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Geospatial Data Science Intern – Urban Heat

About the program:

The Ross Center for Sustainable Cities (https://www.wri.org/cities) builds on WRI’s global and local experience in urban planning and mobility and uses proven solutions and action-oriented tools to make the fast-growing urban environment more resilient to new challenges. The Urban Development Program (https://www.wri.org/cities/urban-development) is committed to designing and influencing urban spaces that build resilience, improve health, and equitably connect people and opportunities. As part of the Data For Cool Cities Initiative , our data team is developing geospatial datasets, analytics and tools to support urban decision makers in implementing cooling infrastructure for reducing population exposure to extreme heat.

Internship Highlight:

In the internship, you will:

  • Collect, document, clean and analyze geospatial data for better assessing urban heat stress in different European Cities (Land Surface Temperature, Air temperature, tree canopy, buildings)
  • Perform data analysis on existing data, and support research for identifying alternative data sources (specific for European context) and calculating geospatial indicators
  • Develop spatial analysis and produce static and interactive maps for addressing use cases identified by our stakeholders: identifying urban hotspots, mapping priority areas for implementing cooling infrastructure, estimating cooling benefits of various cooling interventions scenarios, estimating population exposure to extreme heat
  • Implement heat resilient infrastructure scenarios using urban heat model and estimating cooling impact and benefits of multiple heat resilience interventions

You will be supported by the Cities Data team and Data lab colleagues: Data scientist, data engineers, heat-health specialists. And you will be collaborating with the Global Cities Data team in different WRI country offices (Mexico, India, Africa, Brazil)

You will report to the Data Product Manager of the Cities Data team.

What you will do:

  • You will contribute to advancing Urban heat modeling activities for and developing research for measuring the cooling benefits of Nature Based Solutions in Europen cities
  • You will learn to analyze large geospatial data and use cloud infrastructure for solving climate challenges and extracting insights using geostatistics and machine learning techniques
  • You will help in transforming data into recommendation for policy makers and city officials to drive urban planning strategies and climate action implementation. you will learn experience in documenting code, methodology and datasets
  • You will gain experience in developing compelling storytelling based in data visualization and maps and participate in writing blog posts to share research findings with the public.

    What you will need:

    • Interns at WRI Europe must be registered in a study program with a Dutch college or university for the full duration of the internship
    • Interns must have established approval from their University to undertake an internship before applying
    • Currently pursuing a degree in GIS, Geo-information and earth observation computer science, data science, computational urban planning, quantitative geography, environmental modelling
    • Must be registered in a study program with a Dutch college or university for the full duration of the internship
    • Confident use of Python and/or R
    • Familiarity with Geographic Information Systems (GIS), spatial analysis tools (QGIS, Google Earth Engine, Carto) and geospatial libraries (rasterstat, xarray, shapefile, geopandas, sf, rasterio, gee)
    • Familiarity with working with geospatial datasets (satellite imagery, climate data, census, urban features) and geospatial data formats (both raster and vector data)
    • Familiarity with statistics and geo-statistics concepts and methods
    • Strong written and verbal communication skills
    • Ability to document methodology
    • Verbal and written proficiency in English.
       

    Conditions of the internship:

    • This is a 6 month internship with a start date of March 10 2025.
    • This internship will be based at the WRI Europe office in the Hague with some flexibility to work from home.
    • This internship offers a reimbursement of 700 euros per month based on full-time working hours (32 hours per week).

     

    How to apply:

    Please submit a resume and cover letter by 12 January 2025. Applicants must apply through the WRI Careers portal to be considered. You are encouraged to link to any relevant blogs, projects or other pieces of work that demonstrate your suitability for the internship.

    About Us:

    Founded in 1982, World Resources Institute (WRI) is an independent, nonprofit global research organization that turns big ideas into action at the nexus of environment, economic opportunity, and human well-being. We are working to address seven critical challenges that the world must overcome this decade to secure a sustainable future for people and the planet: climate change, energy, food, forests, water, sustainable cities, and the ocean. WRI has a global staff of over 1,800 people with work spanning 60 countries. We have offices in Africa, Brazil, China, Europe, India, Indonesia, Mexico, Colombia and the United States, as well as a growing presence in other countries and regions.  
     

    The foundation of our work is delivering high-quality research, data, maps, and analysis to solve the world’s greatest environment and international development challenges and improve people’s lives. We work with leaders in government, business, and civil society to drive ambitious action and create change on the ground. Equally important, we bring together partners to develop breakthrough ideas and scale-up solutions for far-reaching, enduring impact.


    Our mission and values:

    WRI’s mission is to move human society to live in ways that protect Earth’s environment and its capacity to provide for the needs and aspirations of current and future generations.

    Our values are shared ideals that bind us together: Integrity, Innovation, Urgency, Independence, Respect.

     

    Our culture:

    WRI is committed to advancing gender and social equity for human well-being in our mission and applies this principle to our organizational and programmatic practices. We are committed to providing equal opportunities in employment, we embrace all diversity and encourage women, the LGBTQ+ community, persons with disabilities, Afro-descendants, and Indigenous people to apply. Recognizing our strong commitment to gender equality, WRI has also been awarded EDGE certification.

    Our team carefully reviews all applications. 

