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Research Programmer Intern (From 7,000,000 + Bonus) - Research And Project Development

Mức lương

Thoả thuận

Địa điểm

Hà Nội

Kinh nghiệm

Không yêu cầu

Xem mức lương thị trường cho vị trí này

Hạn nộp hồ sơ:

30/06/2026

(Còn 25 ngày)

Ứng tuyển ngay Lưu tin

Chi tiết tin tuyển dụng

Yêu cầu:

Quyền lợi:

Chuyên môn:

Mô tả công việc

About the Role

CECCS is recruiting Research Programmer Intern to support ongoing and upcoming research projects in environment, energy transition, climate change, and development-related policy challenges in Vietnam and ASEAN.

This internship is designed for strong students or recent graduates who want to apply their academic training such as data analysis, coding, statistics, economics, GIS, applied mathematics, or basic machine learning to real-world research problems.

At CECCS, interns will work in a serious research environment that values reliable data, clear documentation, reproducible workflows, and high-quality outputs. The work is practical and often requires checking details, revising outputs, validating information, and improving deliverables based on feedback.

This role is especially suitable for candidates who want to build research capacity, strengthen their academic profile, and explore future pathways in graduate study, scholarships, policy research, data science, or applied research.

Why Work With Us

CECCS works on applied research problems at the intersection of environment, energy, climate change, and development. Our projects are not only academic exercises; they are connected to real technical, economic, policy, and social challenges in Vietnam and ASEAN.

Research areas include:

Renewable energy resource assessment
Energy systems and energy transition analysis
Climate change and development economics
Electricity pricing policy
Carbon market simulation
Environmental and climate justice
GIS, remote sensing, and environmental data analysis
Applied machine learning, forecasting, optimization, and scientific computing

As a Research Intern, you will have opportunities to:

Learn domain knowledge across climate, energy, environment, and development policy.
Apply data, coding, statistics, GIS, economics, and analytical skills to real research projects.
Support research outputs such as reports, policy briefs, technical notes, working papers, and presentation materials.
Join workshops, seminars, and academic exchange activities with universities, researchers, and external partners.
Gain exposure to international-standard research practices, including documentation, reproducibility, review cycles, and technical quality control.

CECCS has operated for 10 years and has worked with ministries, public institutions, universities, and research partners. The center is also expanding collaborations with international scholars, universities, and climate-related research and investment organizations.

This is an opportunity to apply what you have learned in school data, code, economics, statistics, GIS, engineering, or applied mathematics to problems with real social, environmental, and policy significance.

Research Environment

CECCS provides a supportive but demanding research environment. Interns are expected to learn quickly, work carefully, communicate clearly, and take assigned work seriously.

The working style is built around:

Practical research workflows
Data validation and quality checking
Clear documentation
Reproducible analysis
Iteration and review cycles
Feedback from senior researchers
Careful communication of assumptions, methods, and results

This is not a light internship designed only for task completion. It is a research-oriented role for candidates who want to develop real analytical capacity through hands-on project work.

Tools and Research Infrastructure

To support effective research work, CECCS provides access to suitable tools and infrastructure depending on project needs.

These may include:

Professional AI tools for research productivity, literature review, coding support, outlining, and documentation.
Collaborative workflows involving documentation, versioning, reproducibility, feedback, and review.
Computational resources for tasks such as geospatial processing, optimization, large-scale model runs, or model training when appropriate.
Guidance from senior team members on data validation, research communication, technical workflows, and analytical standards.

These tools are provided primarily to support research quality. They also create a strong learning environment for interns who want to develop serious technical and analytical skills.

Research Exposure and Publication Opportunities

Depending on project needs and individual performance, Research Interns may have opportunities to contribute to:

Internal research notes and working papers.
Technical reports and project deliverables.
Conference submissions or journal-oriented outputs where appropriate.
Workshops, seminars, and academic exchange activities.
Collaborative research with external researchers and institutions, including international partners.

Publication is not guaranteed. However, strong contributors may gain meaningful exposure to academic-quality research, writing, review, and publication processes.

This experience may be especially valuable for students who are considering graduate study, research careers, policy research, scholarship applications, or international academic pathways.

Possible Research Areas

Research Interns may support one or more of the following areas depending on background, skills, and project needs.

1. Energy Systems & Energy Transition

Support research related to renewable energy, electricity demand, power system planning, energy transition scenarios, and energy-climate policy.

