Job Description
Postdoctoral Research Associate in Machine Learning - Durham The RoleThe successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene understanding, object detection, segmentation, classification, and pose estimation, as well as integrating these models into real-time systems. The role will involve working with large and multi-modal datasets (e.g., images, video, audio, and sensor data), and deploying solutions in real-world environments, particularly in robotics-focused applications.
Familiarity with robotics concepts such as SLAM, sensor fusion, visual odometry and hardware integration is highly desirable. The candidate will be expected to contribute to experimental design, evaluation using benchmark datasets, and the development of reproducible and scalable solutions. A flexible and creative approach to problem-solving is essential, as projects may span a range of domains including environmental monitoring, autonomous navigation and intelligent perception systems.Collaboration with our European partners is anticipated, and the successful candidate will be encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques.
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