View All Vacancies

Senior Research Associate: In search of uniqueness – harnessing anatomical hand variation (H-unique) - 2 posts

School of Computing and Communications
Salary:   £34,189 to £39,609
Closing Date:   Monday 25 March 2019
Interview Date:   Thursday 11 April 2019
Reference:  A2560

This exciting research opportunity has arisen directly from the ground-breaking research undertaken by Prof Dame Sue Black in relation to the forensic identification of individuals from images of their anatomy that are captured primarily within IIOC (indecent images of children).  To assess the evidential robustness of hand identification in the court room 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 application, from security access through to border control whilst assisting the investigation of serious and organised crime on a global level.

We are seeking to appoint two Senior Research Associate to work on the ERC-funded project (H-unique) led by Lancaster University. 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. It will be an interdisciplinary project, supported by anatomists, anthropologists, geneticists, bioinformaticians, image analysts and computer scientists. We will investigate inherent and acquired variation in search of uniqueness, as the hand retains and displays a multiplicity of anatomical variants formed by different aetiologies (genetics, development, environment, accident etc). Hard biometrics, such as fingerprints, are well understood and some soft biometrics are gaining traction within both biometric and forensic domains (e.g. superficial vein pattern, skin crease pattern, morphometry, scars, tattoos and pigmentation pattern). A combinatorial approach of soft and hard biometrics has not been previously attempted from images of the hand. We will pioneer the development of new methods that will release the full extent of variation locked within the visible anatomy of the human hand and reconstruct its discriminatory profile as a retro-engineered multimodal biometric. A significant step change is required in the science to both reliably and repeatably extract and compare anatomical information from large numbers of images especially when the hand is not in a standard position or when either the resolution or lighting in the image is not ideal. Large datasets are vital for this work to be legally admissible. Through citizen engagement with science, this research will collect images from over 5,000 participants, creating an active, open source, ground-truth dataset. It will examine and address the effects of variable image conditions on data extraction and will design algorithms that permit auto-pattern searching across large numbers of stored images of variable quality. This 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 such as Computer Science or Electrical Engineering. You must be able to demonstrate a research background in the area of image processing, computer vision, and/or deep learning. Familiarity with biometric image analysis methods and machine learning/deep learning frameworks 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 these positions.

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.

These positions are being offered on a fixed-term basis until 31 December 2023. 

For further information or to arrange an informal discussion please contact: h-unique-enquiries@lancaster.ac.uk

We welcome applications from people in all diversity groups.


Email details to a friend
Further details:

Lancaster University - ensuring equality of opportunity and celebrating diversity


Login



Login

Forgotten Details

Register

Good University Guide 2018 - University Of The Year Stonewall Global Diversity Champions Athena Swan - Charter for Women in Science HR Excellence in Research Lancaster University Partner Logos
Disabled Go Disability Confident Committed Equality Counts TEF Gold Lancaster University Partner Logos