Internship – Imagery Science and Analytics
vor 1 Monat
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 modern 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 for imagery analysts.
As an imagery science and analytics intern, you will have the opportunity to work alongside experienced imagery analysts and investigate applications of open source imagery, such as Sentinel, and open-source geospatial information, such as OpenStreetMap, for the creation of analytical tools, including for landcover classification, building and road detection or segmentation, multispectral information extraction, visualization, and change detection.
Functions / Key Results Expected
As an intern within the 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 and Experience
University studies in mathematics, statistics, remote sensing, or a data science related field. If you have the following attributes and meet the eligibility criteria, we would be very interested to hear from you: Demonstrated skills in Python programming for satellite imagery, image processing, and geospatial data processing and analytics. Knowledge of popular machine-learning libraries and frameworks (e.g. pyTorch) Demonstrated knowledge of remote sensing algorithm development tools such as Python remote sensing and image processing packages like QGIS or GDAL 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.). 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.-
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