Postdoctoral fellow global science – São Paulo/SP

Efetivo (CLT)

Responsibilities and Scope

Review, draw methodological insights from and synthesize relevant scientific literature.
Manage and analyze data and write up findings for peer-reviewed publications.
Engage with local communities to collect data and communicate relevant findings and their practical applications.
Design experiments and collect data.
Develop visualizations for communicating research results.
Deliver tools, data, analytical support, field services and training to staff and partners.
Contribute to grant writing and other fundraising efforts.
Work collaboratively though influence and building professional relationships. Undertake internal partnerships and collaborations to support above functions and responsibilities.
May work in variable weather conditions, at remote locations, in hazardous terrain and under physically demanding circumstances.

Ph.D. in a natural or social science discipline relevant to conservation science, awarded by start of the position (and no longer than 4 years prior) and at least 1 to 2 years of related experience.
Experience and interest in agroforestry, biodiversity and/or natural climate solutions.
Experience reviewing and synthesizing relevant scientific literature.
Experience collecting, manipulating, analyzing and interpreting scientific data.
Experience with statistical analysis and data synthesis.
Experience preparing reports of findings for peer-reviewed publications.
Strong writing and communication skills in English and Portuguese.

Previous experience conducting research and communicating with stakeholders in agricultural systems or working landscapes.
Multi-cultural or cross-cultural experience appreciated.
Experience with grant writing or other fundraising efforts.
Record of peer reviewed publications.
Experience integrating spatial data.
Experience with sample section, research instrument development, and collection of data.
Familiarity with geospatial data analysis
Knowledge of computer technology and common software applications.
Experience that demonstrates attention to detail.
Experience working collaboratively across multiple stakeholders including non-scientists.
Ability to organize work effectively, conceptualize and prioritize objectives and exercise independent judgment based on an understanding of organizational policies and activities.