Lecturer in Data Science and Analytics

Job Summary

Innovative, inclusive and professionally-focused, Robert Gordon University (RGU) has developed its strategy and principles to focus on the significant strengths, often unique in the UK, that underpin our demand-led, transformational teaching, learning and research. The School is a vibrant and inclusive community, renowned for its research, innovation, and teaching excellence in computing science. Internationally recognized for our expertise in Energy Transition, Computational Intelligence, Case-Based Reasoning, and Machine Learning, we are also building strengths in Materials, Cybersecurity, Digital and Immersive Technologies, and Robotics. Supported by national and international funding, we foster a thriving research environment that brings together early-career and established researchers to tackle real-world challenges through cutting-edge applied computer science research.

Building on these strengths, the School offers a diverse range of undergraduate and postgraduate programs, Graduate Apprenticeships, and short courses. These programs span disciplines such as Computer Science, Artificial Intelligence, Mechanical Engineering, Renewable Energy, Cybersecurity, Data Science, Business Analytics, and Robotics.

We are looking to recruit an enthusiastic, innovative and highly motivated lecturer to join our academic community and contribute to our data science and analytics offerings.

This role presents a unique opportunity to inspire and equip students with the skills to scope, manage, and deliver data-driven projects using advanced analytics tools, methodologies, and data management technologies. We are looking for an exceptional communicator with extensive expertise in business and data analytics, demonstrated through teaching, research, or professional experience. You will foster collaborative partnerships with academic institutions, businesses, charities, and public sector organizations.

You will contribute to advancing research and teaching in this dynamic field, with opportunities to publish high-impact research, secure funding, and engage with interdisciplinary collaborations. Applications are particularly welcome from candidates with expertise in data analytics, data mining, business intelligence, business analytics, data visualization, or related specializations, especially those with experience in applying these skills to health analytics.

Our research directly informs our teaching, and you will actively engage with students at all levels, contributing to their academic and professional development. You will also participate in recruitment, promotional, and outreach activities to inspire the next generation of computer scientists. A PhD in a relevant area, a record of impactful publications, and a strong interest in interdisciplinary research are essential for this role.

RGU's ultra-modern campus, located on the outskirts of the vibrant and prosperous city of Aberdeen, offers a superb place to live, work and develop your career. A relocation package is available to assist with your transition to RGU, where you’ll enjoy working in one of the most impressive university settings in the UK, with first-class educational infrastructure and outstanding sporting and leisure facilities, all set against a stunning rural backdrop on the banks of the river Dee. More information can be found on our Grade 7 Salary Scale: £39, - 45, / Grade 8 Salary Scale: £46, – 55,. Salary on appointment will be dependent upon experience.

Candidates with limited or no prior experience as an academic will be placed on the first point of the Grade 7 scale. Consideration will be given to offering an Academic Attraction Payment (adjusted annually) for those candidates who have specific industry knowledge, skills or, expertise which are required for the position.

Please see the job attachments for further information regarding the Grade 7 and Grade 8 criteria. Further guidance on Academic Attraction Payments can be found This post is subject to the individual being required to join the PVG scheme.