies in France and the UK.The post-holder will contribute to the personalisation of the virtual twins by developing pipelines (including machine learning models) for structural and functional personalisation and creating virtual patient cohorts for each circulation overload disorder to preclinically validate the virtual human twins. The role involves close collaboration with modelling experts from the Universities of Auckland, MaastrichtDelft, EPFL, and other industrial and clinical partners. The codes developed by VITAL will be linked to EDITH, an ecosystem for digital twins in healthcare. The post-holder will work under the supervision of Professor Philip Chowienczyk (clinical advisor), and Drs Peter Charlton (machine learning advisor) and Jordi Alastruey (modelling advisor), with the expectation to publish in high-impact journals and present findings at international conferences.This is a full-time post (100% full time equivalent), and you will be offered a fixed term contract for 2.5 years.About youTo be successful in this role, we are looking for candidates to have the following skills and experience:Essential criteria * PhD awarded, or near completion*, in biomedical engineering, physics, mathematics, computer science, or a related subject.
- First or second class honors degree in biomedical engineering, physics, mathematics, computer science, or a related subject.
- Advanced programming skills in Python, Matlab or C++, as well as machine learning/deep learning frameworks such as Pytorch or Tensorflow
- Good writing and presentation skills.
- A solid research background in a relevant field, supported by published peer-reviewed work.
- Ability to work independently and as part of a team.
- Ability to work and communicate effectively with people from a wide range of disciplines and organisations.
- An enthusiastic attitude and scientific approach to solving research problems.
Desirable criteria * Knowledge of cardiovascular physiology
- Knowledge of signal and image processing techniques
- Experience with student supervision
- Experience in multidisciplinary research
- Evidence of leading own initiatives/projects
Downloading a copy of our Job DescriptionFull details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.Further informationWe pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King’s.We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.To find out how our managers will review your application, please take a look at our ‘ ‘ pages.Interviews are due to be held on October/November 2024.We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK.Where to apply WebsiteRequirementsAdditional InformationWork Location(s)Number of offers available 1 Company/Institute KINGS COLLEGE LONDON Country United Kingdom City London (Central) GeofieldContact CityLondon (Central)STATUS: EXPIREDShare this page
Expected salary
Location
London
Job date
Tue, 01 Oct 2024 05:24:34 GMT
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