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Junior Research Programmer (From 17,000,000–24,000,000 VND/Month, Plus Performance-Based Bonus) Energy Modelling, Scientific Computing & Project Development Research And Project Development Track

Mức lương

17 - 24 triệu

Địa điểm

Hà Nội

Kinh nghiệm

1 năm

Tra cứu lương thị trường việc làm

Hạn nộp hồ sơ:

30/06/2026

(Còn 24 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 a Junior Research Programmer to support research and project development in energy modelling, scientific computing, environmental data analysis, and climate-development research.

This role is designed for candidates who already have a solid technical foundation in programming, data processing, computational modelling, optimization, forecasting, GIS, remote sensing, applied machine learning, or scientific computing — and who want to apply these skills to serious research problems in energy, environment, climate change, and development policy.

Compared with the Research Programmer Trainee position, this role requires stronger technical ownership, higher independence, and greater ability to connect data, models, assumptions, documentation, and research outputs. The Junior Research Programmer is expected not only to support workflows, but also to help develop, improve, validate, and document them for real project use.

Candidates do not need to already be climate or energy specialists. However, they should be able to learn complex domain knowledge quickly and work with interdisciplinary research questions that involve technical, economic, policy, and environmental dimensions.

At CECCS, the work is practical, data-driven, and research-oriented. Outputs are expected to be reliable, reproducible, and suitable for research deliverables, policy-facing outputs, technical reports, and potentially publication-oriented work.

This position is especially suitable for candidates who want to build a serious technical research profile and may later pursue advanced research roles, graduate study, scholarships, technical policy analysis, research management, or international academic and policy research pathways.

Why Work With Us

CECCS works on applied research problems at the intersection of environment, energy transition, climate change, and development. Our work is 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 modelling
Power system planning and renewable integration
Operations research and optimization
Scenario modelling and resource planning
Political techno-economic analysis
Carbon market simulation
Electricity pricing policy
Environmental and climate justice
GIS, remote sensing, and environmental data analysis
Applied machine learning, forecasting, and scientific computing

As a Junior Research Programmer, you will have opportunities to:

Work on real research problems that require careful computation, reproducible workflows, and high-quality outputs.
Apply programming, data science, AI, optimization, geospatial analysis, forecasting, and numerical modelling to practical climate-energy-development questions.
Work directly with researchers with strong academic and applied backgrounds.
Support both research execution and early-stage project development, including technical scoping, data assessment, workflow design, and research planning.
Contribute to reports, working papers, policy briefs, technical deliverables, and publication-oriented outputs where appropriate.
Gain exposure to international-standard research practices, including documentation, reproducibility, versioning, review cycles, technical validation, and quality control.
Participate in workshops, seminars, and academic exchange activities with universities, researchers, and external partners.

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 use technical skills not only to complete assigned tasks, but to help build research tools, evidence, and analytical capacity for meaningful climate, energy, and development problems.

Research Environment

CECCS provides a supportive but demanding research environment. The Junior Research Programmer is expected to work with meaningful independence while still collaborating closely with senior researchers and project teams.

The working style is built around:

Reproducible computational workflows
Careful data processing and validation
Transparent assumptions and model logic
Technical documentation and versioning
Debugging, testing, and quality control
Iterative improvement of models and outputs
Scientific communication of methods, uncertainties, and limitations
Review cycles with senior researchers
Practical translation of research questions into data, models, and deliverables

This role is not designed for candidates who only want to execute narrow technical tasks. It is best suited for candidates who want to grow into stronger research programmers, technical analysts, research associates, or project-oriented researchers.

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, debugging, outlining, and documentation.
Collaborative workspaces built around documentation, versioning, reproducibility, task tracking, and review cycles.
Computational hardware or cloud resources for intensive tasks such as optimization, large-scale model runs, geospatial processing, simulation, or model training when appropriate.
Access to relevant datasets, research materials, project documentation, and technical references.
Guidance from senior researchers on model design, workflow structure, validation, research communication, and project development.

These resources are provided primarily as work-enabling tools. They also create a valuable environment for candidates who want to develop advanced technical, analytical, and research capacity.

Research Exposure and Publication Opportunities

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

Internal working papers and research deliverables.
Technical reports, policy briefs, and project outputs.
Conference submissions or journal-oriented outputs where appropriate.
Research codebases, computational workflows, model documentation, and reproducible analytical pipelines.
Project concept notes, technical proposals, and research plans for future initiatives.
Academic exchange and collaboration with external researchers and institutions, including experienced international collaborators.

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

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

Specialty Tracks

Junior Research Programmers may contribute to one or more of the following tracks depending on skills, background, and project needs.

1. Energy Systems, Optimization & Numerical Modelling

This track focuses on power systems, renewable integration, operations research, scenario modelling, resource planning, and numerical workflows for energy-climate questions.

