Contrato de 11 meses trabajando con datos sociales y ecológicos en conservación del medio marino y cambio climático (Francia) ~

6 de octubre de 2023

Contrato de 11 meses trabajando con datos sociales y ecológicos en conservación del medio marino y cambio climático (Francia)

Location: FRB – CESAB, 5, rue de l’École de Médecine, 34000 MONTPELLIER

Contract: 11 months fixed term, full time

Salary: from 2620 € gross per month, meal-tickets, partial coverage of transport and health insurance costs.

Closing date for application: October 15th 2023

Starting date: mid-November 2023

The project:

Climate change is rapidly transforming the ocean with disproportionate impacts on vulnerable societies in least developed countries. Concurrently, the expansion of area-based conservation is also transforming our ocean. Marine protected areas (MPAs) can be effective tools to build local social- ecological resilience to climate stressors and provide other societal benefits. However, if poorly implemented, marine conservation can also lead to inequitable outcomes, compromising the wellbeing of vulnerable coastal peoples and undermining long-term conservation success. The urgency and magnitude of climate change impacts and implications of inequitable conservation expansion necessitate robust, evidence-based strategies and policies at multiple scales.

The BLUE JUSTICE partnership will produce original, solution-oriented research based on the synthesis of multiple existing, and newly assembled, global datasets on social and ecological conditions in marine systems. Specifically, we will examine the relationship between marine conservation governance and social-ecological outcomes, generating novel insights on the conditions that promote equity and climate resilience in vulnerable coastal groups (including women and Indigenous groups), and produce the first global evidence-base on innovative pathways towards greater equity and resilience in marine conservation

Job description:

The data scientist is expected to:

Assemble and manage global datasets on social and ecological conditions in marine systems to examine the relationship between climate vulnerability, marine conservation, and equity across local to global scales;

Contribute to the building, standardization and management of a shared database among project partners;

Data mining and Statistical analysis (selection and application of the most appropriate existing statistical methods);

Support for the implementation of an analysis reproducibility strategy (via R/Python, Markdown and GitHub for example);

Assist the coordination of the BLUE JUSTICE project.


Requirements and qualifications:

A research-oriented profile master degree (diploma required: PhD, engineer/master’s degree) with training in an environmental field and statistics. The ideal candidate will be a highly motivated person with an interdisciplinary background and training.

Required skills

Strong quantitative skills: proficiency in statistical analyses and model ing techniques applied to ecology and socio-economic fields

Big Data Analytics: Experience working with and synthesizing different types of social and ecological data at various spatial scales , and large spatial datasets in R or GIS

Knowledge of machine learning algorithms and techniques

Data visualizaiton techniques

Proficient in programming languages in R, as well as have experience with SQL for data manipulation and analysis

Advanced skills in reproducibility research tools (Git, Markdown, etc.) data visualization techniques.

Good team player, able to work independently and coordinate with large interdisciplinary teams and in different time zones,

Strong organizational skills and attention to detail

Fluency in English, both written and verbal


Experience working with GitHub, cloud, or cluster computing

Qualitative data skills considered an asset

Experience with marine science and/or tropical environment

Application procedure:

Interested individuals should send the following materials to, and by the 15th of October


Names and email addresses of 3 references

A short cover letter describing your background and career goals (max 12 pages)

Google scholar profile (if possible)

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