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FORECASTING AND TIME SERIES ANALYSIS-CONSULTANT

Remote: 
Full Remote
Contract: 
Full time
Work from: 
Tanzania, Uganda, India

Offer summary

Qualifications:

PhD in Agribusiness, Agricultural Economics, or Applied Econometrics., At least eight years of experience in forecasting and time series analysis., Proficiency in Machine Learning and Artificial Intelligence techniques, including ARIMA, ARCH, and GARCH models., Excellent writing and data management skills, with the ability to collaborate with multidisciplinary teams..

Key responsabilities:

  • Conduct systematic reviews for demand estimation of vegetatively propagated crops (VPCs).
  • Predict area under cultivation, production, and yield using historical data and advanced analytical techniques.
  • Prepare technical reports and briefs, and assist in integrating findings into the Seed Requirement Estimation tool.
  • Collaborate with the digital team and prepare manuscripts for peer-reviewed journals.

CGIAR logo
CGIAR Research XLarge https://www.cgiar.org
5001 - 10000 Employees
See all jobs

Job description

This is a remote position.

About CIP

CIP is a not-for-profit international agricultural research organization with a global mandate to conduct research on potatoes, sweetpotatoes, Andean root and tuber crops, and sustainable management of natural resources. CIP’s vision is to contribute from its areas of expertise to the fulfillment of the Millennium Development Goals (MDGs), in particular those goals that relate to poverty, hunger, child and maternal mortality, and sustainable development. CIP has its headquarters in Lima, Peru with staff and activities in locations across Africa, Asia and Latin America. CIP, a member of the One CGIAR, a global research partnership for a food-secure future. One CGIAR science is dedicated to transforming food, land and water systems in a climate crisis, and it is carried out by 13 CGIAR Centers/Alliances in close collaboration with hundreds of partners, including national and regional research institutes, civil society organizations, academia, development organizations and the private sector

Background
    
We have developed the Seed Requirement Estimation (SRE) tool to estimate the seed needed at every stage of the seed value chain ( https://mt.co.ug/bid_tools ). Currently, the tool relies on a series of assumptions to estimate the actual seed requirements at each stage. These estimates are fully dependent on the area under cultivation for vegetatively propagated crops (VPCs). At present, we use a linear projection model, but this model lacks accuracy level as compared to estimation measured using Machine Learning (ML) or Artificial Intelligence (AI). Therefore, we aim to integrate machine learning and AI tools to predict the area under cultivation, production, and yield for VPCs across various market segments. Our focus includes Uganda, Tanzania, and India, specifically for crops like potato, sweetpotato, and cassava. Additionally, we have introduced specific varieties in each selected country tailored to specific market segments.


Objective

• Conduct a systematic review for the demand estimation, particular interest on VPCs.
• Predict area under cultivation for each VPC, production (tons) and yield (tons/ha) based on historical data and other factors that influence these indicators using time series analysis, ML and AI technique.
• Prepare a technical report and brief(s)
• Work closely with SRE digital team and assist the digital team to integrate this information in the SRE tool and validate the tool with potential users.
• Prepare a manuscript for the peer-reviewed journal.

Deliverables

• Study design and preliminary desk study
• Preliminary report for comments.
• Final report, briefs, manuscript.


Requirements

   Selection Criteria

 

  • PhD in Agribusiness, Agricultural Economics, Applied Econometrics, time series analysis related area.
  • At least eight (8) years’ experience.
  • Knowledge in forecasting and time series analysis, Machine learning and Artificial Intelligence, ARIMA models, ARCH and GARCH models.
  • Excellent writing skills (English), data management and analysis skills, ability to interact with multidisciplinary teams from private and public partners.

  Time frame

​  Consultancy contract will be for a maximum of 30 days.

 

Conditions:  This is a national consultancy position limited to Kenya and Uganda nationals and permanent residents only

Required profile

Experience

Industry :
Research
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Machine LearningArtificial IntelligenceTime SeriesTime SeriesAnalyticsData Management

Other Skills

  • Forecasting
  • Writing
  • Social Skills
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