27 July 2016

3 UN Multilingual Analyst Job Placements - United Nations Development Programme (UNDP)

Organization: United Nations Development Programme (UNDP) 
Duty Station: Kampala, Uganda
Reports to: Manager, Pulse Lab Kampala

About UNDP:
The United Nations Development Programme (UNDP) is the United Nation’s global development network. UNDP advocates for change and connects countries to knowledge, experience and resources to help people build a better life. The UNDP provides expert advice, training, grant support to developing countries including Uganda with increasing emphasis on assistance to the least developed countries.

About Global Pulse:
Global Pulse is an innovation initiative of the United Nations Secretary-General on Big Data. Its vision is a future in which big data is harnessed safely and responsibly as a public good. Its mission is to accelerate discovery, development and scaled adoption of big data innovation for sustainable development and humanitarian action. Global Pulse is building a catalytic network of in-country innovation centers, which will test new tools, data and analysis, share what lessons with the global community, mainstream successful approaches for real-time impact monitoring into policymaking. The first Lab was established in New York (Pulse Lab New York) followed by Jakarta, Indonesia and Kampala, Uganda.      

Pulse Lab Kampala (http://www.unglobalpulse.org/kampala) is an inter-agency initiative of the United Nations under the Office of the Resident Coordinator in Uganda. The first of its kind in Africa, it brings together researchers from Government, the UN, non-governmental organizations and private sector to explore the utility of new sources of digital “Big Data” (such as social media, mobile data, online information) and real-time analysis techniques for social development monitoring and program planning.

Job Summary: The Multilingual Analyst will support Pulse Lab Kampala to implement groundbreaking data innovation initiatives. The consultant will utilize the latest techniques in artificial intelligence, machine learning (including e.g. deep learning and probabilistic inference), computer vision and natural language processing to develop projects harnessing Big Data in various forms (for example, telecoms data, satellite imagery and social media data) to support the monitoring and achievement of the Global Goals.

Key Duties and Responsibilities: 
  • Refinement of filter specifications:
  • Filters for each development/humanitarian topic are defined by sets of keywords to match. An iterative process of refining the set of keywords and evaluating the filter matches is required in order to have the system most effectively identify the discussions of interest. Initial versions of each filter will be provided, and the role of the multilingual analyst is to propose additions and modifications of the keywords
  • Analysis of filter results:
  • After filters are applied to radio, it is necessary to provide an English translation of any material which is both relevant and interesting for the purposes of the study. Relevance is specific to each topic, and the definition in each case will be described to the analyst.
  • Interestingness is defined as follows:
    • High interest:
    • Phone-ins;
    • Live community discussions e.g. bimeeza;
    • Personal experiences, reports and opinions;
    • Presenter reporting other views from listeners, e.g. reading text messages, Facebook posts.
  • Medium interest: studio/guest discussion - especially if personal experience being reported.
  • Low interest: in general, anything that we might be able to know from another source:
  • News: can be included if there is a field recording of interest, or if the report is from a small community radio station that might have specific news items that are not nationally reported. Otherwise exclude;
  • Maybe for later: check if news story is reported in major sources (online), and include if the report cannot be found anywhere else;
  • Statements from officials.
  • For each segment matched by one of the filters, the multilingual analyst is required to listen to the segment and make structured notes.
  • If a segment does not meet the inclusion criteria, add a note at the beginning from one of the following:
    • Not speech;
    • Not relevant;
    • Not interesting.
  • Otherwise, for each interesting and relevant segment, add a note:
  • English translation of what’s been said;
  • As far as possible: place, time, gender;
  • Codes for type of event.

Qualifications, Skills and Experience: 
  • The ideal candidate for the United Nations Development Programme (UNDP) Multilingual Analyst job opportunity should have BSc in Computer Science, Software Engineering, Information Systems or related field. A combination of a first degree and relevant experience may be accepted.
  • At least five years’ experience of web application development, preferably having worked on examples of interactive data visualization;
  • Previous experience of coordinating student activities.
  • Language Requirements: Excellent command of English. High literacy in Luganda, Acholi, Ngakaramojong, Runyakitara Lukonjo and Lugbara.

Personal Competencies:
  • Plans and produces quality results to meet established goals;
  • Generates innovative, practical solutions to challenging situations;
  • Demonstrates substantive and technical knowledge to meet responsibilities and post requirements with excellence;
  • Demonstrates openness to change and ability to manage complexities;
  • Responds positively to critical feedback and differing points of view;
  • Excellent communication skills.

UNDP is committed to achieving workforce diversity in terms of gender, nationality and culture. Individuals from minority groups, indigenous groups and persons with disabilities are equally encouraged to apply. All applications will be treated with the strictest confidence.

How to Apply:
All candidates who so desire to join the United Nations Development Programme (UNDP) in the aforementioned capacity are encouraged to apply online at the web link below.

Deadline: 29th July 2016

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