Project Description:

• The attribution of satellite detections to different site types encompasses a wide range of industrial facilities which includes pinpointing the source of emissions down to the level of oil & gas production and storage facilities, waste management centers, coal mines, power stations, steel mills, aluminum smelters, chemical plants, and cement works . Therefore, one of the key components of the solution requires us to build a reliable global inventory of facilities with every major sector of the economy and every major source of emissions. The applicant will contribute to improving the data accuracy and coverage of the facility inventory by applying data fusion of disparate data sources and machine learning techniques.

• The activities that will be undertaken will require:

  • Exploratory data analysis and visualization

  • Design of new data pipelines for blending and processing large volumes of data

  • Machine learning model prototyping

• Find out more about SPIN and explore FAQs here.

Applicant Specification:

• Academic

  • Degree in Computer Science, Data Science, or other STEM subject

Minimum requirements:

• Passion and enthusiasm

• Knowledge in data science and statistical learning

• Competence in Python and SQL programming

• Experience with data visualization

• Strong analytical and problem-solving skills with the ability to work collaboratively in a cross-functional team

Desirable requirements:

• Expertise in geospatial data processing

• Familiarity with the Earth Observation field and remote sensing applications

Process details:

• 8 weeks fixed term contract to be agreed with successful candidate

• In-person Induction Event to be held on [date], and an in-person/hybrid Showcase Event to be held at the [place/date]

How we work:

At GHGSat, we design, develop, and utilize emission sensing and data technology for industries seeking to decarbonize their activities and the planet we all share. Our common goal is to create a compelling perspective for the future of humanity. As a company, we encourage and reward innovation, dedication, hard work, and achievement.

This job description set outs the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you didn’t tick.