Senior Research Associate/Research Associate in Image Processing, Computer Vision and Machine Learning (H-unique)

Interview date: Monday 24^th April 2023

This is an exciting opportunity to join a top-15 university as a Senior/Research Associate in Image Processing, Computer Vision and Machine Learning, working on the multi-million pound ERC-funded project H-Unique. You will join our Imaging and Computer Vision Lab (iCVL) to develop new image processing and computer vision methodologies for effective multimodal feature extraction and comparison from colour and infrared images in a way that is robust to changes in viewpoint, illumination, background and modality. This is a fantastic opportunity to focus on core theory and methodology development with real-world meaningful application on a high-profile project.

This exciting research opportunity has arisen directly from ground-breaking research undertaken by the principal investigator Prof Dame Sue Black in the forensic identification of individuals from images of their anatomy. Assessment of the evidential robustness of hand identification in the courtroom requires that the degree of “uniqueness” in the human hand be assessed through large volume image analysis. The research opens up the opportunity to develop new and exciting biometric capabilities that have a wide range of real-world applications, from security access through to border control whilst assisting the investigation of serious and organised crime on a global level. You can find out more about the project at our website www.lancaster.ac.uk/security-lancaster/research/h-unique.

We invite applications from enthusiastic individuals who have a PhD or equivalent experience in a relevant discipline such as Mathematics, Computer Science or Electrical Engineering. You must be able to demonstrate a research background in the area of image processing, computer vision, and deep learning. Familiarity with biometric image analysis methods is not essential but will put you at an advantage. We will also value highly your ability to learn rapidly and to adapt to new technologies beyond your current skills and expertise. For more details, please see the Job Description/Person Specification for this position.

The School of Computing and Communications offers a highly inclusive and stimulating environment for career development, and you will be exposed to a range of further opportunities over the course of this post. We are committed to family-friendly and flexible working policies on an individual basis, as well as the Athena SWAN Charter, which recognises and celebrates good employment practice undertaken to address gender equality in higher education and research.

You will join us on an indefinite contract. However, the role remains contingent on external funding which, for this position, ends 31^st December 2024

For further information or an informal discussion please contact Dr. Bryan M. Williams (Email: b.williams6@lancaster.ac.uk) or Dr. Hossein Rahmani (Email: h.rahmani@lancaster.ac.uk)

• Job Description
• Job Description
• Person Specification

Unless specified otherwise, all advertised roles are UK based.

The University strongly supports the individual needs of each employee, whilst promoting the importance of wellbeing for all our colleagues. We have a range of support networks available for our employees, and more information on these can be found on the ‘Working at Lancaster’ information page.

We are committed to family-friendly and flexible working policies on an individual basis. The University recognises and celebrates good employment practice undertaken to address all inequality in higher education.

We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity.

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