Job Description

Research and Project Development

Research Programmer Intern

Why work with us

At CECCS, you’ll work on real research problems in environment–energy–climate change, alongside a young, dynamic team and experienced researchers. Our work is practical, data-driven, and often requires iterating, debugging, and improving outputs until they are genuinely reliable.

You will also have opportunities to:

  • Learn directly from researchers with strong academic and applied backgrounds

  • Work on problems that require careful computation, reproducible workflows, and high-quality outputs

  • Apply techniques you’ve learned (data science / AI / optimization / geospatial / modeling) to real-world projects, not just classroom exercises

Tools and resources provided for the role

To do the work effectively, we provide access to professional tools and infrastructure (as needed), such as:

  • High Performance Computing Cluster (HPCC) access for computationally intensive tasks (e.g., optimization, large-scale runs, or model training when appropriate)

  • Premium AI subscriptions for research productivity (e.g., ChatGPT Plus, Gemini Advanced/Pro, NotebookLM Pro, etc., depending on availability and task needs)

  • A collaborative workspace built around practical research workflows (documentation, versioning, reproducibility, review cycles)

These are provided primarily as work-enabling tools—but they also make a meaningful difference in how much you can learn and build during the internship.

Research exposure and publication opportunities

Depending on project needs and your performance, you may have opportunities to contribute to:

  • Internal working papers and research deliverables

  • Conference submissions and/or journal-oriented outputs (where appropriate)

  • Collaboration and academic exchange with external researchers and institutions

    • including experienced international collaborators (e.g., US-based academic partners)

We will always keep expectations objective and realistic: publication is not guaranteed, but strong contributors may get meaningful exposure to academic-quality work and writing processes.

JOB DESCRIPTION

1. Support in Data Collection & Analysis

  • Search, filter, and validate data from various sources (websites, reports, etc.).

  • Use tools (Excel, Google Sheets, Python – if applicable) to organize, process, and visualize data.

  • Utilize AI tools (e.g., ChatGPT) to process or summarize information.

  • Create summary tables tracking new developments or policies in science and technology fields.

2. Support in Operations Model Development

  • Develop an understanding of real-world operational conditions and constraints in the power/energy sector and related environmental processes.

  • Adapt proven methods from the literature into practical, fit-for-purpose working models.

  • Translate these conditions into computational model elements and features using Python, Julia (clear, well-documented code expected).

  • Execute, compare, and validate models to explore alternative scenarios and pathways.

  • Work in a small team to ensure model analysis is rigorous.

3. Reporting & Documentation

  • Help consolidate analytical results into reports (Word, PowerPoint, Google Slides).

  • Create clear and concise presentation slides.

  • Participate in infographic creation and support internal communications.

💡 You will be supporting this workflow, contributing discrete, well-scoped components under senior guidance while continuously learning on the fly.

REQUIREMENTS

1. Education & Background

  • 4rd-year university students or recent graduates from fields such as Environment, Economics, Data Science, IT, or any discipline with strong analytical thinking.

  • No in-depth experience required, but interns must be eager to learn and willing to acquire new knowledge.

2. Basic Skills

  • English: Able to read and comprehend documents; basic communication is a plus (IELTS ~6.0+ or equivalent).

  • Proficient in office tools (Word, Excel, PowerPoint), familiar with Google Drive/Docs, Notion.

  • Familiar with AI tools (ChatGPT, Claude AI, etc.) for search, summarization, and outlining tasks.

  • Bonus: Experience with Python, GIS, or other data analysis tools (you’ll be guided – no need to be an expert).

3. Personal Qualities

  • Be a dynamic learner: quickly absorb new analytical tools, coding libraries, and domain knowledge as project needs evolve.

  • Careful, responsible, and organized.

  • Proactive, curious, and not afraid to try new things.

  • Friendly, communicative, and supportive team player.

  • Able to commit to a minimum of 3 months; longer-term commitment is highly welcomed.

