Internship - Data Science and Analytics

vor 1 Woche

Wien, Wien, Österreich International Atomic Energy Agency Vollzeit
Internship - Data Science and Analytics - (TAL-SGIM

Organization:
SGIM-Division of Information Management

Primary Location:
Austria-Vienna-Vienna-IAEA Headquarters

Job Posting:
, 10:12:49 AM

Closing Date:
, 4:59:00 PM

Duration in Months: 12

Contract Type:
Interns

Full Competitive Recruitment:
Yes


The Safeguards Division of Information Management is seeking a data science and analytics intern with strong interest in natural language processing to join our team and contribute to the development of cutting-edge data science solutions.


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 carries out the IAEA's duties and responsibilities as the world's nuclear inspectorate, supporting global efforts to stop the spread of nuclear weapons.

The primary role of the Department is to develop and implement IAEA safeguards to ensure that there is no diversion of declared nuclear material from peaceful activities and no indications of undeclared nuclear material or activities in a State as a whole.


The Department comprises nuclear safeguards inspectors, responsible for carrying out inspections and verifications of all-safeguards relevant information for nuclear facilities in over 180 States; and technical staff responsible for a wide range of activities including: developing concepts and approaches for implementing safeguards; developing and maintaining safeguards equipment; providing analytical and laboratory services for sample analysis; collecting, evaluating and analysing safeguards-relevant information; providing information and communication technology infrastructure and services; and providing programme coordination support.


The Division of Information Management (SGIM) implements state of the art methodologies and techniques for the collection, processing and analysis of a range of safeguards-relevant information, including declarations submitted by States, evaluations resulting from the analysis of samples or measurements collected during infield activities, and information from open sources, including nuclear trade-related data and satellite imagery.

Staff perform data validation and complex information analysis and evaluation to support infield activities and provide key input to the State evaluation process.


Main Purpose


As a data science and analytics intern, you will have the opportunity to work alongside experienced data scientists to provide condensed, relevant nuclear fuel cycle data for analysts.

In particular, you will investigate innovative natural language processing methodologies to reduce large amounts of unstructured data from open sources to manageable volumes for expert assessment.


Functions / Key Results Expected


As an intern within the SGIM Integration Team, you will support the enhancement of analytical capabilities and be provided with a high level of professional development.


Your tasks will include the following:

  • Building rapid prototypes and proof of concepts to determine fit and usability.
  • Continuously improving natural language processing models, including but not limited to text classification, text similarity, and named entity recognition
Interacting with business users to define the scope and analytics business case.
Identifying valuable data sources and automate collection processes.

Qualifications and Experience

  • University degree in mathematics, statistics or a related field with a focus on data science.
  • Excellent written and spoken command of English.
  • Knowledge of machine learning libraries, such as PyTorch, scikitlearn, etc.
  • Demonstrated skills in analytic language Python
  • Experience in machine learning methodologies (e.g., supervised, and unsupervised learning, deep learning etc.)

Applicant Eligibility

  • Good written and spoken English essential; fluency in any other IAEA official language (Arabic, Chinese, French, Spanish or Russian) an asset.

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