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Internship – Imagery Science & Analytics – (TAL-SGIM20220117-001)

Main Purpose

The intern will work on a project to apply modern remote sensing and imagery science techniques to satellite imagery and geospatial information in order to provide value-added tools for imagery analysts in support of the mission of the Division of Information Management (SGIM). In particular, the intern will investigate applications of open source imagery such as Sentinel, and open-source geospatial information, such as OpenStreetMap, for the creation of analytical tools to assist imagery analysts, such as landcover classification, building and road detection or segmentation, multispectral information extraction, visualization, and change detection.

Functions / Key Results Expected

The intern will work within the State Infrastructure Analysis Section of SGIM in support of enhancing analytical capabilities for satellite imagery and geospatial data. This internship will provide a high level of professional development for the intern and will include the following tasks:

Build rapid prototypes and Proof of Concepts (PoC) to determine fit and usability. Interact with business users to define the scope and analytics business case; Develop and apply technologies such as machine-learning and deep-learning algorithms to enable imagery and geospatial analytics product functionality. Identify suitable open-source imagery and geospatial data sources and implement related data collection, cleaning, pre-processing, and labelling processes.

Qualifications and Experience

University degree in mathematics, statistics, remote sensing, geosciences, or data science related fields. Demonstrated skills in Python programming for satellite imagery, image processing, and geospatial data processing and analytics. Demonstrated knowledge of remote sensing algorithm development tools such as Python remote sensing and image processing packages, QGIS, GDAL, and ENVI through written scripts for analysis and reporting. Experience in machine-learning methodologies for images and satellite imagery (e.g. supervised and unsupervised learning, deep learning etc.). Excellent written and spoken command of English.

Applicant Eligibility

Candidates must be a minimum of 20 years of age and have completed at least three years of full-time studies at a university or equivalent institution towards the completion of a first degree. Candidates may apply up to one year after the completion of a bachelor’s, master’s or doctorate degree. Candidates must not have previously participated in the IAEA’s internship programme. Good written and spoken English essential; fluency in any other IAEA official language (Arabic, Chinese, French, Spanish or Russian) an asset. Candidates must attach two signed letters of recommendation to their application.

Company Website:

Company Name: IAEA Talent and Outreach Team

Please note that we only accept applications through our official job portal on the IAEA website. Link to submit an application is here:

HR Email address:

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