King's College London

THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY

About us

We are seeking a highly motivated and collaborative scientist to join our exciting brain imaging project at a key stage in the development of ultra-low-field (ULF) MRI. This global collaboration, UNITY (Ultra-low Field Neuroimaging in the Young), led by King’s College London, has the potential to make a huge positive impact on access to MRI across the world. 

The programme, funded by the Gates Foundation, is focused on the development of paediatric neuroimaging in challenging and resource-limited settings. It aims to visualise healthy brain development and assess the impact of risk factors such as maternal anaemia, malnutrition, and infection on early neurodevelopment.

About the role

You will work under the guidance of Dr Vasa and join a broad, multidisciplinary team specialising in multi-modal brain imaging. You will be part of a group that is developing and deploying state-of-the-art deep learning models for ULF image enhancement and analysis. Our models have shown state-of-the-art performance, and we are seeking a scientist to assist in the critical next phase of this work: making these models robust, reliable, and fair for real-world global deployment.

Your primary focus will be to move beyond simple performance metrics and tackle the challenges of model bias, uncertainty, and integration. This role is essential for ensuring our AI tools are equitable, interpretable, and ready for clinical and research use across the diverse developmental populations represented across the UNITY Programme. The post holder will be adept in the analysis and visualisation of complex multidimensional datasets, have excellent communication skills, and be able to work within strict deadlines.

This is a full-time post (35 hours per week) and you will be offered a fixed term contract until 31st May 2026.

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information.

About you

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

1. BSc, MSc or MRes qualification in relevant subject area 
2. Strong understanding of the foundations of deep learning 
3. Experience of tools for image enhancement and super-resolution 
4. Strong grasp of univariate and multivariate statistical analyses 
5. Strong programming skills (e.g., Python, R, Bash, Matlab).   
6. Familiar with version control systems (e.g., Git) for working collaboratively and managing workflow development  
7. Experience in the analysis of ultra-low-field brain imaging data 

Desirable criteria

1. Knowledge of paediatric neuroimaging 
2. Experience of writing an academic manuscript 

Downloading a copy of our Job Description

Full 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 page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

Further information

We 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.

As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

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 person specification section of the job description. 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 ‘ How we Recruit’ pages.

Interviews are due to be held in mid-December or early January