Vacancies at World Resources Institute

What you will do: 

Research and Design (80% time)  

• Support the design of the research methodology and execution plans  
• Present the research findings to the CAC global science team and other partners as may be requested  
• Ensure the geo-coding of data is accurate  
• Support in data entry, analysis, and interpretation to fit the set purpose 

Supervisory and Engagement (20% time)  

• Supervise the data analysis process  
• Supervise field research assistants to ensure the quality of data collected in the field is robust and meets QA/QC standards set out under the project  
• Support in organizing and running data and information-sharing events 

What you will need: 

• Education: You have a completed Ph.D. in Environmental Engineering/Civil Engineering/Atmospheric Sciences/Aerosol Science/Physics/Climate Sciences or a related quantitative field
• Experience: You have 3+ years of experience (PhD related work will be considered relevant work experience) in atmospheric science, air quality sampling, air quality research; the use of air quality instruments; handling and processing large data sets; field experiment environmental sensing/measurement; writing scientific publications including journals, blogs, book chapters, and policy briefs 
• Languages: You are proficient in spoken and written English and Kiswahili  
• Requirements: Existing work authorization is required where this position is based. WRI is unable to authorize visa work authorization

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What you will do: 

Research and Analysis (80% time)  

• Identify, extract, and process data across transformations and sectors  
• Analyze and summarize datasets and benchmarks/targets into metrics for identifying trends  
• Coordinate with the Systems Change Lab research team to assess the most relevant datasets for indicators 

Data Management (20% time)  

• Collaborate with external data providers to set up a data-sharing agreement  
• Contribute to producing knowledge products including data driven-blogs, visualizations and other publications  
• Contribute to the improvement of data processing workflows 

What you will need: 

• Education: You have a completed Master’s degree in engineering, atmospheric science, environmental health science, atmospheric and environmental chemistry, environmental science, or other physical sciences
• Experience: You have 3+ years of full-time relevant work experience in the areas of Physics, Chemistry, Environmental Studies, Atmospheric Sciences or Mathematics. You have experience in:
  • Data analytics/software
  • Survey design techniques
  • Field investigation methods
  • Atmospheric dispersion modelling techniques
  • Air quality assessment theories and practices
  • Working with Excel, database software, or large data sets