At a Glance
- Tasks: Conduct innovative research and teach geospatial data science to inspire the next generation.
- Company: Join the University of Southampton, a top 1% global university focused on impactful research.
- Benefits: Generous holiday allowance, flexible working, and a commitment to inclusivity.
- Other info: Be part of a dynamic team shaping the future of geospatial knowledge.
- Why this job: Make a real difference in sustainability and health through cutting-edge geospatial research.
- Qualifications: Expertise in geospatial data science, machine learning, and teaching experience required.
The predicted salary is between 55000 - 65000 £ per year.
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 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 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.
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.
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 the 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.
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. 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.
Geospatial Data Science: Lecturer/Associate Professor in Southampton employer: University of Southampton
The University of Southampton is an exceptional employer, renowned for its commitment to research excellence and innovation in addressing societal and environmental challenges. With a strong focus on employee growth, flexible working arrangements, and a supportive work culture, we foster an inclusive environment where diverse talents can thrive. Join us in our mission to make a lasting impact through world-leading geospatial research and teaching.
StudySmarter Expert Advice🤫
We think this is how you could land Geospatial Data Science: Lecturer/Associate Professor in Southampton
✨Tip Number 1
Network like a pro! Attend conferences, workshops, or local meetups related to geospatial data science. It's a great way to connect with potential colleagues and get your name out there.
✨Tip Number 2
Show off your expertise! Create a portfolio showcasing your research, projects, and any innovative methods you've developed. This will help you stand out when chatting with hiring managers.
✨Tip Number 3
Practice your interview skills! Get a friend to do mock interviews with you, focusing on your teaching philosophy and research interests. The more comfortable you are, the better you'll perform.
✨Tip Number 4
Don't forget to apply through our website! We want to see your application and learn about how you can contribute to our amazing team at Southampton Geospatial.
We think you need these skills to ace Geospatial Data Science: Lecturer/Associate Professor in Southampton
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your expertise in geospatial data science. We want to see how your skills align with our focus areas like sustainability and climate change.
Showcase Your Research Impact:When detailing your research experience, emphasise the impact of your work. We’re keen on innovative and impactful research, so share examples that demonstrate how you've tackled complex societal challenges.
Highlight Teaching Experience:Don’t forget to mention your teaching and mentoring experience! We value candidates who can contribute to our undergraduate and postgraduate programmes, so share any relevant courses or modules you’ve developed.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!
How to prepare for a job interview at University of Southampton
✨Know Your Geospatial Stuff
Make sure you brush up on the latest trends and technologies in geospatial data science. Be ready to discuss your experience with machine learning, AI, and programming, as well as how these can be applied to sustainability and environmental challenges.
✨Showcase Your Teaching Experience
Prepare to talk about your teaching philosophy and any innovative methods you've used in the classroom. Highlight specific examples of how you've engaged students at both undergraduate and postgraduate levels, especially in geospatial data science.
✨Collaborative Spirit is Key
Since the role involves interdisciplinary collaboration, think of examples where you've successfully worked with others across different fields. Be ready to discuss how you can contribute to the leadership team at Southampton Geospatial.
✨Align with Their Vision
Familiarise yourself with the university's key impact themes and be prepared to discuss how your research aligns with their goals. Show enthusiasm for making a lasting difference in areas like climate change and health through your work.
