Job Summary: 

Are you passionate about imagery science and analytics and eager to apply your skills to real-world challenges in an international organization? The Safeguards Division of Information Management is seeking an intern with a strong interest in applying machine learning, image processing, remote sensing and imagery science techniques to satellite imagery and geospatial information to join the team and contribute to the development of value-added tools.

As an imagery science and analytics intern, you will have the opportunity to work alongside experienced imagery analysts and investigate applications of open source high resolution satellite imagery, and open-source geospatial information, such as OpenStreetMap, for the creation of analytical tools for landcover classification, building and road detection or segmentation, multispectral information extraction, visualization, and change detection.

Duties and Responsibilities:

As an intern within the SGIM State Infrastructure Analysis Section, you will support the enhancement of analytical capabilities for satellite imagery and geospatial data and be provided with a high level of professional development. Your tasks will include the following:

• Building rapid prototypes and Proof of Concepts (PoC) to determine fit and usability;

• Interacting with business users to define the scope and analytics business case;

• Developing and applying technologies such as machine-learning and deep-learning algorithms to enable imagery and geospatial analytics product functionality;

• Identifying suitable open-source imagery and geospatial data sources and implementing related data collection, cleaning, pre-processing, and labelling processes.

Qualifications, Skills and Experience:

If you have the following attributes and meet the eligibility criteria, we would be very interested to hear from you:

• University degree in mathematics, statistics, remote sensing, or a data science related field

• Demonstrated skills in Python programming for satellite imagery, image processing, and geospatial data processing and analytics.

• Knowledge of popular machine learning libraries and framework (e.g. pyTorch(e.g., PyTorch, TensorFlow, Scikit-Learn), machine learning methodologies, and/or modern computer vision.

• Knowledge of remote sensing algorithm development using QGIS and GDAL is an asset.

• Practical experience of ENVI or ESRI suite software an asset.

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.

Level of Education: Bachelor Degree

Work Hours: 8

Experience in Months: No requirements