Research Associate in Deep Learning and Biomedical Image Analysis at King’s College London

Location: Waterloo Campus

Contact details: Dr Heba Sailem. heba.sailem@kcl.ac.uk

Job description

We are seeking a highly motivated and skilled Research Associate to join our team and contribute to cutting-edge research in computational pathology and biomedical image analysis. As a member of our team, you will be responsible for developing and implementing advanced deep learning techniques for classifying and segmenting multi-modal microscopy and spatial tissue image data. 

The candidate should have strong background in deep learning and/or biomedical image analysis algorithm development and interest to employ such techniques to advanced applications in biology, drug development and precision medicine. The specific research project requires expertise in modern deep learning methods including graph neural networks, transformers, or recurrent neural networks. Experience in integration of disparate data types and data warehousing is desirable.  

This post may appeal to candidates with background in computer science or engineering interested in now developing skills and experience in biomedical research. Candidates with good experience in machine learning, bioinformatics, database management, and visualisation techniques will also be considered. The successful candidate will be joining a new group and thus this position provides an opportunity for the right candidate to be part of an exciting new venture. 

This is a highly collaborative project with several institutions including Oxford University, Cambridge University, and UCL.  

This post will be offered on an a fixed-term contract for 2 years with the potential to be extended