Lancaster University

Lancaster University

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

Senior Research Associate/Research Associate in Image Processing, Computer

Vision and Machine Learning (H-unique)

School of Computing and Communications Salary: £31,396 to £44,263 Closing Date: Friday 24 November 2023 Interview Date: Thursday 30 November 2023 Reference: 1244-23

This is an exciting opportunity to join a top-15 university as a (senior) research associate in computer vision, on the ERC-funded project H-Unique. You will join our Imaging and Computer Vision Lab to develop new image processing and computer vision methodologies for effective multimodal feature extraction and comparison from multimodal 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.

H-unique is a five year, €2.5M programme of research and will be the first multimodal automated interrogation of visible hand anatomy, through analysis and interpretation of human variation. We are investigating inherent and acquired variation, as the hand retains and displays a multiplicity of anatomical variants formed by different aetiologies. Hard biometrics are well- understood and some soft biometrics are gaining traction within both the biometric and forensic domains. We are pioneering the development of new methods to release the full extent of variation within the visible anatomy of the human hand and reconstruct its discriminatory profile as a retro- engineered multimodal biometric. This work will provide a major novel breakthrough in the study of anatomical variation, with wide ranging, interdisciplinary and transdisciplinary impact.

We invite applications from enthusiastic individuals who have a PhD or equivalent experience in a relevant discipline. 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 31st December 2024

For further information or an informal discussion please contact Dr Bryan M. Williams (Email: [email protected]) or Dr Hossein Rahmani (Email: [email protected]).

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Further details:
  • Job Description
  • Job Description
  • Person Specification
  • Person Specification
  • Please note: Unless specified otherwise in the advert wording, all

    advertised roles are UK based.

    The University provides an environment that 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.

    Job details


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


    Lancaster University


    United Kingdom


    November 13, 2023

    Application deadline

    November 24, 2023

    Job type



    Computer Science,Engineering

    About the employer

    Established in 1964 by the Royal Charter, Lancaster University is amongst the leading research-intensive universities in the UK. It is among the only 6 collegiate universities in the country and has collaborations with NHS, GCHQ, LEP, CEH, EA, Sunway University, and UFLA, Brazil. Initially, the university was based at St. Leonard's Gate. The campus was moved to Bailrigg in South Lancaster in 1968. The university formerly had four colleges namely Cartmel, County, Lonsdale, and Bowland. Grizedale, Fylde, Furness, Pendle, and Graduate colleges were set up after 1990. Currently, it has 9 colleges that offer a total of 18 research programs.

    The Lancaster University campus occupies a beautiful 560-acre parkland site at Bailrigg, just three miles from Lancaster city center. The Bailrigg campus is home to Lancaster Arts, bringing together our own theatre, art gallery, and concert series. The Nuffield Theatre is one of the largest professional studio theatres in Europe. It hosts public performances of theatre, contemporary dance and live art from some of the best-known and respected companies from the UK and abroad. Each of the 9 colleges has its private residence blocks, administration staff, halls, bars, and Wi-Fi enabled common areas. There are two banks, a bakery, an ice-cream parlor, general stores and supermarkets, a beauty salon, and a post office on the university campus. Lancaster also has Chaplaincy Centre which houses prayer rooms with facilities for different faiths such as Christian, Buddhist, Hindu, Jewish, Islam, and Baha'i. Lancaster University provides university bus services making it convenient for the students and employees to commute. Further, the M6 motorway is only a five minutes' drive from the campus. It takes 10 minutes to drive to the West Coast Main Line that connects the city to London, Scotland, and Manchester.

    The academic structure of the university consists of undergraduate degree programs, postgraduate courses, research, and doctoral level programs. The acclaimed staff of the university guides the students into international level research centered on humanities, business subjects, natural sciences, modern languages, social sciences, and technology. Presently, the university has over 13,000 full-time students enrolled for first and higher degrees. There are 3,027 employees on the university campus including 1,323 faculty members.

    Lancaster University has over 148,000 alumni in more than 180 countries. The university has a notable list of alumni who have gained recognition in their respective disciplines. Emily Fleeshman is a Hollywood actress, famous for her role of Nikki in popular TV show Still Open All Hours. Also, she is the founder of an acting school named ‘The Actors' Lab’ based in Salford. Satnam Rana is a news presenter on BBC. Some other noble laureates of the university are Roger Ashton-Griffiths (actor), Andrew Brooke Miller (Novelist), Catherine Jane Smith (a member of British Labour Party), Lucy Jane Briers (actor), Andy Serkis (actor and director), Bruce Sewell (former counsel of Apple).

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