Job description

The purpose of this KTP is to use deep learning techniques to integrate multiple data (e.g., LiDAR, images, and tabular data) and develop an AI-driven Automated Surveying Capability to improve Peatland condition monitoring and assessment; to enable peatland owners to scale peatland restoration, to increase capacity and access to peatland carbon markets and to deliver major carbon benefits.

Project description

This role is seeking a candidate with the following skills and experience;
– Strong technical Machine Learning and Deep Learning techniques to work with multi-modal data (LiDAR, images and tabular data).
– Working knowledge of qualitative and quantitative data design, collection and analysis
– Experience in the field of deep learning. and strong programming skills (Python or R).
– Good theoretical and applied knowledge of the design and development of machine and deep learning, optimisation and data-driven modelling techniques
– Strong communication skills and project management experience

About the business

Climate Solutions Exchange Limited (CSX) is a supply side solution to the Natural Capital markets. Their purpose is to help develop a trusted Natural Capital market empowering land managers to obtain a fair financial return for environmental management and provide businesses transparent, verified carbon & biodiversity credits. Their vision is to connect land managers with businesses who together can deliver Nature Based Solutions to accelerate the fight against the climate crisis.

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