Network models and analysis intern

INTRODUCTION TO GGGI

The Global Green Growth Institute (GGGI) is a treaty-based international, inter-governmental organization dedicated to supporting and promoting strong, inclusive and sustainable economic growth in developing countries and emerging economies. To learn more please visit about GGGI web page. 

GENERAL INFORMATION

• Application period for the program: until 31 January 2024
• Hiring manager:  Lilibeth Acosta
• Internship duration: 6 months (9:00 – 18:00 working days)
• Field of expertise: Network models and analysis 

The Climate Action and Inclusive Development (CAID) Department plays a critical part in supporting GGGI’s global, regional, and country-level programs and projects by:

• developing long-term low-emission development strategies (LT-LEDS),
• strengthening measurement, reporting, and verification (MRV) analysis and guidelines, including capacity building,
• supporting NDC revisions through defining or updating quantified mitigation and/or adaptation targets; enhancing the scope of NDC to cover a greater part of the economy/society; including and assessing macroeconomic impacts of climate action and socio-economic co-benefits
• leading climate diplomacy programs and activities,
• applying tools to integrate poverty reduction and gender equality into climate and green growth planning and investments to enhance prosperity and welfare,
• measuring the Green Growth Index performance to support policy planning,
• providing technical services related to Environmental and Social Safeguards to meet investor and financier requirements and
• producing GGGI’s flagship and strategic knowledge products.

One of CAID’s projects to support long-term climate planning and action is the Green Growth Performance Measurement (GGPM) Program. The GGPM has two interlinked components – the Green Growth Index and a Simulation Tool. This internship is related to the GGPM Program and its links to the overall objective of CAID.

Why be an intern at Global Green Growth Institute (GGGI)?

If you are considering entering the world of international organizations and green growth, an internship at the GGGI could be your ideal start. The objective of the internship is to give you a first-hand experience of the day-to-day working at GGGI. The Internship Program is a project-oriented learning opportunity for graduate students to gain experience through research assignments based on GGGI’s current operational needs. GGGI welcomes motivated, open-minded, and self-directed individuals to apply. You will be given an opportunity to work directly with outstanding and inspiring Green Growth professionals, participate in workshops and meetings, and contribute to analytical work as well as innovative rethinking on sustainable green growth. Interns will be selected based on merit and cannot be children or siblings of current GGGI staff members.

Can you be a GGGI intern?

• Are you enrolled in a Master’s, a Ph.D. program, or the final year of a Bachelor’s program?
• Have you completed Bachelor, Master or Ph.D. Degree in the last 12 months?
• Are you between a first degree and graduate school (gap year)?
• Do you have an excellent command of English?

CURRENT OPPORTUNITY

We are looking for a talented individual to work with us at the CAID Department in the Investment and Policy Solutions Division to support the development and dissemination of the Green Growth Index and Simulation Tool of GGGI’s GGPM Program and support activities, including research under the unit’s workstreams.

The assignment will include the following but not limited to:

• work closely with the Green Growth Performance Measurement (GGPM) Team in the process of setting up a database, tools, and guidelines, arranging documentation, and performing the data collection, analysis, and reporting for the Green Growth Simulation Tool;
• conduct research on network analysis applications for relevant models and model parameters for one or more of the following topics in (a) energy and transport; (b) agriculture, forest, and land use; or (c) water, waste, and pollution;
• continuously adapt the database to incorporate changes and process improvements, and work with the GGPM team to ensure changes to incorporate network analysis codes and results are reflected in the website and Simulation Tool;
• create data visualization for reports, analysis, and website;
• support in drafting and editing a report for publications;
• maintaining dynamic excellence in knowledge and practices; and,
• support delivering capacity-building workshops/conferences targeted to both internal and external audiences.

QUALIFICATION

• Recent graduate in a Master’s- or enrolled in a PhD-level program in any economic and environmental field applying network analysis.
• Experience in designing, building, and using network science tools and models for policy analysis in (a) energy and transport; (b) agriculture, forest, and land use; or (c) water, waste, and pollution.
• A strong background in quantitative methods and data analysis; Proven computer literacy in standard office software applications skills; and the ability to work with or facilitate building quantitative models.
• Experience in applying programming software such as R and Python or Excel is preferred.
• Excellent English communication skills, particularly writing and/or editing experience in economics, energy efficiency, climate change, or human development.
• Ability to work/deliver under time pressure.
• Good interpersonal skills and ability to work collaboratively with colleagues from diverse cultural backgrounds.

SELECTION PROCESS

• Applications that do not adhere to the selection instructions may not be considered.
• Closing date: January 31, 2024
• Advancing candidates will be contacted shortly after the closing deadline.
• Applications submitted after the deadline will not be considered.
• GGGI evaluates applications based on eligibility requirements, the relevance of the academic study and work experience (if any), and the level of interest and motivation to contribute to development work
  **Due to the high volume of applications, only shortlisted candidates will be contacted.