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Support NLP and machine learning research

United States

Opportunity Deadline

31/01/2024

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Job Description

Fresh
  • Country: USA
  • No of vacancies: N/A
  • Salary: N/A 
  • Organization: UNV
  • Gender: Both
  • Deadline:  2024-01-31

Details
Mission and objectives
UNDP’s new Strategic Plan aims to make UNDP more agile and anticipatory, including by investing in data and analytics, early warning and horizon scanning, in line with the SG’s and UNDP’s Data Strategies. As the knowledge frontier organization for sustainable development in the UN Development System, UNDP serves as the integrator for collective action to realize the Sustainable Development Goals (SDGs). The Crisis Bureau guides UNDP’s corporate crisis-related strategies and vision for crisis prevention, response and recovery. The Crisis Bureau aims to ensure that UNDP is well positioned to anticipate crises and shocks, and address multidimensional crisis risks in a comprehensive way. To that end, the Risk Anticipation Hub provides crisis risk and early warning support to HQ and to Country Offices (COs) to address their needs in contextual risk analysis.

Context
The Crisis Bureau aims to forecast conflict using publicly available data. A combination of datasets will be used as inputs, with text-based data from news sources as the main predictor dataset. Forecasting conflict will help the organization to anticipate risks and prevent crises.

Task type
Data processing

Task description
We are looking for 1 Online Volunteer who, under the guidance of the Data Science Specialist at the Crisis Bureau at UNDP, will conduct research in Natural Language Processing and machine learning modeling. The task will include the following responsibilities:
– Research advanced NLP methods in the context of conflict forecasting
– Training a text-based machine learning model
– Developing a code-base for implementation

Requirements
Required experience
Candidates should have advanced computer skills and proficiency in programming languages, including Python and PySpark, and have experience in machine learning packages and NLP models. Enrolment in a computer science PhD program would be an asset.

Languages
English, Level: Fluent, Required

Other information
Inclusivity statement
United Nations Volunteers is an equal opportunity programme that welcomes applications from qualified professionals. We are committed to achieving diversity in terms of gender, care protected characteristics. As part of their adherence to the values of UNV, all UN Volunteers commit themselves to combat any form of discrimination, and to promoting respect for human rights and individual dignity, without distinction of a person’s race, sex, gender identity, religion, nationality, ethnic origin, sexual orientation, disability, pregnancy, age, language, social origin or other status.

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