Postdoctoral Research Associate

About Us:

The appointee will join the School of Biomedical Engineering & Imaging Sciences, and the Department of Neuroimaging within the School of Neuroscience. The Departments are highly collaborative and comprise of teams of clinical and scientific researchers investigating diseases using multimodal imaging.

About the role:

The research associate will join an early-stage translational medical research project, combining artificial intelligence (AI) and portable ultra-low-field magnetic resonance imaging (MRI). Specifically, the project aims to develop and analytically validate an AI tool for automatic triaging of portable ultra-low-field MRI brain scans of adult patients into "normal" and "abnormal" for the purposes of triage.

The role will involve acquisition and analysis of MRI data, as well as development of AI models. The post requires a skilled data scientist with expertise in deep learning as applied to computer vision, particularly in the context of medical imaging. Some clinical experience is desirable, including interaction with patients.

This is a full-time post, and you will be offered a fixed term contract for 18 months.

About you:

To be successful in this role, we are looking for candidates to have the following skills and experience:
This post is subject to Disclosure and Barring Service and/or Occupational Health clearances.

Essential criteria

1. PhD qualified in relevant subject area (or pending results)* 
2. Excellent computer programming abilities evidenced by available code  
3. Excellent verbal and written communication skills  
4. Ability to work well as an effective member of a multidisciplinary team and to share and encourage good practice  
5. The ability to take individual responsibility for planning and undertaking own work, according to clinical and scientific deadlines  
6. Presenting scientific research in the form of papers, posters or oral presentations  
7. Understanding of the concepts and application of research ethics

Desirable criteria

1. Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow  
2. Expertise working with large magnetic resonance (neuro)imaging datasets  
3. Experience with the use of computing servers  
4. Clinical experience, e.g., interaction with or handling of patients 

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. 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 ‘How we Recruit’ pages.

We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK.

This post is subject to Disclosure and Barring Service and/or Occupational Health clearances.

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