Postdoctoral Research Associate

Queen Mary University of London - School of Electronic Engineering and Computer Science

About the Role

This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr Changjae Oh, Dr Ziquan Liu, Prof Shaogang Gong. The objective of the postdoctoral research associate position is to investigate self-evolving AI models with Uncertainty-Aware Data Attribution.

About You

The successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to successfully disseminate the outcome through peer-reviewed publications. They will be highly motivated, demonstrate strong collaboration skills with other project members, and show a clear commitment to research excellence and ethical conduct.

About the School of EECS

Our researchers work with the arts and sciences collaborating with psychologists, biologists, musicians and actors, mathematicians, medical researchers, dentists and lawyers. As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are equal first in the UK for the impact of our Computer Science research, and second in the country for our Electronic Engineering research output (REF 2021).

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 offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.

The post is based at the Mile End Campus in London. It is full time (35 hours per week), fixed term appointment for 8 months, with an expected start date of June 2026.

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.

Informal enquiries should be addressed to Dr Changjae Oh at c.oh@qmul.ac.uk. Details about the School can be found at www.eecs.qmul.ac.uk.

Candidates are kindly requested to upload documents totaling no more than 10 pages; certificates, references and research papers should not be provided at this stage.

To apply for the role, please click the ‘apply’ button.

The closing date for applications is 4 weeks. Interviews are expected to be held shortly thereafter.