Applied Scientist — Forest Lidar & 3D ML (Equity) in London
Applied Scientist — Forest Lidar & 3D ML (Equity)

Applied Scientist — Forest Lidar & 3D ML (Equity) in London

London Full-Time 50000 - 70000 £ / year (est.) No home office possible
Sylvera

At a Glance

  • Tasks: Develop deep learning models for tree segmentation using cutting-edge lidar technology.
  • Company: Join Sylvera, a leader in climate action and innovative tech solutions.
  • Benefits: Enjoy equity, health insurance, unlimited annual leave, and a supportive work culture.
  • Other info: Collaborative environment with great opportunities for personal and professional growth.
  • Why this job: Make a real impact on climate change while working with advanced 3D ML technologies.
  • Qualifications: Expertise in 3D point cloud processing and proficiency in Python required.

The predicted salary is between 50000 - 70000 £ per year.

Sylvera is seeking an Applied Scientist – forest lidar & 3D ML in London. This role involves developing deep learning models for automating tree segmentation from laser scanning data, impacting Sylvera's Biomass Atlas product.

Candidates should have expertise in 3D point cloud processing, proficiency in Python, and a passion for climate action.

The position offers equity, health insurance, unlimited annual leave, and a supportive working environment that values collaboration and growth.

Applied Scientist — Forest Lidar & 3D ML (Equity) in London employer: Sylvera

Sylvera is an exceptional employer that champions innovation and collaboration in the field of climate action. Located in London, we offer a supportive work culture with unlimited annual leave, comprehensive health insurance, and equity options, ensuring our employees thrive both personally and professionally. Join us to be part of a team dedicated to making a meaningful impact through cutting-edge technology in environmental sustainability.
Sylvera

Contact Detail:

Sylvera Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Applied Scientist — Forest Lidar & 3D ML (Equity) in London

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those at Sylvera. A friendly chat can open doors and give you insights that a job description just can't.

Tip Number 2

Show off your skills! If you've got projects or research related to 3D point cloud processing or deep learning, make sure to highlight them in conversations or during interviews. We love seeing real-world applications of your expertise!

Tip Number 3

Prepare for technical questions! Brush up on your Python skills and be ready to discuss how you would tackle tree segmentation challenges. We want to see your thought process and problem-solving abilities in action.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Sylvera.

We think you need these skills to ace Applied Scientist — Forest Lidar & 3D ML (Equity) in London

Deep Learning
3D Point Cloud Processing
Python
Tree Segmentation
Laser Scanning Data Analysis
Climate Action Awareness
Collaboration
Growth Mindset

Some tips for your application 🫡

Show Your Passion for Climate Action: When writing your application, let us see your enthusiasm for climate action shine through! Share any relevant projects or experiences that highlight your commitment to sustainability and how they align with our mission at Sylvera.

Highlight Your Technical Skills: Make sure to showcase your expertise in 3D point cloud processing and Python. We want to know about the specific tools and techniques you've used in your previous work, so don’t hold back on the details!

Tailor Your Application: Take a moment to customise your application for this role. Mention how your skills and experiences directly relate to developing deep learning models for tree segmentation. This shows us you’ve done your homework and are genuinely interested in the position.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!

How to prepare for a job interview at Sylvera

Know Your Lidar and 3D ML Inside Out

Make sure you brush up on your knowledge of forest lidar technology and 3D machine learning. Be prepared to discuss specific projects you've worked on, especially those involving deep learning models for point cloud processing. This will show your expertise and passion for the field.

Showcase Your Python Skills

Since proficiency in Python is key for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem or explain your approach to a project. Practise coding challenges related to data processing and machine learning to feel confident during the interview.

Align with Their Mission

Sylvera is all about climate action, so make sure you express your passion for sustainability and how it aligns with their goals. Share any relevant experiences or initiatives you've been involved in that showcase your commitment to environmental issues.

Prepare Questions That Matter

Interviews are a two-way street, so come prepared with thoughtful questions about the team dynamics, the Biomass Atlas product, and how they support professional growth. This shows you're genuinely interested in the role and want to contribute positively to their mission.

Applied Scientist — Forest Lidar & 3D ML (Equity) in London
Sylvera
Location: London

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