Postdoctoral Research Associate in Machine Learning

The Role

The 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. Verification of these models and algorithms will be conducted using benchmark datasets and real-world tests in diverse aquatic environments, necessitating a willingness to engage in experimental work for real-world verification with biologists and other stakeholders. This role will involve close collaboration with external partners across EU. You will be expected to visit several of partner institutions in the course of your work and will be based in the Department of Computer Science at Durham University.

This post is fixed term for 24 months due to the project's available funding.

The post-holder is employed to work on research which will be led by another colleague. Whilst this means that the post-holder will not be carrying out independent research in his/her own right, the expectation is that they will contribute to the advancement of the project, through the development of their own research ideas/adaptation and development of research protocols.

Successful applicants will, ideally, be in post by June 2025.

Please note that in submitting your application Durham University will be processing your data. We would ask you to consider the relevant University Privacy Statement which provides information on the collation, storing and use of data.

When appointing to this role the University must ensure that it meets any applicable immigration requirements, including salary thresholds which are applicable to some visas.

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