Lecturer / Associate Professor of Geospatial Data Science
2 weeks ago
The University of Southampton is in the top 1% of world universities and is one of the UK’s top 15 research-intensive universities. Committed to excellence in all we do, we're growing and investing in our research and people to accelerate our remarkable achievements. With particular focus on four key impact themes chosen to build on the university’s existing strengths and to address the most complex societal and environmental challenges: Artificial Intelligence, sustainability and resilience, decarbonisation and engineering better health, this role is integral to our aim of making a lasting difference.
The School of Geography and Environmental Science is ranked is ranked sixth in the UK by subject (Guardian Subject League Table, 2024) and third for overall research quality (Grade Point Average, REF2021), with 75% of our impact case studies are judged as world leading. We have world leading expertise in Geospatial research, knowledge exchange and enterprise and we are a founding member of Southampton Geospatial, a multi-disciplinary research centre at the university that brings together diverse areas of geospatial knowledge and analytics to address key environmental and societal issues.
The role
We're seeking to appoint a Lecturer or Associate Professor in Geospatial Data science to strengthen our world leading Geospatial research and teaching. You'll conduct innovative and impactful research by developing and applying advanced computational methods to analyse and interpret geospatial data through application(s) focused on one or more of the following areas: sustainability, environmental change, climate change, health. You'll be part of Southampton Geospatial, with potential to join the leadership team and shape its future strategy.
You're expected to contribute to geospatial teaching in one or more undergraduate or post-graduate teaching programmes within the school with the opportunity to develop new modules in geospatial data science at master’s level.
About you
You should have strong expertise in geospatial data science with a solid background in advanced methods such as machine learning, AI or other quantitative methods and significant expertise in programming. You should have ability to collaborate across disciplines with applied interest in one or more of the following areas, including but not limited to: understanding cause and impact of global environmental change, impact of climate change on human health, modelling space time changes in environment and population.
You should also have experience in teaching and mentoring students at the undergraduate and postgraduate levels, with a focus on geospatial data science or related courses.
What we can offer you
With a generous holiday allowance and additional university closure days we are committed to supporting our staff and open to a flexible working approach.Giving full consideration to applicants that wish to work flexibly and those who have taken a career break.View our Benefits Explained website for full details. We aim to create an environment where everyone can thrive and we welcome applications from candidates who are committed to helping us create an inclusive work environment.
We particularly encourage applications from people who identify with one or more of the following: Black, Asian, a minority ethnic background, coming from a lower socio-economic background, LGBTQ+, a woman or having a disability as these identities are currently underrepresented in our working community.
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