Postdoctoral fellow global science – São Paulo/SP

SP | São Paulo
Efetivo (CLT)
Analista Social
Biólogo
Ecólogo

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.

What You’ll Bring

• 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.

Desired Qualifications

• 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.