Internship – Imagery Science & Analytics

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IAEA - International Atomic Energy Agency

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Application deadline 2 years ago: Monday 28 Feb 2022 at 22:59 UTC

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12 months

Internships

The IAEA accepts a limited number of interns each year. The internships are awarded to persons studying towards a university degree or who have recently received a degree (see Internship web pages for further details).

The purpose of the programme is:

To provide interns with the opportunity to gain practical work experience in line with their studies or interests, and expose them to the work of the IAEA and the United Nations as a whole.

To benefit the IAEA's programmes through the assistance of qualified students specialized in various professional fields.

The duration of an internship is normally not less than three months and not more than one year.

Organizational Setting

The Department of Safeguards is the organizational hub for the implementation of IAEA safeguards. The IAEA implements nuclear verification activities for some 180 States in accordance with their safeguards agreements. The safeguards activities are undertaken within a dynamic and technically challenging environment including advanced nuclear fuel cycle facilities and complemented by the political diversity of the countries.

The Department of Safeguards consists of six Divisions: three Operations Divisions for the implementation of verification activities around the world; three Technical Divisions (Division of Concepts and Planning, Division of Information Management, and Division of Technical and Scientific Services); and three Offices (the Office for Verification in Iran, the Office of Safeguards Analytical Services and the Office of Information and Communication Services).

The Division of Information Management (SGIM) comprises four Sections and provides the Department of Safeguards with data processing services, secure information distribution, information analysis and knowledge generation necessary to draw independent, impartial and soundly based safeguards conclusions.

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.

Added 2 years ago - Updated 2 years ago - Source: iaea.org