KTP Associate: Data Scientist (Deep Learning and Image Processing)

JOB PURPOSE:

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.

This position is initially for a 30 month fixed term contract, employed by Teesside University
and working day to day with CSX Carbon in Northallerton.

The appointed candidate will have access to a £5k dedicated training budget tailored towards
their personal development, access to leading industry experts and supervision from a leading
academic research team from Teesside University’s, led by Dr Annalisa Occhipinti.

About CSX Carbon: 

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.

About KTP: This position forms part of the Knowledge Transfer Partnership (KTP) funded by
Innovate UK. It’s essential you understand how KTP works with business and the University, and
the vital role you will play if you successfully secure a KTP Associate position.

Qualifications we require:

•  MSc within Computer Science, Data Science or Artificial Intelligence (essential)
• PhD degree in computer science, or related subject and additional qualification in Image
  Processing related applications (desirable)

Ideal Candidates will have the following Knowledge 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