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- Tasks: Develop digital infrastructure for environmental data collection and analysis using AI.
- Company: Join a leading research group at Imperial College London focused on water resources.
- Benefits: Collaborative environment, professional growth, and the chance to work on impactful projects.
- Why this job: Make a difference in environmental research while working with cutting-edge technology.
- Qualifications: Experience in software development and a passion for environmental science.
- Other info: Opportunity to collaborate with international partners and advance innovative research.
The predicted salary is between 36000 - 60000 £ per year.
This is an exciting opportunity for a Research Software Engineer to join The Hydrology and Water Resources research group led by Professor Wouter Buytaert in the Department of Civil and Environmental Engineering. The role involves developing a digital research infrastructure to support innovative approaches to environmental data collection and analysis, including pervasive sensor networks, participatory monitoring, citizen science, and the assimilation of local expert knowledge using artificial intelligence.
Working closely with researchers in the group and collaborating with teams across Imperial, as well as UK and international partners, the successful candidate will play a key part in advancing these initiatives. They will also collaborate with Imperial's Research Software Engineers (RSE) team, based within the Research Computing Service (RCS).
Research Software Engineer: Environmental Data & AI Infrastructure in London employer: Society of Research Software Engineering
Contact Detail:
Society of Research Software Engineering Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Software Engineer: Environmental Data & AI Infrastructure in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Imperial or in similar roles on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your projects related to environmental data and AI. This will help us demonstrate our hands-on experience during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. Focus on technical questions related to software engineering and environmental data to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role's requirements.
We think you need these skills to ace Research Software Engineer: Environmental Data & AI Infrastructure in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in environmental data and AI. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our research group. We love seeing passion and enthusiasm!
Showcase Your Collaboration Skills: Since this role involves working closely with various teams, highlight any past experiences where you’ve successfully collaborated on projects. We value teamwork and want to know how you can fit into our dynamic environment.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the position. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Society of Research Software Engineering
✨Know Your Tech
Make sure you brush up on the latest technologies related to environmental data and AI. Familiarise yourself with sensor networks, participatory monitoring, and any relevant programming languages or tools that might come up during the interview.
✨Show Your Collaborative Spirit
Since this role involves working closely with researchers and teams across various departments, be ready to discuss your past experiences in collaboration. Share specific examples of how you've successfully worked in a team setting, especially in research or software development.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, particularly in the context of environmental data analysis. Think about challenges you've faced in previous projects and how you overcame them, especially using AI or innovative approaches.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the role and the research group. Inquire about ongoing projects, the impact of their work, or how they integrate citizen science into their research. This shows you're genuinely interested and engaged.
