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- Tasks: Develop and implement advanced techniques for analysing hyperspectral data from satellite imagery.
- Company: Purpose-driven start-up leveraging space technology for social impact.
- Benefits: Flexible work options, professional growth, and a chance to make a real difference.
- Why this job: Join a mission-driven team and shape the future of hyperspectral data analysis.
- Qualifications: Expertise in hyperspectral data processing and machine learning; passion for space technology.
- Other info: Diverse and inclusive culture welcoming applicants from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
A rapidly growing, purpose-driven start-up leveraging space technology for social and economic impact across the UK is seeking a passionate and experienced individual to join their innovative team and contribute to meaningful change through cutting-edge hyperspectral data analysis.
The Opportunity
This is a critical role for an exceptional hyperspectral data scientist to immediately address key challenges in normalising machine learning efforts applied to satellite imagery. You will be instrumental in ensuring consistent and reliable performance across various datasets, enabling us to achieve our ambitious goals. This is a truly unique and exciting opportunity to contribute directly to a high-impact project and shape the future of their organisation.
Responsibilities
- Develop and implement advanced normalisation techniques for hyperspectral data from satellite imagery.
- Optimise machine learning models for hyperspectral data analysis to achieve consistent standards.
- Troubleshoot and resolve issues related to data quality, calibration, and processing.
- Collaborate with a multidisciplinary team to integrate hyperspectral data into broader analytical workflows.
- Contribute to the development of best practices and methodologies for hyperspectral data analysis within the company.
Ideal Candidate
- Deep Expertise: Proven expertise in hyperspectral data processing, analysis, and machine learning applications.
- Background: Ideally, experience with NASA, the UK Space Agency, or similar organisations focused on remote sensing and earth observation.
- Technical Skills: Strong proficiency in relevant programming languages (e.g., Python), hyperspectral analysis software, and machine learning frameworks.
- Problem-Solver: Excellent analytical and problem-solving skills with a track record of overcoming complex technical challenges.
- Passion: A genuine passion for leveraging space technology to address real-world problems and contribute to positive social and economic impact.
Why Join Us
- Purpose-Driven: Contribute to a mission-driven organisation making a real difference in the UK.
- Innovation: Work at the forefront of hyperspectral data analysis and machine learning applications.
- Impact: Play a critical role in shaping the future of our company and the impact we have on society.
- Growth: Opportunity for significant professional growth and development in a rapidly expanding start-up.
- Flexibility: Open to various engagement models (contract, consultancy, permanent) and remote work options.
This is a really cool and unique gig!
Diversity & Inclusion
Mirai believes in the power of diversity and the importance of an inclusive culture. It welcomes applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both its team and its partners’ teams. This is just one of the ways they’re taking positive action to shape a collaborative and diverse future in the workplace.
Hyperspectral Scientist employer: Mirai Talent
Contact Detail:
Mirai Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hyperspectral Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the hyperspectral and space tech fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work with hyperspectral data and machine learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to hyperspectral analysis. We recommend practising with friends or using mock interview platforms to build your confidence.
✨Tip Number 4
Don’t forget to 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-driven team.
We think you need these skills to ace Hyperspectral Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Hyperspectral Scientist. Highlight your experience with hyperspectral data processing and machine learning, and don’t forget to mention any relevant projects or collaborations that showcase your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for space technology and how you can contribute to our mission. Be specific about why you want to join us and how your background aligns with our goals.
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled complex technical challenges in the past. We love problem-solvers, so share those moments where you made a real impact through your analytical skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re keen to be part of our team!
How to prepare for a job interview at Mirai Talent
✨Know Your Hyperspectral Stuff
Make sure you brush up on your hyperspectral data processing and machine learning applications. Be ready to discuss specific techniques you've used in the past, especially those related to satellite imagery. This will show that you’re not just familiar with the concepts but have hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex technical challenges you've faced and how you overcame them. This role is all about troubleshooting data quality and calibration issues, so demonstrating your analytical skills will be key to impressing the interviewers.
✨Familiarise Yourself with the Company’s Mission
Dive into the company’s purpose-driven approach and understand how they leverage space technology for social impact. Being able to articulate why you’re passionate about their mission will resonate well with the team and show that you’re a good cultural fit.
✨Be Ready to Collaborate
Since this role involves working with a multidisciplinary team, think of examples where you’ve successfully collaborated with others. Highlight your ability to integrate hyperspectral data into broader workflows, as teamwork is crucial in this innovative environment.