Relevant interests include:

Energy systems
Renewable energy
Electricity demand and supply
Scenario analysis
Energy policy
Data-driven energy research

2. GIS, Remote Sensing & Environmental Data

Support research using geospatial data, satellite data, land-use data, environmental indicators, and map-based evidence.

Relevant interests include:

GIS
Remote sensing
Spatial data
Land use
Climate and weather data
Environmental datasets

3. Data Science, Forecasting & Applied ML

Support research involving data cleaning, forecasting, visualization, applied machine learning, model testing, and reproducible workflows.

Relevant interests include:

Python, R, or Excel-based analysis
Data cleaning and visualization
Time-series data
Basic machine learning
Forecasting
Model validation

4. Economics, Policy & Climate-Development Analysis

Support research related to development economics, climate policy, electricity pricing, carbon markets, and environmental justice.

Relevant interests include:

Economics
Econometrics
Statistics
Public policy
Climate and development
Carbon markets
Electricity pricing

Job Description

1. Data Collection, Cleaning & Analysis

Research Interns will support the research team in collecting, organizing, and validating data from multiple sources, including websites, reports, public datasets, APIs, geospatial data, satellite data, academic papers, and policy documents.

Key responsibilities include:

Search, filter, and validate data from public and institutional sources.
Organize datasets related to electricity demand, weather, wind and solar resources, land use, infrastructure, policy indicators, economic variables, and environmental indicators.
Use Excel, Google Sheets, GIS tools, Python, R, or AI-assisted workflows where appropriate to clean, summarize, visualize, and check data.
Create summary tables tracking developments in science, technology, climate, energy, environment, and policy.
Cross-check data quality and flag inconsistencies, missing values, unclear assumptions, or questionable sources.
Support the preparation of structured datasets for analysis, mapping, forecasting, modeling, or reporting.

2. Research and Model Support

Research Interns will learn how research teams translate real-world problems into datasets, maps, models, simulations, and analytical outputs.

Key responsibilities include:

Support Python notebooks, spreadsheets, or computational workflows for data cleaning, visualization, model testing, or validation.
Help prepare inputs for GIS analysis, remote sensing workflows, time-series forecasting, machine learning experiments, or energy-system scenario models.
Compare model outputs, maps, charts, tables, or forecasts.
Write short analytical notes on what changed, what looks reasonable, what requires further checking, and what assumptions may affect results.
Assist with reviewing and improving analytical outputs.
Help maintain documentation so that data, assumptions, methods, and results can be reviewed by other team members.

3. Reporting, Documentation & Research Communication

Research Interns will support the preparation of research outputs for internal and external use.

Key responsibilities include:

Consolidate analytical findings into Word reports, PowerPoint presentations, Google Slides, or internal documentation.
Create clear charts, tables, figures, maps, and concise presentation slides.
Support the development of infographics and internal communication materials.
Document data sources, assumptions, methods, workflows, and limitations.
Participate in team discussions, review cycles, and research update meetings.
Communicate task progress clearly and raise questions when assumptions, data, or outputs require clarification.

Note: This role is for candidates who want to build reliable research outputs, not simply complete assigned tasks.

Yêu cầu ứng viên

1. Candidate Background

We welcome applications from 4th-year university students, recent graduates, or early-career candidates from fields such as:

Data Science
Computer Science / Information Technology
Economics
Statistics
Applied Mathematics
Engineering
Environmental Science
Geography / GIS / Remote Sensing
Public Policy
Energy, climate, or development-related disciplines

Candidates from other disciplines are also welcome if they can demonstrate strong analytical thinking, quantitative ability, technical learning capacity, or relevant project experience.

2. Technical and Analytical Skills

Required:

Strong analytical thinking and attention to detail.
Ability to read and understand English research materials, technical documents, reports, or datasets.
Proficiency in basic office tools such as Word, Excel, PowerPoint, Google Drive, Google Docs, and Google Sheets.
Familiarity with AI tools such as ChatGPT, Claude, Gemini, or similar tools for search, summarization, outlining, coding support, or productivity.
Willingness to learn new tools, methods, and domain knowledge.
Ability to organize information clearly and communicate progress in a structured way.

