Research Software Engineer: Environmental Data & AI Infrastructure
Research Software Engineer: Environmental Data & AI Infrastructure

Research Software Engineer: Environmental Data & AI Infrastructure

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop digital infrastructure for environmental data collection and analysis using AI.
  • Company: Join a leading research group at Imperial College London.
  • Benefits: Gain experience in cutting-edge research with opportunities for collaboration.
  • Why this job: Make a real impact on environmental initiatives and work with global partners.
  • Qualifications: Experience in software engineering and a passion for environmental science.
  • Other info: Collaborative environment with opportunities for professional growth.

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 employer: Society of Research Software Engineering

At Imperial College London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Research Software Engineer in the Department of Civil and Environmental Engineering, you will have access to cutting-edge resources and opportunities for professional growth while contributing to impactful environmental research. Our commitment to employee development, coupled with our vibrant academic environment in one of the world's leading institutions, makes this role not just a job, but a meaningful career path.
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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

✨Tip Number 1

Network like a pro! Reach out to current or former employees at Imperial and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral.

✨Tip Number 2

Show off your skills! Prepare a portfolio showcasing your projects related to environmental data and AI. This will help us see your practical experience and how you can contribute to the team.

✨Tip Number 3

Get ready for the interview! Research the Hydrology and Water Resources group and think about how your background aligns with their work. We want to see your passion for environmental data and innovative tech!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our team and contributing to exciting projects.

We think you need these skills to ace Research Software Engineer: Environmental Data & AI Infrastructure

Software Development
Environmental Data Analysis
Artificial Intelligence
Sensor Networks
Participatory Monitoring
Citizen Science
Collaboration Skills
Research Computing
Digital Infrastructure Development
Data Collection Techniques
Problem-Solving Skills
Communication Skills
Teamwork
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that are relevant to the Research Software Engineer role. Highlight any experience with environmental data, AI, or software development that aligns with what we’re looking for.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about environmental data and how your background makes you a great fit for our team. Don’t forget to mention any collaborative projects you've worked on!

Showcase Your Technical Skills: We want to see your technical prowess! Include specific examples of programming languages, tools, or methodologies you’ve used in past projects. If you’ve worked with sensor networks or AI, make sure to highlight that!

Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure it reaches the right people!

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.

✨Showcase Collaboration Skills

Since this role involves working closely with researchers and teams across various institutions, be prepared to discuss your past experiences in collaborative projects. Highlight how you’ve effectively communicated and worked with diverse teams to achieve common goals.

✨Prepare for Problem-Solving Questions

Expect to face questions that assess your problem-solving abilities, especially in the context of environmental data analysis. Think of specific examples where you’ve tackled complex issues and be ready to explain your thought process.

✨Understand the Research Group's Goals

Do your homework on Professor Wouter Buytaert’s research group and their current projects. Being able to discuss how your skills and interests align with their initiatives will show your genuine interest in the role and the impact you could make.

Research Software Engineer: Environmental Data & AI Infrastructure
Society of Research Software Engineering

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