SensFish promotes and supports sustainable fishing, aiming for a healthier ocean and future. Our technology enables science-based insight into the fish stocks, delivering AI Assurance and (near) real-time intelligence to various stakeholders from commercial fisheries to governmental organisations, whilst supporting their decision-making process. Further, our technology aggregates various datasets from above and underwater, embraced in bathymetry realms, for completeness of information. The vision of the project is to combat the problem of the overfished ocean and by doing so achieve multiple long-term outcomes like enabling sustainability and resilience to fisheries as well as better visibility of the seafood supply chain, enabling greater digitisation of fisheries management, and revitalisation of coastal communities (EMFF, 2023). The current ways of assessing fish stocks are lengthy, expensive and irregular and the measures to protect the fish population like ocean blocking are insufficient to restore the habitat as they are based on incomplete information. This is where SensFish technology comes in providing smarter, consistent, accurate and more resilient fisheries’ management, directly targeting global issues such as fish species extinction, illegal fishing, bycatch and ocean-related climate change impacts. This contributes to better balanced social, economic and environmental aspects.

Project Description:

• The student will undertake a range of activities. They are as follows. The student will first get familiar with MVP I, SensFish vision, the Satellite landscape analysis and the Fish Behaviour Report. The latter two will be provided as background information to broaden student's understanding of the project. Further, the student will build on a current business plan for relevant Satellite data acquisition and implementation based on the MVP I and SensFish Project vision. Following that, the student will take on the jobs of dealing with data inputs – pre-processing, harmonising and data integration. As well as measuring & monitoring data quality issues. The activities will also include the actual modelling/classification of data. This is in preparation for the visualisation of data and adding datasets into the MVP I Basic platform to connect live sources of data and display results

• Find out more about SPIN and explore FAQs here.

Applicant Specification:

• There is a certain set of Technical Skills SensFish will expect the student to possess. These span Data pre-processing, analytics, coding and modelling skills. Further, we will expect the student to understand and be able to handle Big Data, know how to harmonise and integrate them. On the non-technical side, we will expect the candidate to be able to work in a team (with the supervisor, another intern, but also other SensFish staff. We will expect the student to possess a good degree of Self-motivation, initiative and independent thought/working, while managing their time well, be creative, with problem-solving capabilities, communication skills, and ability to communicate progress, development and also issues.

Minimum requirements:

• Smile on the face, Passion and enthusiasm

• We would expect the student to be studying on a relevant Undergraduate or Master's programme in Data Science, Data Analytics and/or Big Data.

Process details:

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

• Online/In-person Induction Event to be held on [25. or 26.04.2024], and a hybrid Showcase Event will be held online or in-person in Glasgow. These details will be arranged during the outset conversation with the selected candidate.

How we work:

We strive to create a high-trust environment that enables team members to bring their whole selves to work – this helps to create the foundations of an innovation culture. Our shared values are critical to this:

• We always keep a smile on our face

• Equality, diversity and inclusion are our values

• We care - for our people, our partners, and our planet

• We connect - and engage with people and ideas

• We learn - and grow, as people and as an industry

We look forward to hearing from you and onboarding you on our team!