Relevant areas include:

Energy systems modelling
Renewable energy resource assessment
Power systems and grid integration
Operations research
Optimization modelling
Scenario modelling
Resource planning
Numerical simulation
Energy-climate policy analysis

2. Remote Sensing, GIS & Environmental Data

This track focuses on satellite data, geospatial analysis, land use, climate and environmental datasets, map-based evidence, and spatial validation workflows.

Relevant areas include:

GIS and spatial data processing
Remote sensing and satellite-derived datasets
Land-use and environmental data analysis
Climate and weather data
Spatial validation workflows
Map-based visualization
Geospatial pipelines and reproducible spatial analysis

3. Machine Learning, Forecasting & Scientific Computing

This track focuses on transfer learning, time-series forecasting, applied machine learning, Python/R/Julia pipelines, reproducible notebooks, and model validation.

Relevant areas include:

Python, R, or Julia programming
Applied machine learning
Transfer learning
Time-series forecasting
Scientific computing
Model validation
Reproducible notebooks and analytical pipelines
Data visualization and model comparison

4. Research and Project Development

This track focuses on turning research ideas into structured project concepts, technical workflows, research plans, and fundable or implementable initiatives.

Relevant areas include:

Technical scoping for new research projects
Data availability assessment
Literature and method review
Research design and workflow planning
Concept note and proposal support
Innovation initiatives in climate, energy, environment, and development
Translating policy or development questions into analytical frameworks

Job Description

1. Data Collection, Processing & Analysis

The Junior Research Programmer will collect, clean, validate, structure, and document datasets from multiple sources, including reports, APIs, satellite and geospatial sources, academic papers, public databases, and project-specific materials.

Key responsibilities include:

Collect, clean, validate, and document datasets for research and project development use.
Work with tabular data, geospatial layers, satellite-derived data, time-series data, policy data, economic indicators, environmental datasets, and model outputs.
Build reusable data-processing workflows that can be checked, updated, documented, and connected to research models and reports.
Use Python, R, Julia, GIS tools, spreadsheets, or AI-assisted workflows where appropriate.
Check data quality, identify missing values, outliers, inconsistent definitions, and source limitations.
Prepare datasets for forecasting, optimization, GIS analysis, remote sensing workflows, applied machine learning experiments, or energy-system models.
Support the creation of internal data assets that can be reused across research projects.

2. Research Model Development

The Junior Research Programmer will support the development, adaptation, execution, validation, and documentation of computational workflows for applied research projects.

Key responsibilities include:

Develop or adapt workflows for time-series forecasting, remote-sensing analysis, transfer learning, optimization, and energy/environmental scenario modelling.
Translate real-world research questions into model inputs, assumptions, features, constraints, scenarios, and validation checks.
Build reproducible Python, R, or Julia workflows for data processing, model execution, comparison, visualization, and reporting.
Adapt methods from scientific papers into practical research workflows suitable for CECCS projects.
Work with a small research team to test outputs, document assumptions, debug issues, and improve technical quality.
Run experiments, compare outputs, identify unexpected results, and suggest improvements.
Support model validation by checking outputs against known patterns, benchmarks, literature, empirical data, or expert review.
Maintain structured documentation so workflows can be reviewed, reproduced, and improved by other team members.

3. Research and Project Development

The Junior Research Programmer will also support early-stage research and project development activities, especially where technical scoping, data assessment, and analytical design are required.

Key responsibilities include:

Support the development of research plans for future projects and innovation initiatives.
Conduct preliminary literature, data, and method reviews to assess feasibility.
Help translate broad research or policy questions into analytical frameworks, data requirements, model structures, and workflow plans.
Support the drafting of concept notes, technical outlines, project proposals, and methodological sections.
Identify relevant datasets, tools, models, and computational approaches for new research directions.
Assist senior researchers in preparing project ideas related to energy transition, climate policy, carbon markets, electricity pricing, environmental justice, renewable energy assessment, or development economics.
Help estimate technical complexity, data availability, and workflow requirements for proposed research activities.

4. Reporting, Visualization & Documentation

The Junior Research Programmer will help convert computational outputs into research deliverables that can be understood by technical and non-technical audiences.

Key responsibilities include:

Compile analytical outputs into scientific reports, policy briefs, technical notes, or presentation decks.
Prepare clear charts, maps, tables, figures, and visual assets that communicate findings accurately.
Draft research plans for future projects and innovation initiatives.
Document code, data sources, assumptions, methods, limitations, and model logic.
Support internal reviews by explaining workflows, outputs, uncertainties, and technical trade-offs.
Contribute to reproducible research practices through organized files, notebooks, versioning, and clear documentation.
Support the preparation of workshop, seminar, or presentation materials where needed.

Note: This role is for candidates who want to build reliable research outputs and computational workflows, not just finish assigned tasks.

Yêu cầu ứng viên

1. Candidate Background

We welcome applications from candidates with a Bachelor’s degree, or equivalent demonstrated ability, in fields such as:

Environmental Engineering
Computer Science
Data Science
Data Analytics
Statistics
Applied Mathematics
Engineering
Climate or Energy Studies
Remote Sensing
Geography / GIS
Sustainable Development
Economics or quantitative policy-related fields

Minimum experience:

At least 1 year of relevant experience through work, internship, research assistantship, thesis, technical project, competition, or applied research experience.

