Internship Advert

Reference number: 20260326
Job category: Internship
Duty station: Yaoundé office, Cameroon

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.

CIFOR-ICRAF is looking for a

Professional Intern Statistician

Background

The RESSAC program (Applied research in ecology and social sciences in support of sustainable management of forest ecosystems in Central Africa) aims to generate scientific knowledge to improve the sustainable management of forest ecosystems in Central Africa. The main objectives of the program is to gain a better understanding of the interactions between forest ecosystems and local communities, to develop innovative approaches to sustainable forest management, and to build the capacity of local players to better manage forest resources.

The EU-funded program is led by CIFOR-ICRAF and comprises some 26 projects associating institutions from the South and the North. The specific objectives of RESSAC are (1) to organize and support applied research aimed at enhancing knowledge in the social sciences and ecology of natural resource management and development methods in Central African forest ecosystems; (2) to promote the use of the knowledge produced in the operating methods of targeted stakeholders. The RESSAC program thus aims to contribute to the development, implementation and monitoring of public policies and sustainable development aid programs in Central Africa.

During the past four years, all research projects funded under RESSAC have produced huge amounts of data and knowledge that need to be cleaned, structured, analysed, interpreted and archived.

Objective of the consultation

The main objective is to support researchers in data collection and design, data analysis, interpretation, reporting and quality assurance in order to ensure high-quality, reliable, and actionable results to support the project’s research objectives, and produce high-quality research papers.

Duties and responsibilities

The consultant shall be responsible for producing the following deliverables:

• Clean and organize databases in order to facilitate statistical analyses for targeted publications.
• Contribute to the training of researchers in statistical analysis software for both ecology and social sciences,
• Accompany the selected researchers in the process of statistical analysis of the cleaned data.
• Develop appropriate statistical models and analytical frameworks.
• Generate insights through descriptive and inferential statistical techniques.
• Produce clear, well-structured analytical reports, charts and visualizations.
• Provide guidance on interpretation of results.

Education, knowledge and experience

• • Holder of a Master in Statistics, Biostatistics or Econometrics
• • Experience with various statistical software and data analysis, including SPSS, R, SAS, Python.
• • Proven interest in the field of natural resource management, climate change, agroecology, or sustainable development.
• • Proven experience in scientific writing in French and English.
• • Knowledge of modern platforms integrating statistics with machine learning and mining, use of AI, interactive dashboards, etc. will be an asset.

Terms and conditions

Duration: 6 months
Location: Home-based consultancy with virtual coordination meetings. Occasional interaction with the CIFOR Cameroon Country Office (Yaoundé) may be required. Travel for training may be required.

Interested candidates are invited to submit their applications no later than April 03, 2026.

• Applications must be sent by email to: cifor-cameroon@cifor-icraf.org
• The subject line must read: "Consultancy Statistician”

The application must be submitted as a single PDF document named: "Statistician-CANDIDATE NAME.pdf", including:

• A detailed motivation letter outlining relevant experience.
• An updated Curriculum Vitae (CV).
• Evidence of previous relevant work (publications, modelling outputs, portfolio, reports, or links to projects).

Application process

• The application deadline is 03 Apr 2026
• We will acknowledge all applications, but will contact only short-listed candidates.