At a Glance
- Tasks: Join a cutting-edge research team in deep learning and computer vision.
- Company: Durham University, ranked 5th for Computer Science in the UK.
- Benefits: Gain valuable research experience and collaborate with industry leaders.
- Other info: Opportunity for career growth in a top-ranked department with excellent resources.
- Why this job: Make an impact in AI-driven projects and enhance your skills in a dynamic environment.
- Qualifications: Experience in machine learning and a passion for innovative 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 - Durham employer: Durham University
Durham University is an exceptional employer, offering a vibrant work culture that prioritises equality and collaboration within the Department of Computer Science. With access to state-of-the-art facilities and resources, including the UK regional supercomputer Bede, employees are empowered to engage in groundbreaking research while benefiting from professional development opportunities and a supportive environment that fosters innovation in computer vision and machine learning.
