University College London 
London, United Kingdom Project Description
About us
University College London Interaction Centre (UCLIC) is a world leading Centre of Excellence in Human-Computer Interaction teaching and research, studying interactions between people and technology, drawing on the best scientific traditions in Computer Science and Human Sciences, and working collaboratively with the research community and industry. UCLIC is unique in this space since it straddles Computer Science and Psychology.
We are proud of our work in EDI and outreach, promoting equity, diversity and inclusion across our community and aiming to inspire, empower and engage people from all backgrounds. With Athena Gold and Silver awards in Computer Science and Psychology respectively, we are committed to creating a fair, inclusive and supportive environment for all staff and students.
About the role
This exciting research position is part of XR-SENSE: Next-Generation Visuohaptic Media Representation, Coding and Interactive Rendering for Immersive and Inclusive XR, a major EU Horizon-funded project bringing together leading research and industry partners across Europe.
XR-SENSE aims to develop the next generation of immersive technologies, creating realistic, scalable, inclusive and affect-aware visuo-haptic experiences. The project combines advanced sensing, streaming and rendering technologies with human-centred affective computing and interaction models.
The successful candidate will play a key role in developing affect recognition and modelling approaches to enable personalised XR experiences. They will work within a highly interdisciplinary European consortium, collaborating with researchers and industry partners across multiple countries and contributing directly to the development and evaluation of innovative immersive technologies.
This post-doctoral researcher position is full time (1 FTE) for 2 years starting in November 2026 or soon after.
About you
You will be a collaborative and motivated researcher with a PhD, or equivalent experience, in Affective Computing, Machine Learning, Computer Vision, body gesture recognition or a related discipline. You will have experience developing affect recognition models, analysing multimodal sensor data, and designing human-participant studies, alongside a strong track record of peer-reviewed research. You will bring expertise in computer vision and machine learning for analysing human affective behaviour and non-verbal signals, as well as experience using LLMs for verbal data analysis. You will be an effective communicator and team member, able to work independently, manage competing priorities and contribute effectively to a multidisciplinary research environment
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits such as: .41 Days holiday including bank holidays .Hybrid working .Final Salary Pension Scheme .Cycle to work scheme and season ticket loan .On-Site nursery .On-site gym .Enhanced maternity, paternity and adoption pay .Employee assistance programme: .Staff Support Service .Discounted medical insurance. A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ‘Apply Now’ button. If you have any queries regarding the vacancy or the application process, please contact nadia.berthouze@ucl.ac.uk
Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we know diversity fosters creativity and innovation. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We particularly encourage applications from candidates underrepresented in UCL’s workforce, including those from Black, Asian and ethnic minority backgrounds, disabled people, and – for Grade 9 and 10 roles – women.
Read more: UCL Equality, Diversity and Inclusion.
Applicants should also familiarise themselves with UCL’s policies on: Prevention of Bullying, Harassment and Sexual Misconduct Policy and Personal Relationships Policy
This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.