Lecturer/ Senior Lecturer/ Reader in Data Systems and Data Engineering

Job Purpose

The University of Glasgow, established in 1451, is a member of the UK's Russell Group of leading universities. The University is committed to enhancing its position as one of the world's great broad-based research-intensive universities. Applications for the post are welcome in the general areas of Data Systems and Knowledge & Data Engineering, which complement existing strengths in the Knowledge & Data Engineering Systems Research Group, and the Information, Data and Analysis (IDA) Section of the School of Computing Science. Applicants whose research expertise bridges Data Engineering, Artificial Intelligence and Knowledge Discovery are particularly welcome. This includes (but not limited to) topics such as: • Data Engineering,• Data-centric Artificial Intelligence,• Distributed Artificial Intelligence,• Decentralized & Federated Learning,• Knowledge-based Systems,• Large-scale Data Analytics,• Big Data Systems,• Data Mining & Knowledge Discovery• Graph Mining,• Knowledge Graphs,• Knowledge Representation & Reasoning,• Distributed Knowledge Bases and Databases,• Statistical Databases,• Uncertainty modelling, and Data warehousing• Explainability, Fairness, and Trust in Data Systems. The postholder will develop, lead and sustain research of international standard in Computing Science; contribute to teaching, assessment, project supervision and curriculum design at undergraduate and postgraduate levels; and participate in School management and organisation. For appointment at Reader you will have an outstanding track record of national and international distinction and leadership in research, including publications, income, and awards, bringing external recognition and distinction to yourself and the University. The position is equivalent to US tenure track Assistant or Associate Professor. For appointment at Grade 8: To develop, lead and sustain research and scholarship of international standard and contribute to the delivery of an excellent student experience by delivering, organising and reviewing agreed teaching, assessment and administration processes to enhance learning and teaching in the School of Computing Science. For appointment at Grade 9: To make a substantial and positive contribution to the strategic direction of the School/College through leading and contributing to world-changing and internationally-competitive research, high quality teaching at both undergraduate and postgraduate level, securing research funding, and providing academic leadership and management within the School/College. To actively engage in relationships with external stakeholders that advance knowledge exchange, public understanding and outreach. Main Duties and Responsibilities Perform the following range of activities:1. Develop, lead and sustain personal and group research in Data Engineering, Distributed Data Systems and Knowledge Discovery aligned appropriately to School/College research strategy.2. Enhance your research profile, reputation and esteem through:- Establishing and sustaining a track record of independent and joint publications of international quality in high quality refereed journals, generating research impact in terms of economic/societal benefit;- Presentation at international and national conferences and at internal/external seminars, colloquia and workshops;- Identification of potential funding sources and the development of proposals to secure funding from internal/external bodies to support future research;- Developing and maintaining collaborations with colleagues across the School/College/University and external Academic and Industrial Partners;- Contribution to team/group meetings/seminars/workshops and activities to enhance the wider knowledge, outputs and culture of the School/College.3. Contribute to the planning, organisation and delivery of high quality teaching, supervision and assessment activities across under/post-graduate programmes within the Subject/School.4. Contribute to the on-going development and design of under/post-graduate curricula, to ensure a research-led approach to student learning and assessment in the discipline and/or profession.5. Manage a variety of academic administrative activities, including timely delivery of effective and constructive feedback on assessment, and provision of pastoral support.6. Contribute to the management and organisational duties of the School, as assigned by the Head of School.7. Engage in personal, professional and career development. For appointment at Grade 8:  9. Demonstrate enhanced leadership, academic responsibility and strategic management, particularly through internationally leading research, outputs and funding. For appointment at Grade 9: 10. In addition, demonstrate a distinctive contribution to the academic community through a leading role nationally and internationally eg shaping research agendas, advising review panels and funders. For appointment at Reader: 11. Excel significantly in generation of research, outputs, funding, supervision, and knowledge exchange/impact. Knowledge, Qualifications, Skills and Experience  Knowledge/Qualifications Essential:A1 Relevant PhD or equivalent experience within Data Engineering, Data Systems, Data-centric AI, and/or Large-scale Distributed Computing Systems.A2 Significant breadth/depth of knowledge in Bridging Data Engineering, Data Systems and Knowledge Discovery Research, which complement the existing strengths of the Glasgow Knowledge & Data Engineering Systems (KDES) Group and the Information Data & Analysis (IDA) Section.A3 A growing international reputation, evidenced by esteem indicators, in an area that matches or enhances existing activities in Data Engineering, Large-scale Database Systems and/or Artificial Intelligence-related research within the School. For appointment at Grade 9/Reader: A4 An extensive and established reputation in research and/or teaching within Computing Science as evidenced by esteem indicators. Skills Essential: C1 Ability, drive and influence to develop an international research profile.C2 Research creativity and strong cross-discipline collaborative ability as appropriate.C3 Excellent communication skills, with ability to communicate complex data/concepts clearly and concisely.C4 Excellent interpersonal skills and a collegiate approach.C5 Appropriate workload/time/project/budget/people management skills.C6 Extensive IT and data analysis/interpretation skills.C7 Good team leadership skills including demonstrable supervisory skills.C8 A strong commitment to high quality, research led, student orientated teaching and proven ability to engage students to inspire learning, and to provide pastoral care to students. For appointment at Grade 8/9/Reader: C9 Excellent leadership skills, able to develop early career academic colleagues and manage a research team.C10 Excellent influencing and collaboration skills to facilitate shaping the research agenda of the academic community and funders.C11 Exceptional commitment to high quality teaching, enthusing students and inspiring learning. Experience Essential:  E1 Sufficient depth of relevant research experience including postdoctoral experience, appropriate to an early-career researcher.E2 Evidence of a track record of presentations and publications in Knowledge & Data Engineering, (Distributed) Data Systems, and/or Data-centric AI topics in high quality conferences such as ACM KDD, ACM SIGMOD, IEEE ICDCS, IEEE ICDE, IEEE ICDM, ACM CIKM, ECML/PKDD and/or journals such as ACM TKDD, IEEE TKDE, ACM TOIS, DMKD.E3 Experience in undertaking independent research and contributing to successful funding applications.E4 Track record of development and delivery of teaching at undergraduate or postgraduate level. For appointment at Grade 8: E5 Strong track record of undertaking research, publishing in high impact journals at national and international level, and in attracting external research funding.E6 Excellent track record of contribution to academic and administration activities in a research-led institution. For appointment at Grade 9/Reader: E7 Evidence the above criteria to a higher degree, particularly in generation of research, outputs, funding, supervision, and knowledge exchange/impact. Terms and Conditions Salary will be Grade 7/8/9, 7 £39,347 - £44,263 , £48,350 - £56,021 ,£57,696 - £64,914 per annum. This post is full time and open ended. As part of Team UofG you will be a member of a world changing, inclusive community, which values ambition, excellence, integrity and curiosity. As a valued member of our team, you can expect:1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared.2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook , benefits and discount packages.3 A flexible approach to working.4 A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University . The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship.