Harper Adams University is seeking to appoint a Lecturer or Senior Lecturer in Applied Data Science to join our Department of Agriculture & Environment. This is a unique opportunity to influence the future of data science within the land-based and environmental sectors, through teaching, research, and industry engagement. The successful candidate will play a key role in launching and delivering the new BSc Applied Data Science programme at our Telford site, starting in October 2025. The post will require regular attendance at this site. This exciting development forms part of the University’s broader strategy to equip students and industries with the digital and analytical tools needed for a data-driven future.
As a data science lecturer at Harper Adams University, you will contribute to the design and delivery of undergraduate and postgraduate teaching in Applied Data Science, with the opportunity to help shape a brand-new curriculum. You will also support student dissertations, provide statistical and analytical guidance to research projects and collaborate on research and knowledge exchange activities across the University. Applicants with HE teaching experience, a publication record, or experience in curriculum/module development are especially encouraged to apply.
Candidates should demonstrate:
- Innovative teaching methods for undergraduate data science students
- Inclination to engage in an array of relevant teaching topics
- Enthusiasm to participating in both curricular and extracurricular activities
- Subject areas of particular interest may include:
- Machine and Deep Learning
- Data Visualisation
- Generative AI and LLMs
- Programming (Python, R, SQL)
- Databases and IoT
- Applied Statistical Methods
- You will also be involved in the development and delivery of short courses for industry professionals, supporting upskilling and innovation across agri-tech and related sectors.
- We welcome applications from individuals with:
- A degree and a relevant higher qualification (typically a PhD) or equivalent professional experience
- A strong foundation in programming, AI, and applied statistics
- Passion for teaching and supporting students at all levels
- An interest in applied data science research
