Lecturer in Geospatial Data Science

University of Stirling; Stirling; On-site; GBP 40,000 - 58,000; Full time

Job summary

University of Stirling invites applications for a Lectureship in Geospatial Data Science within the School of Life and Environmental Sciences. The role focuses on using geospatial and data-driven methods to study environmental change and address environmental challenges, combining research with teaching across undergraduate and postgraduate programmes.

The post emphasizes developing a research trajectory, publishing internationally, and delivering high-quality teaching, including field courses

Qualifications

• Evidence of developing publication record.
• Credible plans for external research funding.
• Experience supervising dissertations and postgraduate/postgraduate projects.

Responsibilities

• Engage in independent and collaborative research aligned to the University's strategy and disseminate results in high-impact journals and conferences.
• Identify funding sources, prepare proposals, and manage grants.
• Supervise research students and provide direction and mentorship.

Skills

Geospatial data science

GIS

Remote sensing

Environmental statistics

Machine learning

Education

PhD in Environmental Science

Job description

The School of Life and Environmental Sciences, in the Faculty of Natural Sciences, is seeking to appoint a Lecturer in Geospatial Data Science, with a particular focus on using geospatial and data-driven approaches to understand environmental change and address environmental challenges. We welcome applications from environmental scientists and geographers working across geospatial data science and related fields.

The post provides an opportunity to develop research that combines environmental investigations with innovative approaches to analysing, modelling and interpreting environmental and geospatial data. The successful candidate may draw on a range of geospatial methods, including techniques in environmental statistics, GIS, remote sensing, artificial intelligence and machine learning, particularly where these are applied to addressing practical real-world environmental challenges.

The post holder will be expected to demonstrate a clear research trajectory, deliver internationally excellent publications, and contribute to a strong and collaborative research culture. They will also deliver high quality teaching in geospatial data science, with an expectation of contributing core teaching in both undergraduate and postgraduate programmes, including lectures and field courses, as well as assessment and associated administration.

We particularly encourage applications from candidates with expertise in geospatial data science, GIS, terrestrial remote sensing, and from those applying this expertise to interdisciplinary and applied environmental and geographical research. Experience of developing students’ quantitative, programming and geospatial analytical skills, as well as familiarity with UAV-based systems, would also be welcome.

For informal enquiries about this post, please contact Professor David Oliver ([e-mail]).

This post is offered at a Grade 7/8 (Lecturer) level.

Description of Duties

• Engage in individual and collaborative research, which aligns to the strategic direction of the University, develop a programme of research and disseminate results through regular publication in high impact journals, books and conference proceedings
• Identify appropriate sources of funding, prepare research proposals for funding bodies and manage grants awarded
• Supervise research students as required, providing direction, support and guidance

Essential Criteria

Grade 7

Qualifications

• PhD in relevant discipline (Environmental Science, Environmental Geography, Geospatial Science) or close to successful completion

Knowledge, Skills & Experience

• Evidence of a developing publication record
• Credible plans for the active pursuit of external research funding

Grade 8

Qualifications

• PhD in relevant discipline (Environmental Science, Environmental Geography, Geospatial Science)

Knowledge, Skills & Experience

• Established track record of high quality published research
• A record of involvement in applications for external funding for research
• Experience of supervising dissertation projects across the range of undergraduate/ postgraduate and of supervising doctoral students

£39,560 - £46,970 p.a. OR Grade 8: £48,337 - £57,666