Data Analyst - Video Analytics

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Job Details Data Analyst - Video Analytics Job Purpose You will be responsible for developing machine learning video analytics capacity within the Urban Big Data Centre (UBDC). Funded by UKRI-ESRC, UBDC exists to promote innovative research methods and the use of novel forms of data to improve social, economic, and environmental well-being in cities. UBDC delivers analyses with demonstrable impacts on public policy, society and industry and offers essential data infrastructure in support of priority areas including transport, neighbourhoods and housing and education, skills and labour. The successful candidate will be highly technically proficient, capable of rapidly delivering creative solutions and comfortable engaging with collaborators from academic and policy communities. You will work under the supervision of the UBDC£s Senior Data Science Manager, alongside existing data science specialists and with colleagues from project partner institutions. UBDC has been working with Glasgow City Council to develop technologies and processes to facilitate object detection from imagery acquired via the authority£s CCTV monitoring system, offering privacy-protected, and operationally non-disruptive counts of pedestrian, cycle and vehicle activity within the city. For mainly operational reasons within the Council, efforts to date have focused exclusively on still image data. Now, in collaboration with Newcastle University£s Urban Observatory we are developing this work to add video analytics capacity. You will develop machine learning object detection and tracking methods to extract from CCTV video footage information about how people and vehicles move throughout public spaces. Your role will involve leveraging existing libraries and pre-trained models, producing and deploying bespoke novel code, overseeing benchmarking and evaluation work and aspects of data curation and publishing. You will work with Centre staff and local authority partners to develop innovative approaches and support research needs as well as local operational priorities. You will be required to be adaptable to learning new methods and technologies, capable of working with people with varying technical proficiencies, and working independently or in small groups. Main Duties and Responsibilities Support Centre researchers and external stakeholders in meeting their data analytics needs principally related to machine learning and computer vision. Develop understanding of source visual information, opportunities for information extraction and management of associated privacy risks. Produce bespoke code, where possible in combination with existing libraries and pre-trained models capable of extracting appropriate information from video source materials Lead evaluation and benchmarking efforts related to video information extraction approaches, including model evaluation and processing capacity. Establish an understanding of the Centre£s existing data products and collections development programme, ensuring compatibility and coherence with existing data where possible. Clean, link and otherwise curate the observation data and derived data products. Support data curation through activities such as data cleaning, linkage and the creation and maintenance of metadata and contribute to the development of data products. Be cooperative and flexible, undertaking other duties as reasonably expected. Be able to travel to off-site locations as necessary. Work with other technical colleagues to present data in accessible formats via dashboards, APIs and downloadable datasets Knowledge, Qualifications, Skills and Experience Knowledge/Qualifications Essential: A1 Qualified in computer science, statistics, mathematics or related subject to degree level or equivalent, and/or with postgraduate qualification in IT or related discipline. A2 Extensive knowledge of data science computer vision and machine learning tools/packages, methods and approaches. A3 Extensive knowledge and experience of core programming languages including Python and associated frameworks / libraries. Desirable: B1 First degree in Computer Science. B2 PhD (completed or near completion) in a relevant discipline. B3 Knowledge of complex, heterogeneous urban data for research. B4 Knowledge of legal aspects of data confidentiality and technical solutions for managing data privacy. Skills Essential: C1 Excellent technical and programming skills covering areas including but not limited to machine learning, computer vision and information retrieval / extraction C2 Excellent data management, integration and cleansing skills C3 Excellent presentation and communication skills, including data presentation C4 Excellent problem-solving skills and adaptability to quickly develop new skills and address unfamiliar problems Desirable: D1 Ability to prepare technical proposals and reports. D2 Experience and skills with big data analysis and management. Experience Essential: E1 Significant relevant experience with relevant qualification or significant evidence of progression and development gained through relevant work experience. E2 Significant technical / programming expertise from multiple projects. E3 Significant experience engaging proactively with collaborators from diverse organisations, including government/public sector and commercial organisations Desirable: F1 Experience with GIS / spatial analytics. F4 Web development programming expertise. Job Features Dimensions - As part of a Data Science team, responsible for meeting the data science and technical presentation needs of a wide range of academic staff from several subject areas including Urban Studies, Mathematics and Statistics, Geographical and Earth Sciences, Computing Science, Education, Economics, Engineering and others. - Provide support to set up necessary IT systems. - Provide support for a range of data services including data linkage, cleaning and other aspects of curation. - Participate in development of overall Centre Data Science strategy to provide support for research, data services and products. - Participate in meetings with internal and external researchers and liaise with external stakeholders as necessary. - Participate in the development of research proposals. - Participate in internal meetings to report on progress and timelines. - Responsible for the management of large complex databases.£ -£Assist Senior Data Science Manager with routine programming and system management tasks. Planning and Organising - Plan and organise own workload effectively and efficiently, completing tasks within tight time constraints. - Proactive in facilitating senior Centre personnel and service user requirements in a flexible and ordered fashion. Decision Making - Participate in the identification of significant and critical issues affecting the progress of projects and communicating such issues to Centre personnel in a timely fashion. - Apply specialist knowledge and take independent decisions, where appropriate, and recommending changes/updates to current practices, as required. - Proactive in recommending new IT solutions and enhanced functionality to improve the efficiency of routinely collected urban data to clients. ** Internal/external Relationships** - Liaise on a regular basis with colleagues and senior management. - Liaise with external clients, as appropriate and in the development of client user applications. £ Problem Solving - Recognise and resolve issues within the area of data management, flagging critical issues to senior Centre personnel appropriately and in a timely fashion and apply expert knowledge by offering solutions and advice at a technical level. £ Other - Contribute to the Centre£s reputation as a leading research centre by providing at all times a high standard of work and by contributing to innovative technological solutions and widely recognised research developments of staff and universities involved. - Contribute to the University£s reputation in urban studies by providing a strong supporting service within the area of urban analysis and related methods and computational projects. - The nature of the post may require occasional working outside of normal working hours. Standard Terms & Conditions Salary will be on the Management, Professional and Administrative Grade, level 7, £35,845 - £40,322 per annum. This post is full time (35 hours per week) and has funding available until 1 March 2021. New entrants to the University will be required to serve a probationary period of 6 months. The successful applicant will be eligible to join the Universities£ Superannuation Scheme. Further information regarding the scheme is available from the Superannuation Officer, who is also prepared to advise on questions relating to the transfer of Superannuation benefits. It is the University of Glasgow£s mission to foster an inclusive climate, which ensures equality in our working, learning, research and teaching environment. We strongly endorse the principles of Athena SWAN, including a supportive and flexible working environment, with commitment from all levels of the organisation in promoting gender equality. The University of Glasgow, charity number SC004401. Vacancy Ref: 041805 Closing Date:£22 Oct

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