New opportunity: Research Fellow in Applied Computer Vision
Ref Number: B04-04482
Professional Expertise: Research and Research Support
Department: UCL BEAMS (B04)
Working Pattern: part-time at 0.8FTE until 31st December 2024 or full-time at 1.0FTE until 30th September 2024
Salary: £42,099 - £50,585
Contract Type: Permanent
Working Type: Hybrid (20% - 80% on site)
Closing Date for Applications: 10-Dec-2023
UCL's Department of Computer Science (CS) is a top-ranked Computer Science Department in the UK. In the 2021 Research Excellence Framework (REF) evaluation, UCL Computer Science was ranked second in the UK for research power and first in England.
About the role
The successful candidate will join our inter-disciplinary team (AI/computation and human-centred design, cognitive neuroscience, social science) for Circular Textiles Economy, becoming part of Computer Science department, UCL Interaction Centre and GDIH - WHO Collaborating Centre for Assistive Technology at University College London.
- To develop and implement RGB-Thermal computer vision technologies to classify and segment textile materials and damage traits from both RGB and Thermal images of textile.
- To closely collaborate with researchers in other disciplines (eg. human centred design and social science) for developing imaging / sensors-based data collection protocols and build semi-automised data collection tools and interfaces.
The successful candidate is expected to have strong knowledge in computer vision and machine learning, in particular with experience of and enthusiasm for development and implementation of recent supervised and/or self-supervised representation learning models for image semantic classification and segmentation.
This role is offered either part-time at 0.8FTE until 31st December 2024 or full-time at 1.0FTE until 30th September 2024. The salary is offered at a range between £42,099 - £50,585 (incl. London weighting).
A job description and person specification can be accessed on the UCL Jobs Portal.
If you have any queries regarding the vacancy or the application process, please contact Associate Prof. Youngjun Cho (firstname.lastname@example.org).