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

at  University of Glasgow

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.

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

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.

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.

1. 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.

1. Contribute to the planning, organisation and delivery of high quality teaching, supervision and assessment activities across under/post-graduate programmes within the Subject/School.
2. 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.
3. Manage a variety of academic administrative activities, including timely delivery of effective and constructive feedback on assessment, and provision of pastoral support.
4. Contribute to the management and organisational duties of the School, as assigned by the Head of School.
5. Engage in personal, professional and career development.
6. Contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan - Inspiring People – Changing the World. http://www.gla.ac.uk/about/strategy/people/