Geospatial Analyst

Reference number: 2627

Job status: In-progress

Job category: Local Position

Duty station: New Delhi, India

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CIFOR-ICRAF

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

Geospatial Analyst

Overview

Analysis and development using geoinformatics for the MoAFW Digital Tools Project.

Duties and responsibilities

  1. Skilled
    in Satellite Image Classification using Sentinel SAR & Optical data, Planet
    Scope satellite data, etc., along with time series analysis

  2. Demonstrated
    skills in Machine Learning classification-based pipeline development and
    optimization

  3. Sound
    knowledge of Google Earth Engine-based advanced programming, GEE app
    development, Python, and/or R programming

  4. Understanding
    of advanced geospatial modelling techniques (for suitability analysis,
    hydrological modelling, watershed analysis, etc.). Skills in predictive
    modeling using satellite data-derived features and field data.

  5. Understanding
    of geospatial tools development

  6. Sound
    knowledge of ground truth data collection and coordination skills with field
    staff

  7. Excellent
    skills in report writing, research paper writing, and short communication writing

Duties and Other Responsibilities

  • Contribute to stakeholder engagement events

  • Contribute to decision support tools and dashboard development

Education, knowledge and experience

  • A master’s degree or above in remote sensing, geoinformatics, NRM, and spatial data science is required, with proven ability to conduct highly complex analytical tasks.
  • Excellent understanding of Remote Sensing and Geoinformatics principles. Knowledge of IT tools will be an added advantage.
  • Advanced computer programming skills in Google Earth Engine, JavaScript/Python, and R, along with knowledge of database technologies and data management.
  • A fresher with excellent and relevant internship experience or a professional with 1-2 years of relevant experience will be preferred.
  • Knowledge/ experience in drone-based data processing and mapping would be an advantage

Terms and conditions

  • This is a vacancy for a Locally Recruited Staff (LRS) position. Landscape Alliance offers competitive remuneration in local currency, commensurate with skills and experience.
  • The appointment will be for 1 (one) year with the possibility of extension contingent upon performance, continued relevance of the position, and available resources.
  • The duty station will be in New Delhi, India.

To apply, please visit our career site at:

https://www.landscapealliance.org/about/work-with-us/

To learn more about Landscape Alliance, please visit our website at:

https://www.landscapealliance.org/

Landscape Alliance promotes Gender Diversity – Applications from women professionals are encouraged.

Landscape Alliance is an equal opportunity employer. It fosters a multicultural work environment that values gender equality, teamwork, and respect for diversity.

## Application process

The application deadline is 29 Jul 2026.

We will acknowledge all applications, but will contact only short-listed candidates.


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