Preferred but not required:

Python, R, or other programming experience.
GIS or remote sensing exposure.
Data cleaning, visualization, or dashboarding experience.
Basic machine learning or time-series forecasting exposure.
Econometrics, statistics, optimization, simulation, or operations research background.
Experience with energy systems, environmental data, climate data, or policy analysis.
Prior research projects, coursework, thesis work, competitions, or technical portfolio.

You do not need to be an expert in all these areas. However, you should show evidence that you can learn technical workflows seriously and independently.

3. English Requirement

Candidates should be able to read and understand English documents, including reports, datasets, technical materials, and research papers.

Basic English communication is a plus. An IELTS score around 6.0 or equivalent ability is helpful, but practical reading comprehension and willingness to work with English materials are more important.

4. Personal Qualities

We are looking for candidates who are:

Careful, responsible, and organized.
Curious about research, data, modeling, and real-world policy problems.
Comfortable working through ambiguity with guidance from senior researchers.
Able to learn new tools quickly.
Able to communicate progress clearly and ask precise questions.
Willing to check details, revise outputs, and improve work quality.
Serious about learning research methods and contributing to meaningful projects.

This role is not designed for candidates looking only for a light internship or a simple CV-padding experience. It is best suited for students who want to develop real research capacity through demanding, practical work.

Role Fit

This position is suitable for candidates who may not yet have extensive professional experience but have strong potential, discipline, and technical curiosity.

The strongest candidates are likely to be students or recent graduates who:

Enjoy working with data, models, code, maps, or quantitative analysis.
Want to apply what they have learned in school to real-world climate, energy, and development problems.
Are willing to learn domain knowledge beyond their original major.
Can work carefully and independently after receiving guidance.
Are interested in building a serious research profile.
May be considering future pathways in research, graduate study, policy analysis, data science, or international academic programs.

Applicants should clearly express their technical strengths, relevant coursework, project experience, research interests, and learning goals in their CV or cover letter so that we can assess fit properly.

Application Note

When applying, please include a CV and, if possible, a short cover letter or statement explaining:

Your academic background and current status.
Relevant technical skills, such as data analysis, coding, GIS, statistics, economics, ML, optimization, or modeling.
Any research projects, coursework, thesis work, competitions, or portfolio items that show your analytical ability.
Why you are interested in applying technical skills to environment, energy, climate, or development-related problems.
What you hope to learn or develop through this internship.

Candidates are encouraged to be specific. We value clear evidence of ability, seriousness, curiosity, and willingness to learn.

Quyền lợi

Full-time stipend from 7,000,000 VND/month; part-time stipend negotiable.
Professional research environment with exposure to international-standard workflows.
Opportunities to participate in ministry-level, state-level, or institutionally supported science and technology projects.
Opportunities to develop technical skills in forecasting, GIS, remote sensing, machine learning, transfer learning, optimization, model validation, visualization, and research communication.
Exposure to workshops, seminars, and academic exchange activities with universities, researchers, and external partners.
Opportunities to contribute to research notes, working papers, reports, conference submissions, or publication-oriented outputs depending on project needs and performance.
Opportunities to build a stronger academic and professional profile through serious research work.
Opportunities to expand your network in climate, energy, environment, development policy, and applied research.

Thiết bị làm việc

Được cấp Máy tính

Địa điểm làm việc (đã được cập nhật theo Danh mục Hành chính mới - thêm quận/huyện cũ tương ứng để dễ dàng tra cứu)

- Hà Nội: Phường Vĩnh Tuy (quận Hai Bà Trưng, quận Hoàng Mai cũ)

Thời gian làm việc

Thứ 2 - Thứ 7 (từ 08:30 đến 17:30)

Cách thức ứng tuyển

Ứng viên nộp hồ sơ trực tuyến bằng cách bấm Ứng tuyển ngay dưới đây.

Hạn nộp hồ sơ: 30/06/2026

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114 Trần Duy Hưng, phường Trung Hoà, quận Cầu Giấy, Hà Nội

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Danh mục Nghề liên quan

Công nghệ Thông tin Data Science Data Scientist Việc làm IT

Kỹ năng cần có

Python GIS Data Analysis Machine Learning Analytical thinking Coding Visualization R Research Skills Data Cleaning Forecasting Statistics Optimization Economics quantitative ability technical learning capacity applied mathematics econometrics simulation operations research

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Kỹ năng nên có

Policy Analysis energy systems environmental data climate data research projects thesis work competitions technical portfolio

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Hà Nội Phường Vĩnh Tuy - Hà Nội

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