Project Description:

This project will act as the interface between work in the company data science team and the web development team. Data science have defined data processing pipelines for AI based services using satellite imagery, and produce outputs on a project by project basis (usually through a report). In parallel the web development team have created an automated mapping platform, in which microservices can be deployed for, for example, identifying areas of degraded peatlands. Currently the interface between these service elements is highly manual, with satellite derived data products created, then uploaded manually to the mapping platform and stored in S3 on AWS. With more consideration this process could be automated, with satellite data being pulled automatically from a source (this could be AWS which hosts Sentinel type data products). This data could then be processed by the data science team scripts, before being displayed to the user. In this way a non-technical user (e.g. an ecologist) could instantly access AI based satellite imagery data products without the need for any domain knowledge, or input from the EOLAS development team. It is this approach that will enable EO derived automated mapping services for the geospatial sector.

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Applicant Specification:

• Academic – Undertaking a degree in a software related subject (e.g. computing science).

• Desirable – Some experience of the Python programming language.

• Desirable – some experience of or interest in satellite data processing.

• Desirable – some experience of or interest in geospatial data processing.

• Desirable – some experience of or interest in using the AWS cloud computing environment.

Minimum requirements:

• Passion and enthusiasm

• Some provable interest in either space or the environmental sectors (e.g. background reading, attendance of a course etc.)

Process details:

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

• Induction Event to be held at commencement, and a Showcase Event to be held at project close.

• 5 days holiday to be taken during the placement

How we work:

We strive to create a creative and open environment that enables team members to be successful over the placement and to provide a good learning experience for your future career. Our shared values are critical to this:

• Empowering our employees to operate at the highest possible level by encouraging a culture of continuous improvement and creating an open, honest and fair working environment.

• Ensuring customer satisfaction by collaborating and communicating to understand what it is they really want and need.

• Supporting an inquisitive mindset and analytical thinking to allow us to see further.