Senior Lecturer in Data Science at University of Chester

We seek to appoint a Senior Lecturer in Data Science to join our dynamic team of academics and help shape the future of our computing and data-focused programmes. We are particularly keen to hear from applicants with expertise in areas such as statistical learning, machine learning, data analytics, big data engineering, data visualisation or applied AI. Experience of working with real-world datasets, industry, healthcare, business, or public-sector partners would be especially welcome.

As a Senior Lecturer, you will bring your passion and experience to deliver high-quality teaching at both undergraduate and postgraduate levels. You will play a key role in ensuring that our curriculum remains current, research-informed, and aligned with the needs of employers and future data professionals. You will also contribute to the broader academic work of the School of Computer and Engineering Sciences, including curriculum development, research, supervision, and knowledge exchange. There are exciting opportunities to engage in interdisciplinary collaborations, outreach, and external engagement activities.

The ideal candidate will hold a relevant higher degree in Data Science, Computer Science, Statistics, Artificial Intelligence, or a closely related discipline, have teaching experience, and be skilled in designing innovative learning experiences. If you do not already hold one, we will support you in working towards a Postgraduate Certificate in Learning and Teaching in Higher Education or Fellowship of Advance HE (FHEA).

We are looking for a collaborative and forward-thinking individual who is passionate about supporting students and confident in using modern teaching approaches, including blended and online learning. If you are eager to make a difference in the lives of our students and to be part of an ambitious and innovative team at the University of Chester, we would love to hear from you.

We strongly encourage applications from women and individuals from diverse backgrounds, as we are committed to promoting inclusivity in our department. All appointments will be made based on merit.