     

    Average salary estimate

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    $8400K

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    What You Should Know About Geospatial Data Science Intern – Urban Heat, World Resources Institute

    If you're passionate about using data to drive urban sustainability, then the Geospatial Data Science Intern position at the World Resources Institute (WRI) is your perfect match! This role is integral to the Data For Cool Cities Initiative, where you'll dive into geospatial datasets to understand and mitigate the effects of urban heat. Picture yourself collecting and analyzing data on land surface temperatures, air temperatures, and urban infrastructure like tree canopies and buildings to better assess heat stress in various European cities. You’ll have the chance to work closely with a talented team of data scientists and heat-health specialists while developing spatial analyses and producing engaging maps that inform policy makers about urban hotspots and cooling needs. Throughout this six-month internship, starting March 10, 2025, you’ll not only advance your skills in geostatistics and machine learning but also transform complex data into actionable insights to influence climate action and urban planning. This experience at WRI will be pivotal in enhancing your ability to tell compelling stories through data visualization and participating in insightful discussions through blogging about your findings. If you’re studying GIS, data science, or environmental modelling at a Dutch college or university, you could be one step closer to making a real-world impact. Join WRI and contribute to a sustainable future while gaining invaluable experience!

    Frequently Asked Questions (FAQs) for Geospatial Data Science Intern – Urban Heat Role at World Resources Institute
    What skills do I need to apply for the Geospatial Data Science Intern position at WRI?

    To apply for the Geospatial Data Science Intern position at WRI, you'll need a degree in GIS, Geo-information, data science, or a related field. Proficiency in Python and/or R, along with familiarity with GIS tools like QGIS and spatial analysis libraries, is essential. A good grasp of geospatial datasets and statistical concepts will also enhance your application.

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    What kind of projects will I work on as a Geospatial Data Science Intern at WRI?

    As a Geospatial Data Science Intern at WRI, you'll engage in exciting projects like analyzing urban heat stress by collecting and processing geospatial data. You'll also develop maps to identify urban hotspots and evaluate the benefits of cooling infrastructure interventions, contributing to the climate resilience of cities.

    Join Rise to see the full answer
    How long is the internship and what is the stipend for the Geospatial Data Science Intern role at WRI?

    The internship lasts for six months, starting on March 10, 2025. During this period, you’ll receive a monthly reimbursement of 700 euros based on a full-time schedule of 32 hours per week.

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    What is the application process for the Geospatial Data Science Intern role at WRI?

    To apply for the Geospatial Data Science Intern position at WRI, you’ll need to submit a resume and cover letter through the WRI Careers portal by January 12, 2025. Be sure to highlight relevant projects or publications in your application that show your suitability for the role.

    Join Rise to see the full answer
    Is remote work an option for the Geospatial Data Science Intern at WRI?

    Yes, the Geospatial Data Science Intern role at WRI allows for some flexibility to work from home, alongside your time in the office based in The Hague. This hybrid setup makes it easier for you to balance your internship with other responsibilities.

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    What will I learn during the Geospatial Data Science Internship at WRI?

    During the Geospatial Data Science Internship at WRI, you will learn hands-on skills in analyzing large geospatial datasets and using cloud infrastructure to tackle climate challenges. You'll also develop data visualization techniques and gain experience in documenting methodologies for research.

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    Will I work with a team during my internship at WRI?

    Absolutely! As a Geospatial Data Science Intern at WRI, you will collaborate with a dedicated team consisting of data scientists, heat-health specialists, and colleagues from global WRI offices. This teamwork will enhance your learning and contribute to impactful project outcomes.

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    Common Interview Questions for Geospatial Data Science Intern – Urban Heat
    Can you explain your experience working with geospatial datasets?

    In your answer, share specific projects where you’ve handled geospatial datasets. Discuss the types of data you worked with, any software used, and how you applied statistical methods to analyze the data. Highlight what you learned from these experiences.

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    How do you approach data cleaning and preparation?

    Describe your systematic approach to data cleaning. Mention any tools you use, how you check for accuracy and consistency, and your methods for handling missing values. Giving a specific example can also illustrate your process effectively.

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    What techniques do you use for spatial analysis?

    In your response, mention specific spatial analysis techniques you've employed, such as buffer analysis or spatial interpolation. Support your answer with examples of projects where you applied these techniques and the insights generated.

    Join Rise to see the full answer
    How proficient are you in Python and R for data analysis?

    Discuss the extent of your proficiency in Python and R, mentioning specific libraries you're comfortable with (like Pandas for Python or ggplot2 for R). Talk about a project where you effectively used these languages to solve data-related problems.

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    Can you provide an example of a map you've created and its purpose?

    Share details about a map project, including the tools used and the objective of the map. Explain how it was used to communicate important information or aid in decision-making. Focus on the results and feedback received.

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    What role does communication play in geospatial data science?

    Highlight the importance of clear communication when presenting complex data findings to stakeholders. Discuss how you tailor your communication style based on your audience and provide an example of successfully conveying data insights.

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    How do you stay updated on the latest trends in geospatial technology?

    Mention resources you follow, such as academic journals, industry blogs, or webinars. Explain your engagement with professional networks or communities that keep you informed about advancements and best practices in geospatial technology.

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    Describe a challenge you faced in a data project and how you overcame it.

    Discuss a specific challenge, what made it difficult, and the steps you took to overcome it. Focus on problem-solving strategies you employed and any lessons learned from the experience that could apply to the internship.

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    What interests you about working for WRI in the Geospatial Data Science Intern role?

    Share your motivation for applying, emphasizing WRI's mission and how it aligns with your personal values or career goals. Discuss the specific projects or initiatives at WRI that excite you and how you envision contributing.

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    Can you describe your experience in documenting code and methodologies?

    Talk about your approach to documentation, emphasizing the importance of clarity for future users. Give examples of how you’ve organized and presented your coding work and methodologies to ensure reproducibility and understanding.

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    WRI’s mission is to move human society to live in ways that protect Earth’s environment and its capacity to provide for the needs and aspirations of current and future generations.

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