BENEFITS

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Who this role fits best

This internship is especially suitable if you are:

  • Strong in coding and technical problem-solving (Python/data workflows), and/or

  • Seriously interested in research, learning-by-doing, and improving outputs through iteration

  • Motivated by real projects, not just “finish-and-submit” assignments

  • Students from strong quantitative programs (Data Science, AI, Computer Science, Engineering, etc.) with solid academic performance are encouraged to apply.

  • Stipend:

    • Full-time: From 7,000,000 VND/month.

    • Part-time: Negotiable (based on hours and performance).

  • Clear path to full-time employment as an Officer/Staff.

  • Opportunity to participate in international research projects, enhancing English proficiency.

  • Receive training and guidance on data analysis, AI tools, reporting skills, and foundational knowledge in environment and energy sectors.

  • Flexible working schedule (can be arranged for students); full-time availability preferred.

  • Young, dynamic environment with long-term growth potential for suitable candidates.

💡 Note: We highly value your learning spirit and willingness to "try – fail – improve."

Please clearly express your strengths and goals in your CV/cover letter so we can best support your internship journey. Good luck!

 FAQs

  • At CECCS, you’ll work on real research problems in environment–energy–climate change, alongside a young, dynamic team and experienced researchers. Our work is practical, data-driven, and often requires iterating, debugging, and improving outputs until they are genuinely reliable.

    You will also have opportunities to:

    • Learn directly from researchers with strong academic and applied backgrounds

    • Work on problems that require careful computation, reproducible workflows, and high-quality outputs

    • Apply techniques you’ve learned (data science / AI / optimization / geospatial / modeling) to real-world projects, not just classroom exercises

    Tools and resources provided for the role

    To do the work effectively, we provide access to professional tools and infrastructure (as needed), such as:

    • High Performance Computing Cluster (HPCC) access for computationally intensive tasks (e.g., optimization, large-scale runs, or model training when appropriate)

    • Premium AI subscriptions for research productivity (e.g., ChatGPT Plus, Gemini Advanced/Pro, NotebookLM Pro, etc., depending on availability and task needs)

    • A collaborative workspace built around practical research workflows (documentation, versioning, reproducibility, review cycles)

    These are provided primarily as work-enabling tools—but they also make a meaningful difference in how much you can learn and build during the internship.

    Research exposure and publication opportunities

    Depending on project needs and your performance, you may have opportunities to contribute to:

    • Internal working papers and research deliverables

    • Conference submissions and/or journal-oriented outputs (where appropriate)

    • Collaboration and academic exchange with external researchers and institutions

      • including experienced international collaborators (e.g., US-based academic partners)

    We will always keep expectations objective and realistic: publication is not guaranteed, but strong contributors may get meaningful exposure to academic-quality work and writing processes.

  • If you are shortlisted, you will receive an email with a link to choose your interview time. Please note that due to limited interview slots, we encourage you to schedule your interview as soon as possible upon receiving the email. Interviews are typically held within 2–3 days after the invitation is sent. If you are not selected, we will notify you via email once the final candidate has been confirmed.

  • Our hiring process includes two stages:

    1. An online test, which you will complete and submit through a provided form.

    2. A single in-person interview at our office if you pass the initial screening.

  • Our company culture values continuous learning, self-discipline, and deep focus. As a research-driven organization, the work here tends to be more individual than team-based, with a strong emphasis on technical depth and logical thinking. Most of our team members are in their 20s and 30s, which makes for a relaxed and friendly work environment despite the intellectually demanding nature of our projects.

  • We’re a compact team composed solely of data analysts and researchers focused on environmental, economics, energy, renewable energy and climate-change studies. New team members will independently tackle diverse project components and, when needed, collaborate in small teams.

  • Headquarters and most staff are based in Hà Nội + remote collaborators across from San Diego, to Galway, to Toronto, to Atlanta, to lowa, to Chapel Hill, across multiple time zones.

  • You can expect to hear from us within 1–2 weeks after submitting your application — possibly sooner, depending on the volume of applicants and internal review timelines.