This experience does not need to come only from a formal full-time job. Strong academic projects, research experience, coding portfolios, technical coursework, or competition projects may also be considered.

2. Technical Skills

Required:

Solid foundation in at least one programming language for data processing, preferably Python, R, or Julia.
Ability to work with structured data and build reproducible data-processing workflows.
Ability to translate research questions into datasets, assumptions, analytical steps, model inputs, and validation checks.
Strong analytical and logical thinking.
Ability to read technical documents, research papers, reports, and model documentation in English.
Ability to document code, methods, assumptions, and outputs clearly.
Proficiency with documentation and productivity tools such as Word, Excel, PowerPoint, Google Drive, Google Docs, and Notion.
Proficiency, or strong ability to adapt, with AI tools such as ChatGPT, Gemini, Claude, or similar tools to enhance research productivity.

Preferred:

Experience with computational modelling, optimization modelling, operations research, forecasting, or applied machine learning.
Experience with GIS, remote sensing, satellite-derived data, or spatial analysis.
Experience with time-series forecasting or model validation.
Experience with energy systems, environmental data, climate data, or policy-related datasets.
Experience adapting methods from scientific papers into code or analytical workflows.
Experience supporting research proposals, concept notes, technical plans, or project development is a plus.
Familiarity with reproducible research practices, notebooks, version control, or structured project documentation.

Candidates do not need to master all these areas. However, they should show evidence of technical maturity, independent learning ability, and readiness to work with complex research problems.

3. English Requirement

Candidates should be proficient in English, especially for reading technical documents, academic papers, project materials, and research reports.

An IELTS score around 7.0 or equivalent is preferred. However, practical ability to read, understand, and work with English research materials is the most important requirement.

4. Personal Qualities

We are looking for candidates who are:

Careful, responsible, and organized.
Technically curious and motivated by complex research problems.
Comfortable debugging, testing, revising, and improving workflows.
Able to learn new tools and domains quickly.
Able to communicate progress, blockers, assumptions, and uncertainties clearly.
Comfortable working through ambiguity with guidance from senior researchers.
Serious about research quality, reproducibility, and analytical reliability.
Interested in applying technical skills to problems with social, economic, environmental, and policy significance.

This role is best suited for candidates who want to grow into stronger technical researchers, research programmers, project development analysts, research associates, or graduate-level researchers.

Role Fit

This position is especially suitable for candidates who are technically capable, analytically strong, willing to learn by doing, and motivated by real projects rather than classroom-style assignments only.

The strongest candidates are likely to be those who:

Have a solid foundation in Python, R, Julia, or similar tools.
Enjoy working with data, models, code, maps, simulations, or quantitative analysis.
Are willing to learn energy, climate, environment, and development-related domain knowledge.
Can turn messy real-world questions into structured data, assumptions, models, workflows, and outputs.
Are comfortable with debugging, validation, documentation, and iteration.
Can support both technical research and early-stage project development.
Want to build a serious technical research profile.
May be considering future pathways in research, graduate study, technical policy analysis, data science, project development, or international academic programs.

Applicants should clearly express their strengths, goals, technical skills, and relevant project experience 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 relevant experience.
Programming skills, especially in Python, R, Julia, or similar tools.
Experience with data processing, modelling, optimization, forecasting, GIS, remote sensing, applied ML, or scientific computing.
Experience with research projects, thesis work, technical coursework, competitions, coding portfolio, or previous work experience.
Any experience supporting project development, research planning, concept notes, proposals, or methodological design.
Why you are interested in applying computational skills to energy, climate, environment, or development-related research.
What kind of technical, research, or project development capacity you hope to build through this role.

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

Quyền lợi

Monthly compensation from 17,000,000–24,000,000 VND/month, plus performance-based bonus.
Professional research environment with access to international research projects.
Opportunities to participate in ministry-level, state-level, or institutionally supported science and technology projects.
Opportunities to support both research execution and new project development.
Opportunities to develop technical skills in forecasting, GIS, remote sensing, machine learning, transfer learning, optimization, model validation, visualization, and research communication.
Opportunities to work with computational workflows, applied models, geospatial data, climate-energy datasets, and policy-relevant research problems.
Exposure to workshops, seminars, and academic exchange activities with universities, researchers, and external partners.
Opportunities to contribute to working papers, technical reports, project proposals, conference submissions, or publication-oriented outputs depending on project needs and performance.
Opportunities to build and expand your professional, academic, and research network.
Opportunities to strengthen your research profile for future graduate study, scholarships, research roles, or international academic pathways.

Thiết bị làm việc

Được cấp Máy tính

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Thời gian làm việc

Thứ 2 - Thứ 7 (từ 08:30 đến 17:30)

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Quy mô:

10-24 nhân viên

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

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Công nghệ Thông tin Data Science Data Engineer Việc làm IT

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