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Research Associate – AI in Cardiovascular Imaging
School of Computing & Engineering
Location:
St Mary's Road
Salary:
Research A £25,582 - £31,220
Research B £32,800 - £47,014
Release Date:
Tuesday 30 July 2024
Closing Date:
Tuesday 27 August 2024
Interview Date:
To be confirmed
Reference:
COMP0068
The University of West London (UWL) is ranked the best modern* university (non-specialist) in London in the Complete University Guide 2023.
We are the top University in the UK for Student Experience and for Teaching Quality in the Times and Sunday Times Complete University Guide 2024 and University of the Year for Social Inclusion in the Daily Mail University Guide 2024.
The UWL community is a diverse body of students and staff who work together to create an environment of success and achievement. We celebrate the diversity of our staff and promote our values in practice through our commitment to inclusivity, progression, and success.
*University status awarded in or after 1992.
The School
The School of Computing and Engineering is a dynamic and forward looking School with high quality teaching, student experience and research informed teaching at the top of its priority list. The School has strong links with local, national and international partners and employability of graduates is the key to courses that we offer. The School enjoys state-of-the-art equipment and continues to invest heavily in its improvement. We offer a number of courses fully accredited by relevant professional bodies across the board.
The Role
The post is funded by the British Heart Foundation Research Programme for 3.5 years. As Research Associate, you will carry out and plan a high quality programme of research in Artificial Intelligence tools applied in cardiac imaging.
You will work alongside a team of cardiologists from Imperial College London and physiologists from 21 Hospitals in the UK, and computer scientists within the Intelligent Sensing and Vision Research Group (https://intsav.github.io) to develop AI techniques applied to cardiac image processing. The main aim of this cross-disciplinary project is to develop a AI-assisted fully-automated novel medical technology to be used by cardiologists to assess cardiac function. To this end, a combination of engineering expertise (parallel programming, medical image acquisition and processing), computer science (AI algorithm development, statistics), and clinical experience (cardiology, echocardiography) will be used.
You will also be expected to contribute to the teaching & leaning activities of the MSc Artificial Intelligence, offered by the research group within the School of Computing and Engineering.
The Person
Candidates should have demonstrable experience in AI and Deep Learning developments. Experience in ultrasound and/or medical imaging is desirable. The successful candidate is expected to disseminate their research through presenting at scientific conferences, publishing in peer-reviewed journals, and providing open-source software tools. Candidates should have strong written and oral presentation skills.
In addition to the online application form, you should submit a full academic CV with a list of your recent publications.
How to Apply
To apply click on ‘Apply Online’ and fill out the application form. Further information about the application process can be found here: https://jobs.uwl.ac.uk/display.aspx?id=1253&pid=0
Please email hr.recruitment@uwl.ac.uk if you need any assistance with the application process.
Interviews are expected to be held in the week commencing Monday 9th September 2024.
For informal enquiries about the position please contact Professor Massoud Zolgharni, Massoud.zolgharni@uwl.ac.uk.
Additional Information
Read more about working at the University of West London at https://www.uwl.ac.uk/about-us/how-university-works/why-work-uwl
UWL is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter, and is a Disability Confident Employer as well as a Diversity Champion for Stonewall, the leading LGBT+ rights organisation. We welcome applications from all sections of the community to increase diversity in our workforce.
Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.
Please be advised that it is expected that appointment within a grade will normally be at the minimum point.
We will intermittently review the applications as part of this open advert, therefore if successful, you will be shortlisted and contacted at any time.
The University of West London reserves the right to close the role prior to this date should a suitable applicant be found.
Further details: