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:
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
About Global Pulse:
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.      
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
  • 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.
    • Personal experiences, reports and
    • 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
  • Language Requirements: Excellent command of English. High
    literacy in Luganda, Acholi, Ngakaramojong, Runyakitara Lukonjo and
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.
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:
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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