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- Tasks: Advance GeoAI methods for equitable epidemic surveillance and health risk mapping.
- Company: Join King’s College London’s innovative GeoAI for Health Equity Lab.
- Benefits: Fixed-term contract until 2030, professional development days, and collaborative research environment.
- Why this job: Make a real impact on public health through cutting-edge research and technology.
- Qualifications: PhD in relevant field and experience in GeoAI or spatial data science.
- Other info: Collaborate with top institutions like UKHSA and Johns Hopkins University.
The predicted salary is between 36000 - 60000 ÂŁ per year.
King’s College London invites applications for a Postdoctoral Research Associate (PDRA) in GeoAI and Spatial Epidemiology to join the GeoAI for Health Equity Lab (GAHEL, pronounced “gail”) led by Dr. Sabrina Li. The PDRA will contribute to Dr. Li’s UKRI-funded Future Leaders Fellowship project which focuses on integrating equity considerations into infectious disease mapping and surveillance, starting with the UK.
The PDRA will be based in the Department of Geography, but will have access to training and support from King’s Health Partners Digital Health Hub, King’s Institute for Artificial Intelligence, and the Digital Futures Institute. The PDRA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely with Dr. Li and in collaboration with national and international interdisciplinary partners based at the UK Health Security Agency (UKHSA), University of Cambridge, Imperial College London, and John Hopkins University (USA).
The PDRA will advance next-generation mapping methods for equitable and intelligent epidemic surveillance, contributing to the development of scalable GeoAI systems that improve understanding of health risks across populations and space. The PDRA will contribute to the development of a database of high-resolution equity indicators and apply cutting-edge GeoAI and spatial data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing confidential spatial health data, including differential privacy and other secure geospatial data protocols.
This research will advance our understanding of how major infectious diseases of concern in the UK emerge, spread, and unequally affect different individuals and population groups. Outcomes of this research will help advance the development of more equitable, spatial data-driven approaches to public health surveillance and pandemic preparedness, with direct links to public health policy. The findings will inform the development of a real-time spatial AI system to improve early detection and risk prediction, to protect vulnerable populations in the UK and in the future globally.
This is a full-time post (35 hours per week), and you will be offered a fixed term contract until September 2030. Part time employment may be considered. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development.
Postdoctoral Research Associate in GeoAI and Spatial Epidemiology - Strand, London, WC2R 2LS employer: KINGS COLLEGE LONDON
Contact Detail:
KINGS COLLEGE LONDON Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate in GeoAI and Spatial Epidemiology - Strand, London, WC2R 2LS
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the GeoAI and Spatial Epidemiology scene. Attend conferences, webinars, or local meetups to make those valuable connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work in GeoAI and spatial data science. Whether it's research papers, projects, or presentations, having a solid collection of your achievements can really impress potential employers.
✨Tip Number 3
Prepare for interviews by diving deep into the latest trends in public health and GeoAI. Be ready to discuss how your expertise can contribute to equitable health solutions, especially in relation to infectious disease mapping and surveillance.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job. Plus, it’s a great way to stay updated on new openings and get involved with our community.
We think you need these skills to ace Postdoctoral Research Associate in GeoAI and Spatial Epidemiology - Strand, London, WC2R 2LS
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience in GeoAI and spatial epidemiology, and how it aligns with Dr. Li's project. We want to see how you can contribute to our mission!
Showcase Your Skills: Don’t just list your qualifications; demonstrate them! Use specific examples of your work with mapping methods or data science techniques. We love seeing how you've tackled challenges in the past.
Be Clear and Concise: Keep your application straightforward and to the point. Avoid jargon unless it's relevant to the role. We appreciate clarity, so make it easy for us to see why you're a great fit!
Apply Through Our Website: We encourage you to submit your application through our official website. It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at KINGS COLLEGE LONDON
✨Know Your Research
Make sure you’re well-versed in Dr. Li’s work and the specific project you’ll be contributing to. Familiarise yourself with the latest trends in GeoAI and spatial epidemiology, as well as how they relate to health equity. This will show your genuine interest and understanding of the role.
✨Prepare for Technical Questions
Expect questions about your experience with GeoAI techniques and spatial data science. Brush up on your knowledge of differential privacy and secure geospatial data protocols. Be ready to discuss how you would approach developing scalable systems for epidemic surveillance.
✨Showcase Collaboration Skills
Since this role involves working with various interdisciplinary partners, be prepared to discuss your previous collaborative experiences. Highlight any projects where you’ve successfully worked in a team, especially in a research context, and how you navigated challenges.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the lab's future projects or how they measure the impact of their research on public health policy. This demonstrates your enthusiasm and forward-thinking mindset.
