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 resources and growth opportunities.
- Why this job: Make a real impact on environmental data science while developing your research career.
- Qualifications: PhD in computer science or 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 Researcher: 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 fosters innovation and collaboration in the field of digital and data science. As a Postdoctoral Researcher at the Digital Environment Research Institute, you will benefit from access to cutting-edge resources, generous leave policies, and a commitment to professional development, all while contributing to meaningful research that addresses environmental challenges. With a strong emphasis on diversity and flexibility, Queen Mary provides an enriching environment for personal and academic growth.
Contact Details:
Queen Mary University of London Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Researcher: 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
Show off your skills! Create a portfolio showcasing your research, projects, and publications. This is your chance to demonstrate your expertise in computer vision and data science, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and presenting your research clearly. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your pitch.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission at DERI.
We think you need these skills to ace Postdoctoral Researcher: 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 the John Lab. Be sure to connect your past research and publications to the goals of our team and the exciting work we do.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
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 in detail, especially any projects related to computer vision, data science, or environmental science. Be prepared to explain your methodologies and findings clearly, as this will show your depth of knowledge and passion for the field.
✨Align with Their Mission
Familiarise yourself with the goals of the John Lab and DERI. Think about how your work can contribute to their mission of sustainability and data science. During the interview, express your enthusiasm for their projects and how you envision your role in advancing their research platform.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask during the interview. This could include inquiries about ongoing projects, collaboration opportunities, or the lab's future direction. Asking questions shows your genuine interest and helps you assess if the environment is the right fit for you.
✨Showcase Your Publication Record
Be ready to discuss your publication history and any relevant grants you've worked on. Highlighting your contributions to peer-reviewed literature demonstrates your commitment to research excellence and your ability to communicate complex ideas effectively.
