Postdoctoral Research Associate in Machine Learning applied to Neuroimaging

About You

We are seeking candidates with expertise in multi-modal deep learning to support the development of MRI foundation models that integrate imaging data and radiology reports for downstream clinical applications. ### Essential Criteria 1. PhD qualified in relevant subject area (or pending results/near completion)
2. Experience applying multi-modal models specifically in medical or clinical domains. 3. Strong knowledge of MRI data formats (DICOM, NIfTI) and image preprocessing tools (e.g., MONAI, SimpleITK). 4. Excellent programming skills, demonstrated through available code or projects, with proficiency in Python and deep learning frameworks like PyTorch, Hugging Face, sklearn, tensorflow. 5. Excellent verbal and written communication skills 6. Experience with GPU training and handling large medical datasets e.g., large magnetic resonance (neuro)imaging datasets. 7. Basic understanding of radiology clinical workflows and radiology report structure. 8. The ability to take individual responsibility for planning and undertaking own work, according to clinical and scientific deadlines 9. Presenting scientific research in the form of papers, posters or oral presentations 10. Understanding of the concepts and application of research ethics 11. Experience with the use of computing servers Desirable Criteria 1. Experience fine-tuning large language models (e.g., BERT, BioGPT, MedPaLM) for clinical NLP tasks.
2. Experience with cloud or distributed computing environments. 3. Familiarity with self-supervised and contrastive learning techniques for aligning text and images (e.g., CLIP, SimCLR).
4. Clinical experience, e.g., interaction with clinicians and/or handling of patients 5. Familiarity with MLOps tools such as MLflow or Weights & Biases for experiment tracking. 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 next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6. # 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.