Salary £45,791 to £50,855 per annum (Incl. LWA) pro rata
Department/School Liberal Arts and Sciences
Location Central London
This post is full time, 35 days per week and is fixed term until November 2025.
We are looking to recruit a Research Fellow to join the Research Centre for Optimal Health in the School of Life Sciences at the University of Westminster to work on a research project funded by a life science Company.
Our ongoing research project focuses on the development and application of novel image processing techniques (segmentation, registration, statistical shape modelling) to extensive collections of MRI data to create novel biomarkers.
The work will involve developing algorithms to investigate health using these biomarkers. In this role you will be responsible for applying quantitative biomarkers from the imaging and healthcare datasets, supporting our research and development effort, and contributing to scientific publications and the success of our projects.
The successful candidate must be highly motivated and have an advanced degree in computer science, electrical or biomedical engineering, physics, statistics, or related fields. Previous experience with research focusing on biomedical signal processing, medical image computing, and machine learning is advantageous but not required. Previous experience with magnetic resonance imaging is also preferred. The ideal candidate should have experience in computational and statistical programming languages. Experience with developing image-processing tools using the ITK/VTK environment or similar open-source software is a plus. Experience with distributed computing environments and cloud-based systems is also a plus.
To apply for this vacancy please click above. Further information can be found in the job description and person specification, which can be accessed through link below.
At the University of Westminster, diversity, inclusion and equality of opportunity are at the core of how we engage with students, colleagues, applicants, visitors and all our stakeholders.
We are fully committed to enabling a supportive and safe learning and working environment which is equitable, diverse and inclusive, is based on mutual respect and trust, and in which harassment and discrimination are neither tolerated nor acceptable.
The University has adopted Smart Working principles to support and further our Equality, Diversity and Inclusion aims of being an inclusive, collaborative and flexible employer. Further details of Smart Working can be discussed at interview stage.
Closing date: midnight on 30 November 2023
Interviews are likely to be held on: w/c 04 December 2023
Administrative contact (for queries only):[email protected]JOB DESCRIPTION AND PERSON SPECIFICATION