Associate Lecturer (Teaching) in Computational Ecology
About the role
This 12-months fixed-term role offers an exciting opportunity to contribute to the growth of Biosciences’ People and Nature Lab at UCL East. We seek a computational ecologist with expertise in cutting-edge machine learning for ecology to help train the next generation of data-driven ecologists while advancing research at the intersection of computational methods and biodiversity conservation.
Based within the Research Department of Genetics, Evolution and Environment (GEE), this role is central to our cross-disciplinary MSc Ecology & Data Science programme. You will lead hands-on machine learning workshops, supervise student research projects, and collaborate with colleagues across UCL to enhance interdisciplinary learning. You will also work closely with external partners, alumni, and industry professionals to expand career development opportunities for students.
The People and Nature Lab brings together expertise from Biosciences, Computer Science, Geography, and The Bartlett Faculty of the Built Environment to tackle pressing challenges in biodiversity loss, climate change, and sustainable ecosystem management. This role is eligible for hybrid working, with a minimum 60% on-site presence at UCL East, a state-of-the-art campus dedicated to pioneering environmental solutions.
A job description and person specification can be accessed at the bottom of this page.
If you have any queries about the role, please contact Professor Kate Jones () for informal discussions. For application process queries, or to request reasonable adjustments or a more accessible application format, please contact the HR Administrator.
About you
You will have a doctoral degree in a relevant field and a strong research background in cutting-edge machine learning for ecological challenges. With experience in research-led teaching and student supervision, you will bring strong computational skills in ecological modelling or biodiversity monitoring and a proven ability to mentor students. You will be an excellent communicator and collaborator, able to engage across disciplines, and committed to fostering an inclusive learning environment. This is a fantastic opportunity to shape the next generation of ecological data scientists in a dynamic and supportive setting. A full list of essential and desirable criteria is provided in the accompanying person specification.
What we offer
The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing expectations around how we work – please to find out more.
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
• Additional 5 days’ annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Immigration loan
• Relocation scheme for certain posts
• On-Site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance
