Work For Us

Work For Us 2020-04-09T11:13:54-04:00

Job openings

Program Officer

Join the Global Fishing Watch Transparency Program in Europe. We are looking for a talented Program Officer to help us reveal human activity across the world’s oceans. The job will focus on advancing data sharing and fisheries transparency across Europe, North Africa and The Mediterranean. The ideal candidate will have an advanced understanding of European fisheries policy and management processes and will be familiar with monitoring, control and surveillance techniques used to tackle Illegal, Unreported and Unregulated (IUU) fishing in the region.

Full description here.

Apply with a cover letter and CV to policy-jobs@globalfishingwatch.org by Monday 18 May.

Data Scientist

Join the Global Fishing Watch data science and research team. We are looking for a talented data scientist to support the development of models that use vessel transponder (GPS) data and satellite imagery (both radar and optical). A strong ability to manipulate and analyze datasets in R or Python is required. Full description here.

Apply with a cover letter and CV to research-jobs@globalfishingwatch.org by April 27.

Senior Officer, Government Affairs (Indonesia)

Join the Global Fishing Watch transparency program in Indonesia. GFW’s transparency program is working with governments to publish their vessel tracking data to our public platform to strengthen monitoring and support enforcement. By embracing transparency, nations have a more cost effective way of monitoring vessels that puts the burden on fishers to demonstrate compliance rather than on the country to prove illegality. GFW is committed to bringing 20 countries into our transparency program by 2022 to advance responsible fisheries management. The Program Officer will play a key role in the delivery of this vision in Asia. Full description here.

Apply with a cover letter and CV to policy-jobs@globalfishingwatch.org.

Machine Learning Engineer

Join the Global Fishing Watch data science and engineering team. We are looking for a talented Machine Learning engineer to help us reveal human activity across the world’s oceans. The job will focus on developing and implementing models using vessel transponder (GPS) data and satellite imagery (both radar and optical). The ideal candidate will be skilled with the standard Python scientific libraries, experienced with distributed computing, and have a strong data science or computer engineering background. Full description here.

Apply with a cover letter and CV to research-jobs@globalfishingwatch.org.

Please keep checking back for other job opportunities with Global Fishing Watch.

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