January 3–11 (group 1) & January 11–18 (group II), 2023

Applications Deadline: 2 December 2022


This intensive field course will provide students with an immersive and cross-cultural experience in the deployment of autonomous ocean sensors and the analysis of resulting data using advanced statistical and data science approaches. Students will have access to a variety of sensors that will be used to examine fundamental oceanographic and geophysical processes through self-directed projects.

The course will be primarily taught in English.




The course will be open to senior undergraduate students, professionals and graduate students in areas related to earth sciences (eg. oceanography, geophysics, computer science and statistics).

The applicant should send to the organizing committee

- Motivation letter (1 page)

- Curriculum vitae

- Certificate of regular student of related careers

- Undergraduate students must attach to their application a recommendation letter from their tutor professor or thesis/memorial guide

- A basic knowledge of oceanography or marine geophysics and a basic level of programming is required. Students will also need at least an intermediate level of English.




• Apply and extend the concepts and tools developed in the PRODIGY Ocean Data course for data collection, analysis and visualization in a field-based setting

• Develop hands-on experience deploying ocean sensors and evaluating data quality

• Gain exposure to modern instrumentation used for autonomous ocean data collection, and use these sensors to measure environmental variables and test hypotheses

• Explore the use of ocean data and models to support sustainable salmon aquaculture, seismic risk assessment and other important socio-economic areas.

We will take advantage of the field course to deploy some hands-on activities in ocean data collection, analysis, visualization, with application to decision making. Focal areas will include marine aquaculture and seismic hazards. Students from Canada and Chile will work in teams, bridging scientific disciplines to share their experiences and expertise.




PART 1: Project design and framing of a testable hypothesis

PART 2: Construction and/or deployment of one or more autonomous ocean sensor

PART 3: Data analysis and interpretation

PART 4: Synthesis and communication of results




Selected students will receive a scholarship that includes lodging, food and materials. The cost of transportation is not included, so the participant will have to pay for his/her own transportation to Huinay.