Job status: Inactive
Job category: Post Doctoral Fellow
Duty station: Bogor, Indonesia
The Center for International Forestry Research (CIFOR) and World Agroforestry (ICRAF) envision a more equitable world where trees in all landscapes, from drylands to the humid tropics, enhance the environment and well-being for all. CIFOR and ICRAF are non-profit science institutions that build and apply evidence to today’s most pressing challenges, including energy insecurity and the climate and biodiversity crises. Over a combined total of 65 years, we have built vast knowledge on forests and trees outside of forests in agricultural landscapes (agroforestry). Using a multidisciplinary approach, we seek to improve lives and to protect and restore ecosystems. Our work focuses on innovative research, partnering for impact, and engaging with stakeholders on policies and practices to benefit people and the planet. Founded in 1993 and 1978, CIFOR and ICRAF are members of CGIAR, a global research partnership for a food secure future dedicated to reducing poverty, enhancing food and nutrition security, and improving natural resources.
Post-Doctoral Fellow, Development of Decision Support System for Mangrove Conservation and Rehabilitation
Monitoring, reporting, and verification (MRV) have been part of the accountability measures in sustainable natural resource management. Mangrove blue carbon is among crucial resources for nature-based climate solution as the ecosystems have high capacity in sequestering and storing atmospheric carbon. To evaluate whether mangrove conservation or rehabilitation are in the right direction, a large amount of data and information on biophysical, social, and economic attributes are key for the evaluation. In addition, governance system that enable the ecosystem functioning will have to be considered.
A computerized decision support system (DSS) is needed as a management tool for mangrove blue carbon conservation and rehabilitation. Characterized by its robust and adaptive nature the DSS should function as a tool to solve problems arise and provide suggestions during the course of program implementation.
Duties and responsibilities
The successful candidate will be
tasked to develop and test the tool to demonstrate the robustness as well as
the user-friendliness of the system. Working with big data requires specific
approach and skill to extract them for meaningful analysis, interpretation, and
construction of the system.
While she/he will be working on
his/her own, the willingness and ability to work with peers are needed.
Education, knowledge and experience
- Receiving a PhD/Doctorate degree on Environmental Sciences in the past 2-3 years
- Having reasonably good record of publication in related areas
- Good command and writing skills in English
Personal attributes and competencies
- Having good understanding of mangrove ecosystem and its biophysical/social processes
- Familiar with Python programming language and machine learning approaches
- Having capacity in searching and extracting big data to be processed using Google Earth Engine
Terms and conditions
- This is a Post-Doctoral Fellow position. CIFOR-ICRAF offers competitive remuneration in US dollars commensurate with skills and experience.
- The appointment will be for 1 (one) year, inclusive of a six-month probationary period, with the possibility of extension contingent upon performance, continued relevance of the position and available resources.
- The duty station: Bogor, Indonesia.
To apply, please visit our career site at: http://www.cifor.org/careers and https://www.worldagroforestry.org/working-for-icraf
To learn more about CIFOR-ICRAF, please visit our websites at: https://www.cifor.org and www.worldagroforestry.org
CIFOR-ICRAF promotes Gender Diversity – Applications from women professionals are encouraged.
CIFOR-ICRAF is an equal opportunity employer. It fosters a multicultural work environment that values gender equality, teamwork, and respect for diversity.
Application processThe application deadline is 10 Sep-2022
We will acknowledge all applications, but will contact only short-listed candidates.
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