Research Fellow

Job title:

Research Fellow

Company

University College London

Job description

About us We are looking for an enthusiastic Postdoctoral Researcher to support our work in Rapid Magnetic Resonance Imaging with a particular focus on Fetal imaging. Our group has vast experience in development of rapid MRI techniques and on-line reconstructions in paediatric and adult populations. Importantly, our group has significant experience and a proven track record of translating new technologies into real world clinical practice. This post-holder will build on these tools, to develop novel real-time imaging techniques with rapid reconstruction both in 2D and 3D.About the role The post-holder will focus on the development of novel rapid imaging techniques. In particular, leveraging machine learning (ML) to aid optimisation of acquisition strategies, perform motion correction, enable low-latency reconstructions, and/or perform rapid online post-processing tools for Fetal imaging. The successful applicant will join a multi-disciplinary group of academics across UCL, with very close clinical links to one of the world-leading Fetal MRI services at UCLH Elizabet Garrett hospital. Our research group are leaders in the use of machine learning (ML) for reconstruction of MRI data, particularly in the field of low-latency imaging. This work will build on these tools to enable rapid visualisation and processing of Fetal images using ML, on the scanner in a clinical setting.About you The successful candidate will be expected to have excellent computational skills and to integrate with an enthusiastic multidisciplinary group of people with the aim of translating these techniques into the clinical arena. Therefore, the candidate is expected to have completed Ph.D. in physics, engineering or equivalent. Experience with MR physics, pulse sequences, image reconstruction, machine learning, or image post-processing are highly desired. The position allows for the unique combination of theoretical and practical aspects with the perspective of a fast and broad translation of the developed methodology in the clinical environment.The appointee will have a PhD or equivalent experience. If working towards a PhD, they can be close to completion of this degree. If a PhD is not yet awarded at the start date, appointment will be at Research Assistant grade 6B £37,332 – £39,980 per annum (including London Allowance of £5,000 per annum), with payment at grade 7 backdated to the date of submission of the final PhD thesis.This post if funded for up to 15 months depending on salary in the first instance.What we offer • 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)

• Additional 5 days’ annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Immigration loan
• Relocation scheme for certain posts
• On-Site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance

Visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more.Our commitment to Equality, Diversity and Inclusion As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. Athena Swan Status StatementsOur Institute holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.Available documents

Expected salary

£37332 – 39980 per year

Location

North West London

Job date

Fri, 03 May 2024 03:54:30 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (globalvacancies.org) you saw this job posting.