trabalhar na 'global fishing watch'

[Marta Rufino]

Bom dia,

Pediram-me para difundir esta oferta de trabalho, para trabalhar na global fishing watch (em identificar trabalho escravo nos barcos, a nivel global). 

A apresentação da Rocio no ISEC foi excelente, e penso que o trabalho será também bastante interessante e desafiante.

A posição é remota.

Abraço,

M.

 https://globalfishingwatch.org/careers/?gh_jid=5593970003

Junior data scientist (forced labor)

at Global Fishing Watch (View all jobs)
Remote
The Position

This position is an exciting opportunity to join the Research and Innovation team at Global Fishing Watch as a junior data scientist. The Research and Innovation team at Global Fishing Watch connects data science and machine learning experts with leaders in the scientific community to produce new datasets, publish impactful research and empower others to use our data.

The junior data scientist will primarily work on the forced labor research project. The junior data scientist will play an essential role in the forced labor project by using online resources to investigate cases of forced labor; helping with data collection and quality analysis; and analyzing vessel information to help validate our models and better understand the behaviors, patterns, and relationships between vessels related to suspicious activity.  As they become more familiar with the model and the workflow of our research, they will be able to help improve the model pipelines and its structure. They will also have the opportunity to collaborate on scientific papers related to this and other research projects.

The successful candidate will have an interest in human rights issues and well-developed analytical, coding, and web-searching skills. The position requires an ability to critically engage with complex and sensitive datasets, as well as willingness, interest, and enthusiasm to work within a truly multidisciplinary team in a fast-paced work environment. The incumbent will build diverse technical skills in programming and big data, and gain a variety of experiences working for a globally diverse, fully distributed, and growing organization. Initially, this is a one-year project period with the possibility of extension depending on funding.

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Marta M. Rufino (researcher)
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Portuguese Institute for the Sea and the Atmosphere (IPMA)

Division of Modelling and Management of Fisheries Resources

Av. Dr. Alfredo Magalhães Ramalho, 6, 1495-165 Lisboa

Centre of Statistics and its Applications (CEAUL) 

Faculty of Sciences, Univ. of Lisbon, Portugal

Zoom room

http://rpubs.com/MRufino/

Iberian Research in Statistical Ecology group (IRSE)