QMUL Research Assistant Position in AI for Healthcare 2026
I am looking to recruit a Research Assistant to join my research group at Queen Mary University of London for one year, with the possibility of extension for up to a further three years.
About the Role
The postholder will undertake research at the intersection of Multimodal AI and Healthcare, contributing to the development and evaluation of advanced AI methodologies for clinical decision support. The role will involve designing and implementing machine learning and deep learning models (including LLMs/VLMs and foundation models), working with large-scale clinical data, conducting experimental evaluation and validation, developing research software and contributing to high-quality publications in leading international venues.
About You
Candidates must have an Undergraduate Degree (or equivalent) in Computer Science or related topic. A PhD degree in AI or a related topic is desirable. The successful candidate must possess expertise in Machine Learning, or Deep Learning, or Multimodal AI, or Foundation Models, or related AI methodologies. The successful candidate must have a good understanding of machine learning algorithms, deep neural networks, model evaluation and validation, experimental design and the development of AI systems.
About the School of EECS
As a multidisciplinary School, we are known for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our Electronic Engineering research output (REF 2021).
We offer high-quality education to students from diverse backgrounds that leads them to achieve great career outcomes. Our Computing courses were recognised by a recent report from the Institute of Fiscal Studies as top in the country for social mobility.
We welcome staff from diverse backgrounds and are keen to reduce the gender gap, whilst providing a positive and flexible working environment for everyone.
About Queen Mary
Throughout our history, we’ve fostered social justice and improved lives through academic excellence and we embrace diversity of thought in everything we do. We believe that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
Benefits
We offer competitive salaries, pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we have a range of work-life balance and family friendly, inclusive employment policies, as well as flexible working arrangements.
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We have policies to support our staff throughout their careers, including arrangements for those who wish to work flexibly or on a job share basis, and we provide support for those returning from long-term absence. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave.
How to apply
Please send your CV in a single email to Dr. Dimitrios Kollias at d.kollias@qmul.ac.uk
Contact email
d.kollias@qmul.ac.uk