National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lecturer in Physical Geography and Spatial Data Science (Education) - Strand, London, WC2R 2LS

Kings College London
London
1 month ago
Applications closed

Related Jobs

View all jobs

Lecturer in Health Data Science (Teaching and Scholarship)

Lecturer in Artificial Intelligence and Machine Learning for Sustainable Construction

Lecturer in Data Science in Haematology

T&R Lecturer in Health Data Sciences

Physics Professor/Teacher

Finance and Accounting Professor/Teacher

Lecturer in Physical Geography and Spatial Data Science (Education) - Strand, London, WC2R 2LS About us 

The Department of Geography is a vibrant community of students, teachers and researchers. Our holistic approach encompasses both human and physical geography perspectives on global challenges and pressing environmental, geopolitical, urban and rural issues. Our research findings contribute to public debates and policy development at national and international scales, making important contributions to climate change, disasters, smart cities, risk regulation, water, human migration and wildfire hazards. We are also deeply committed to tackling pressing matters of social justice around the world. We undertake field research in over 95 countries across seven continents. Meanwhile, using London as a laboratory, our students and staff study migration, transport, housing, displacement, air and water quality, and health impacts on Londoners. 

About the role

The Department of Geography, King’s College London invites applications for a Lecturer in Physical Geography and Spatial Data Science (Education). The successful applicant will contribute to teaching in-person (including residential fieldtrips) and online, supervision, tutorials, marking, and academic and pastoral support of students on the BSc programme in Geography and Environmental Science and on selected Masters’ programmes (e.g. MSc Environmental Science for Sustainability). The successful applicant will be expected to play a leading delivery role in delivering undergraduate modules such as Principles of Spatial Data Science, Applications of Spatial Data Science, and first and second year tutorials in Physical Geography and in our postgraduate module on GIS and Spatial Data Science.

 

As a minor part of their role, the applicant will be expected to undertake individual and collaborative research in their field, contributing to one of the five research groups within the Department (e.g. Physical and Environmental Geography; Political Ecology, Biodiversity and Ecosystem Services; Risk, Hazard and Society). They will also contribute to the intellectual and social environment of the Geography department by taking on administrative roles as necessary in a collegiate manner. They will receive mentoring and support to develop their skills and experience in education, academic administration, and scholarship.

 

Candidates should hold a PhD in Physical Geography or a cognate discipline and should have a developing research profile in their field. They should be familiar with the academic environment in the UK and have experience of delivering innovative Physical Geography teaching at undergraduate and/or postgraduate level. The candidate must have experience of open-source coding tools such as Python, R and computational notebooks.

 

The Lectureship is a two-year fixed term position with a probation period. Applicants must be available to start in September 2025. This post will report to the Head of Department of Geography. The Lecturer will receive mentoring and support to develop their skills and experience in education, academic administration, and research.

 

This is a full time (35 Hours per week), and you will be offered an  fixed term contract until 31/08/2027

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.