Martí-Franquès COFUND Fellowship Programme


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Engineering and Architecture

Supervisor name and surname:

Francesc Serratosa Casanelles

Supervisor email:

Supervisor short biography

Co-supervisor name and surname:

Neil Duncan

Co-supervisor email:

Co-supervisor institution:


Co-supervisor short biography

PhD programme:

Computer Science and Mathematics of Security

Title of the research project:

Fish tracking and recognition to analyse feeding and reproductive behaviour

Description of the research project:

PhD aim:
-The aim of the PhD will be to combine computer vison, pattern recognition and the latest
video surveillance technologies to track and analyse the behaviour of fishes in tanks. This
work has similarities to people tracking or object tracking but applied to fish behaviour.
-The work aims to recognise fish involved in biological processes or behaviours such as
feeding or reproduction. Recently fish behaviour has been researched as an important
indicator to predict feeding response, welfare, reproductive output and generally to monitor
farm production. The final aim is to provide the industry with automatic video vigilance
systems that will increase productivity and streamline fish farming practices.
-The candidate will be enrolled at the Computer Science PhD program at Universitat Rovira I
Virgili and they will be based in IRTA at Sant Carles de la Rapita, Catalonia, Spain, where
research and experiments will be conducted.
-The PhD candidate will have two advisors, one specialist on computer vision and pattern
recognition (Prof. Francesc Serratosa) and the other one specialist on fish behaviour (Dr. Neil
Duncan). Both advisors and the candidate will work shoulder to shoulder to develop new
methods and write research papers in international journal and congresses.
The candidate:
- Must have a degree in computer science and knowledge in computer vison.
Ethics: This project involves ethical aspects.

Workplace location: IRTA, Sant Carles de la Ràpita

Gross anual salary:

27103.20 €


Full time

Working hours:

37.5 hours a week

Expected start date:

15 March 2021

European union This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 945413