GIS Intern at WorldFish

Mandla, Madhya Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

06 Oct, 26

Salary

0.0

Posted On

08 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GIS, Geospatial Analysis, Data Management, Map Production, Data Cleaning, Literature Review, Spatial Data Processing, Thematic Maps, Communication Skills, Analytical Skills, Problem-Solving, Attention to Detail, Remote Sensing, Programming, Aquaculture, Fisheries

Industry

Research Services

Description

About WorldFish WorldFish is an international research organization working to transform aquatic food systems to reduce hunger, malnutrition, and poverty. It collaborates with international, regional, and national partners to co-develop and deliver scientific innovations, evidence for policy and knowledge to enable equitable and inclusive impact for millions who depend on fish and other aquatic foods for their livelihoods and nutrition. Our work in countries advances progress on multiple 2030 Sustainable Development Goals through science and innovation, with a vision of healthy people, healthy planet and shared prosperity. About the Position The GIS Intern will support the sourcing, organization, management, and analysis of geospatial datasets to contribute to research and development projects across WorldFish’s project countries. The intern will contribute to generating spatial evidence to inform sustainable aquatic food systems planning, including aquaculture, fisheries, climate resilience, and environmental assessments. Tasks may include spatial data inventory and management, GIS and spatial analysis, map production, database maintenance, and documentation of geospatial workflows and outputs. Key Responsibilities Source, review, process, archive, and document relevant spatial datasets in accordance with established protocols and data management standards of the Center. Conduct data quality checks and support validation of spatial datasets collected from project partners and external sources. Assist in data cleaning, literature review, and compilation of geospatial information to support research activities. Support GIS and spatial analysis, including preparation of thematic maps and visual outputs for technical reports, presentations, workshops, and communication materials. Assist in maintaining organized geospatial databases and ensuring proper documentation of analytical workflows and outputs. Perform any other duties assigned to support GIS and geospatial activities at WorldFish. A Diploma or Degree in Geographic Information Systems (GIS), remote sensing, geoinformatics, information technology, geography, aquaculture, fisheries, environmental science or a related field. Basic knowledge and practical experience in using GIS software (e.g., QGIS or ArcGIS Pro). Understanding of geospatial concepts, including coordinate systems, map projections, raster and vector data models. Familiarity with spatial data processing, analysis, and map production. Experience working with spreadsheets, databases, and data management practices. Good analytical, problem-solving, and attention-to-detail skills. Good written and spoken communication skills in English. Ability to work independently and demonstrate effective time-management and organizational skills. Desirable Skills/Experience Experience using programming languages such as R or Python for geospatial analysis and data processing. Familiarity with remote sensing techniques and processing of satellite imagery. Familiarity with open-source geospatial data sources, platforms, and APIs. Knowledge or interest in aquatic food systems, aquaculture, fisheries, agriculture, climate, or environmental research. Experience in producing maps and visualizations for reports or presentations. This internship provides a valuable opportunity to gain practical experience in an international research environment. The intern will benefit from close interaction with scientists and technical staff, building both technical and professional skills. A monthly stipend will be provided. Location and Duration The successful intern will be based at WorldFish India in Mandla District, Madhya Pradesh, India. The successful candidate should be available to commence the internship as soon as possible and will run up until 31 December 2026. This opportunity is open exclusively to India applicants. Interviews are expected to be held in July 2026, and only shortlisted candidates will be notified and expected to attend the interview. How to Apply Your application must include: A copy of your curriculum vitae, A cover letter which addresses the key requirements stated above; and Contact information of three professional referees who may be contacted if you are short-listed for the position. To be considered, applications must be submitted by no later than 23:59 (MYT), 26 July 2026. The screening will start immediately and will continue until the position is filled. Due to the high volume of applicants for WorldFish positions, we appreciate all interest, but only short-listed candidates will be contacted. Our Gender, Diversity and Inclusion Commitment Over 40% of WorldFish staff is women with some 30 nationalities represented and contributing to its dynamic multicultural work environment. WorldFish is committed to promoting a work environment where diversity and inclusion are valued and we seek to have gender balance in the organization. We aim to also seek balance across other diverse dimensions. People in WorldFish are treated equally irrespective of gender, ethnicity/race, national or social origin, disability, religion, political affiliation, age, family size, marital status or any other form of personal identity. We are an equal opportunities employer and strongly encourage qualified women and men from developing nations to apply.

Responsibilities

The GIS Intern will support the sourcing, organization, management, and analysis of geospatial datasets for research and development projects. Key tasks include spatial data inventory, GIS analysis, map production, and maintaining geospatial databases.