At a Glance
- Tasks: Join a cutting-edge team to develop deep learning algorithms for computer vision and anomaly detection.
- Company: Durham University, ranked in the top 10 for Computer Science in the UK.
- Benefits: Gain valuable research experience and collaborate with industry leaders in an innovative environment.
- Other info: Dynamic lab environment with access to advanced technology and excellent growth opportunities.
- Why this job: Make a real impact in AI-driven research while building your academic career.
- Qualifications: Experience in computer vision, machine learning, and a passion for research.
The predicted salary is between 30000 - 40000 £ per year.
The successful candidate will be based in the Department of Computer Science, Durham University - ranked in the top 10 for Computer Science, Complete University Guide 2025. The Department holds an Athena Swan Silver award, highlighting its commitment to promoting equality across Science, Engineering and Technology. In the UK REF 2021 research assessment exercise, 97% of our research outputs were classified world-leading or internationally excellent.
The Department of Computer Science hosts well-equipped labs with on-site capabilities comprising vehicle-mounted sensors, drone operations, on/off-road robotics, high-precision geo-localisation, bio-signal data collection, X-ray security scanning, virtual reality and on-demand wide-area surveillance video feeds. In addition, Durham University hosts the UK regional supercomputer Bede (128 NVIDIA V100 + 3 NVIDIA Hopper GPUs) in addition to the pan-university Hamilton GPU resource (8 NVIDIA H200 NVL) which both complement our departmental NVIDIA CUDA Compute Cluster (80+ GPUs up to NVIDIA A100) to cater for the increasing GPU compute demands of modern AI-driven research projects.
Applications are invited for a full-time Research Assistant in Computer Vision and Machine Learning (Visual-AI) with a particular emphasis on deep learning for anomaly and out of distribution detection. The post-holder will join Prof. Toby Breckon's research team at Durham University, for an initial fixed-term period of 24 months, funded by an ongoing portfolio of research work primarily spanning aspects of open-world object detection and anomaly/outlier detection for use in both wide-area visual surveillance, aviation security and sensing for future autonomous vehicle/robot sensing.
The successful applicant will be expected to work on common themes of deep machine learning research with applications across several active research streams within the group. They will consider the use of cutting-edge deep learning algorithms for object detection and tracking, anomaly detection and other generalized data understanding tasks across a range of imaging modalities. Specifically, they will investigate novel aspects of these tasks, develop software algorithms, and manage their own academic research in addition to collaboration with a range of external industrial and government collaborators.
The post offers an outstanding opportunity to gain a strong research track record in an exciting and fast-moving area of applied computer vision and machine learning whilst working in an environment with high levels of external collaboration and industrial research impact.
Research Assistant - Computer Vision and Machine Learning (Visual-AI) in North East employer: Euraxess
Durham University is an exceptional employer, renowned for its commitment to research excellence and equality, as evidenced by its Athena Swan Silver award. The Department of Computer Science offers a vibrant work culture with access to state-of-the-art facilities and resources, including the UK regional supercomputer Bede, fostering an environment ripe for innovation and collaboration. Employees benefit from opportunities for professional growth through involvement in cutting-edge research projects, making it an ideal place for those seeking meaningful and impactful careers in computer vision and machine learning.
