At a Glance
- Tasks: Join a dynamic team to advance research in computer vision for environmental sustainability.
- Company: Be part of Queen Mary University’s innovative Digital Environment Research Institute.
- Benefits: Enjoy competitive salary, generous leave, and flexible working arrangements.
- Other info: Collaborative environment with excellent career development opportunities.
- Why this job: Make a real impact on environmental data science and AI research.
- Qualifications: PhD in computer science or Earth/Environmental Science with data science expertise.
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 Research Associate in Computer Vision for Earth Systems 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 Research Associate in Computer Vision for Earth Systems at the Digital Environment Research Institute, you will benefit from competitive salaries, generous leave, and extensive professional development opportunities, all within a state-of-the-art research environment dedicated to sustainability and groundbreaking data science. With flexible working arrangements and family-friendly policies, Queen Mary is committed to supporting your work-life balance while fostering your growth in a collaborative and intellectually stimulating setting.
Contact Details:
Queen Mary University of London Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Associate in Computer Vision for Earth Systems
✨Tip Number 1
Network like a pro! Reach out to your academic contacts, attend conferences, and engage with online communities. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the lab and its projects. Show genuine interest in their work and think about how your skills in computer vision and data science can contribute to their mission. We want to see your enthusiasm!
✨Tip Number 3
Don’t just apply anywhere; focus on places that align with your values and research interests. Check out our website for opportunities at StudySmarter that match your expertise in environmental science and AI.
✨Tip Number 4
Follow up after interviews with a thank-you email. It’s a great way to reiterate your interest in the position and remind them of your unique qualifications. Plus, it shows you’re professional and courteous!
We think you need these skills to ace Postdoctoral Research Associate in Computer Vision for Earth Systems
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for computer vision and environmental science shine through. We want to see how excited you are about contributing to our mission at DERI!
Tailor Your CV:Make sure your CV highlights relevant experience in data science, machine learning, or deep learning. We’re looking for specific examples of your work that align with the role, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this position. Be sure to connect your background and research interests to what we do at the John Lab.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss any important details!
How to prepare for a job interview at Queen Mary University of London
✨Know Your Research Inside Out
Make sure you can discuss your previous research and publications in detail. Be prepared to explain how your work aligns with the goals of the John Lab and how it contributes to data science for the environment and sustainability.
✨Show Enthusiasm for Collaboration
Highlight your willingness to work in a multidisciplinary team. Discuss any past experiences where you collaborated with others, especially in areas related to computer vision, machine learning, or environmental science.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready about the lab's current projects, future directions, and how they integrate AI into their research. This shows your genuine interest and helps you assess if it's the right fit for you.
✨Demonstrate Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in your research and how you overcame them. This is particularly important in a field like computer vision, where innovative solutions are key to success.
