{"job":{"jobId":1520,"fk_accountId":null,"fk_organizationId":594,"title":"Postdoc Research Assoc./Senior Research Assoc. - Image Processing/Computer Vision & Machine Learning","description":"\n<p><strong>Postdoctoral Research Associate/ Senior Research Associate in Image Processing/ Computer Vision and Machine Learning</strong></p>\n<p><strong>In search of uniqueness – harnessing anatomical hand variation (H-unique)</strong></p>\n<p>School of Computing and Communications</p>\n<p>Salary: £28,331- £40,322</p>\n<p>Closing Date: 29 February 2020</p>\n<p>Interview Date: Mid-March 2020</p>\n<p>Contract: Fixed Term</p>\n<p>H-unique is a five year, €2.5M ERC-funded programme of research, led by Lancaster University. This will be the first multimodal automated interrogation of visible hand anatomy, through analysis and interpretation of human variation. 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 captured in criminal cases.</p>\n<p>Assessment of the evidential robustness of hand identification for prosecutorial purposes requires the degree of “uniqueness” in the human hand to be assessed through large volume image analysis. The research opens up the opportunity to develop new and exciting biometric capabilities with a wide range of real-world applications, from security access to border control whilst assisting the investigation of serious and organised crime on a global level.</p>\n<p>This is an interdisciplinary project, supported by anatomists, anthropologists, geneticists, bioinformaticians, image analysts and computer scientists. We are investigating 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).</p>\n<p>The primary aim of the H-Unique project is the successful analysis and interpretation of anatomical variation in images of the human hand. This will be achieved by developing new image processing/computer vision methods to extract key features from human hand images (e.g. vein pattern, skin knuckle creases, tattoos, pigmentation pattern) in a way that is robust to changes in viewpoint, illumination, background, etc. The project will be successful if no two hands can be found to be identical, implying “uniqueness”. 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 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.</p>\n<p>We are seeking to appoint a Postdoctoral/ Senior Research Associate to work on feature extraction and biometric development. 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 previously been 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.</p>\n<p>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 image analysis methods, biometrics and machine learning/deep learning frameworks 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.</p>\n<p>This Postdoctoral/ Senior Research Associate position is being offered on a 2-year fixed-term basis. For further information or an informal discussion please contact Dr Bryan Williams (<a data-mz=\"\" href=\"mailto:b.williams6@lancaster.ac.uk\" rel=\"no-follow\">b.williams6@lancaster.ac.uk</a>), Prof Plamen Angelov (Email: <a data-mz=\"\" href=\"mailto:p.angelov@lancaster.ac.uk\" rel=\"no-follow\">p.angelov@lancaster.ac.uk</a>) or Dr Hossein Rahmani (Email: <a data-mz=\"\" href=\"mailto:h.rahmani@lancaster.ac.uk\" rel=\"no-follow\">h.rahmani@lancaster.ac.uk</a>).</p>\n<p>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.</p>\n<p><strong>Lancaster University - ensuring equality of opportunity and celebrating diversity</strong></p>\n","location":"Lancaster, Lancashire (GB)","location1":"유럽","location2":null,"location3":null,"type":2,"applyUrl":"http://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=A2560-RR","fileUrl1":"","fileUrl2":"","fileUrl3":"","fileUrl4":"","fileUrl5":null,"fileUrl6":null,"fileUrl7":null,"workingHour":"Full Time","contractType":"Fixed Term","salary":"£28,331- £40,322","original_id":"UNI|192791","original_domain":"https://www.timeshighereducation.com/unijobs","original_url":"https://www.timeshighereducation.com/unijobs/listing/192791/postdoc-research-assoc-senior-research-assoc-image-processing-computer-vision-and-machine-learn","original_isPremium":"true","closeType":1,"closedAt":"2020-02-29T00:00:00.000Z","createdAt":"2020-01-15T09:00:00.000Z","updatedAt":null,"requireEducation":10,"managerTel":"","managerFax":"","managerEmail":"h.rahmani@lancaster.ac.uk","managerName":"LANCASTER UNIVERSITY","managerPhone":"","managerAddress":null,"log_hit":5,"log_like":0,"publishState":1},"organization":{"organizationId":594,"lv1Id":null,"lv2Id":null,"name":"Lancaster University","name_en":"Lancaster University","name_alt":",","introduction":"<p>Lancaster University is a collegiate university in the UK city of Lancaster and a member of the N8 Research Partnership: an association of the eight most research intensive universities in the North of England. The university dates back to 1947 when a public meeting in Lancaster supported the proposal for a university college to be founded in the city, although it was 1964 before its first students were admitted. Its original site was in St Leonard’s Gate in the middle of the city. Today, the campus occupies a picturesque, 360-acre parkland site three miles from the city centre.</p><p>Lancaster is one of just a few universities within the UK to have a collegiate system. It is home to nine colleges overall, eight for undergraduate students and one for postgraduates. The campus has the feel of a small town with banks, shops, cafes, restaurants, bars, a pre-school centre and health services.</p><p>&nbsp;</p><p>Students can also enjoy the campus’s own theatre and art gallery, home to an international art collection that includes Japanese and Chinese art, antiquities, and works by 20th century British and European artists, including Miró and Ernst.</p><p>The university is located close to mountains and the sea. The Lake District National Park and the Forest of Bowland, areas of outstanding natural beauty, are both within close proximity.</p><p>&nbsp;</p><p>Lancaster has a strong reputation globally. Its international partnerships with higher education institutions include Sunway University College in Kuala Lumpur, Malaysia, the GD Goenka World Institute in India, COMSATS in Pakistan, and the Brazil- based Federal University of Lavras.</p><p>Lancaster is consistently voted one of the best-value universities for students and its student halls often win awards too.</p>","logoImg":"","logoImgSquare":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/images/hsjkahasf_879705069304.png","homepageUrl":"https://www.lancaster.ac.uk/","infoUrl":"https://www.timeshighereducation.com/world-university-rankings/lancaster-university","country":"GB","state":"Lancashire","location":"유럽","address":"Bailrigg, Lancaster, Lancashire, LA1 4YW, United Kingdom","phoneNumber":"+44 1524 65201","faxNumber":"","type":1,"univType1":"대학","univType2":"대학교","univType3":"","univType4":"본교","establishedAt":"1964-01-01T00:00:00.000Z","count_majors":null,"count_students":null,"meta_competitiveness":"","publishState":1,"updatedAt":"2020-04-06T16:34:51.000Z","createdAt":"2020-03-04T20:13:07.000Z","default_1_bannerImage":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/images/lancaster_pc_898109063692.png","default_1_bannerImageMobile":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/images/lancaster_m_1103196874204.png","default_2_bannerImage":null,"default_2_bannerImageMobile":null,"default_3_bannerImage":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/images/LANCASTER_1487672001171.jpg","default_3_bannerImageMobile":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/images/LANCASTER_345253156280.jpg"}}