At a Glance
- Tasks: Join a dynamic team to advance research in computer vision for environmental sustainability.
- Company: Be part of Queen Mary's Digital Environment Research Institute, a leader in data science and AI.
- Benefits: Enjoy competitive salary, generous leave, flexible working, and professional development opportunities.
- Other info: Work in a diverse, inclusive environment with excellent career growth potential.
- Why this job: Make a real impact on environmental challenges through innovative research and collaboration.
- Qualifications: PhD in computer science or Earth/Environmental Science with expertise in data science and machine learning.
The predicted salary is between 35000 - 45000 £ per year.
We are looking for a highly motivated post-doctoral research associate (PDRA) to join the research group of Professor Cédric John. You will be a key member of the John Lab at DERI, contributing to our development and the success of our mission, and we are looking for individuals who are enthusiastic at the idea of helping to build a new research platform for data science for the environment and sustainability. The role is funded for 24 months in the first instance, with an expected start date of July 2024.
You will have a PhD and track record in either computer science with specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will have a good track record of publishing your research in the peer-reviewed literature, and where relevant, of writing or helping to write research grants.
The role will be based in the Digital Environment Research Institute (DERI). DERI is Queen Mary's flagship University Research Institute dedicated to ground-breaking multi-disciplinary research in digital and data science, including artificial intelligence (AI). DERI offers an outstanding research environment including a dedicated physical space along with recently purchased high performance computing infrastructure to enable scientific breakthroughs. Further, DERI leads the university's participation in The Alan Turing Institute, the UK national institute for data science and AI.
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. Throughout our history, we've fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it's simply 'the right thing to do' but for what it helps us achieve and the intellectual brilliance it delivers. We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
We offer competitive salaries, access to a generous pension scheme, 30 days' leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus. Queen Mary's commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Postdoctoral Researcher: Computer Vision for Earth Systems in London employer: Queen Mary University of London
Queen Mary University of London is an exceptional employer, offering a vibrant and inclusive work culture that champions diversity and innovation. As a Postdoctoral Researcher at the Digital Environment Research Institute, you will benefit from a supportive environment with access to cutting-edge resources, competitive salaries, and extensive professional development opportunities, all while contributing to impactful research in sustainability and data science. With flexible working arrangements and family-friendly policies, Queen Mary prioritises employee well-being and growth, making it an ideal place for those seeking meaningful and rewarding careers.
Contact Details:
Queen Mary University of London Recruitment Team
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