Experience:

5 years required

Skills:

Git, Python, R, TensorFlow, GIS, Thai, English

Job type:

Full-time

• A Bachelor s degree in Data Science, Computer Science, Geoinformatics, Statistics, Earth Sciences, or a related field, with a minimum of five (5) years of relevant professional experience in data science, preferably in geospatial or geophysical applications;.
• A Master s degree in related field with at least three (3) years of relevant experience.
• Strong proficiency in Python or R, with experience using data analytics libraries (e ...
• Solid understanding of machine learning concepts, time-series analysis, and statistical modeling.
• Familiarity with geospatial data formats (e.g., NetCDF, GRIB, GeoTIFF) and GIS tools is a plus.
• Familiarity with global and regional forecasting systems and platforms and experience working with climate datasets.
• Strong analytical, diagnostic, and systems-level problem-solving skills.
• Proven ability to interpret and communicate complex scientific findings to technical and non-technical audiences, including policy- and decision-makers.
• Ability to document technical work and communicate findings clearly with the project team.
• Capacity to manage multiple assignments under tight deadlines and work effectively in a cross-disciplinary, multicultural team environment.
• Minimum 3 years of experience in data science, preferably in geospatial or geophysical applications.
• Experience working with scientific computing and version control systems (e.g., Git).
• Personal Qualities.
• Conscientious and efficient in meeting commitments, observing deadlines, and achieving results.
• Self-driven and capable of working independently while maintaining accountability and initiative.
• Effective collaborator with the ability to work in multicultural, interdisciplinary teams and manage cross-sectoral engagement.
• Detail-oriented and results-focused, with adaptability in dynamic and evolving operational environments.
• Professional, respectful, and proactive in both independent and team-based work settings.
• Major Duties and Responsibilities.
• Collect, organize, and maintain large-scale structured and unstructured datasets from seismic, oceanographic, observational sources, and historical records.
• Contribute to the design and development of the tsunami scenario database, including data indexing, tagging, and retrieval functionality.
• Conduct exploratory data analysis (EDA) to identify trends, anomalies, and features relevant to support scenario-based modeling.
• Model Development.
• Collaborate with system architects and software developers to integrate data science models into the PRECISE platform.
• Develop probabilistic models to quantify uncertainty in tsunami impact forecasts, including scenario-based risk assessments and ensemble modeling techniques.
• Develop statistical and ML models to identify patterns, anomalies, and predictive signals for tsunami generation and propagation.
• Evaluate model performance and implement optimization strategies to improve prediction accuracy and computational efficiency.
• Document data sources, methodologies, models, and workflows to ensure reproducibility and transparency.
• Provide technical recommendations for future AI/ML tool integration based on findings and emerging trends.
• Other tasks.
• Support the development of visualization tools and dashboards for real-time data interpretation and communication with end users.
• Collaborate with cross-functional teams including researchers, domain experts, and developers to ensure effective system design and integration.
• Provide technical support and documentation, including system manuals, deployment instructions, and maintenance guidelines.
• Perform other duties as may be required by the Project Lead.
• Contract Duration.
• The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews..
• RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply..

Experience:

5 years required

Skills:

Research, Thai, English

Job type:

Full-time

• A Master s degree in Climatology, Meteorology, Atmospheric Science, Environmental Science, or a related field with a minimum of five (5) years of relevant professional experience in climatology or related areas is required.
• A Ph.D. in a related field may be considered in lieu of some experience, provided the candidate demonstrates strong applied expertise relevant to the position.
• Strong understanding of climate variability and weather-related hazards, including extreme rainfall, droughts, heatwaves, tropical cyclones, and severe storms, particul ...
• Proficiency in climate modeling, data processing, and visualization using R, Python, MATLAB, GIS, or other relevant statistical and geospatial tools.
• Familiarity with global and regional forecasting systems and platforms (e.g., ECMWF, CFS, GFS, WRF, RegCM), and experience working with climate datasets such as ERA5, CMIP6, CHIRPS, and CRU.
• Advanced understanding of seasonal and sub-seasonal prediction systems and their application in risk-informed planning and decision-making.
• Knowledge of climate risk assessment, disaster risk reduction (DRR), early warning systems (EWS), and climate change adaptation (CCA) concepts and planning frameworks.
• Demonstrated ability to generate and translate climate information into impact-based forecasts and advisory products relevant to agriculture, water resources, health, and disaster risk management.
• Experience in statistical downscaling, bias correction, and real-time error correction methods, including application of machine learning techniques.
• Proficiency in geospatial analysis, remote sensing data applications, and integration of spatial datasets into climate assessments.
• Strong analytical, diagnostic, and systems-level problem-solving skills.
• Proven ability to interpret and communicate complex scientific findings to technical and non-technical audiences, including policy- and decision-makers.
• Excellent communication and technical writing skills, including the development of scientific reports, policy briefs, proposals, training materials, and donor reporting.
• Strong stakeholder engagement and representation skills, and demonstrated ability to work effectively in cross-disciplinary, multicultural, and multi-stakeholder environments.
• Capacity to manage multiple assignments under tight deadlines while maintaining attention to detail and quality.
• Experience.
• A minimum of five (5) years of professional experience in operational climate forecasting, climate modeling, and climate data analysis.
• Experience collaborating with national meteorological and hydrological services, regional climate centers, governmental agencies, and/or international organizations.
• Demonstrated experience in developing climate products and integrating climate information into early warning systems or decision-support tools for climate-sensitive sectors such as agriculture, water resources, health, and disaster preparedness.
• Experience working with climate systems and hazard contexts in Southeast Asia and/or South Asia.
• Personal Attributes.
• Strategic thinker with strong analytical and solution-oriented capabilities in applied climate science.
• Self-driven and capable of working independently while maintaining accountability and initiative.
• Effective collaborator with the ability to work in multicultural, interdisciplinary teams and manage cross-sectoral engagement.
• Detail-oriented and results-focused, with adaptability in dynamic and evolving operational environments.
• Professional, respectful, and proactive in both independent and team-based work settings.
• Major Duties and Responsibilities.
• Lead the development and delivery of climate-related products and services under the Decision Support System (DSS), including seasonal and sub-seasonal forecasts, bulletins, and outlooks.
• Design scalable climate analysis tools and frameworks for integration into RIMES DSS across countries and projects.
• Analyze historical and real-time climate data to identify trends, anomalies, thresholds, and risks.
• Manage and apply climate datasets, assimilation data, and remote sensing for climate analysis and risk assessment.
• Develop and implement bias correction and error adjustment methods, including statistical and machine learning techniques, to enhance forecast accuracy.
• Integrate climate information into sector-specific early warning systems and planning processes across agriculture, water, health, and disaster risk management.
• Provide technical support and capacity strengthening to national and regional partners on climate data analysis, modeling, and application.
• Design and conduct trainings, workshops, and technical mentoring; produce manuals, guidance notes, and documentation to ensure sustainability and knowledge transfer.
• Collaborate across RIMES thematic teams to develop integrated, impact-based climate advisories and contribute to cross-sectoral resilience programming.
• Represent RIMES in technical forums, support resource mobilization, and maintain active engagement with meteorological agencies, donors, and development partners.
• Contribute to the design, testing, and documentation of forecasting tools and services, as well as to the preparation of reports, proposals, and related documentation.
• Perform other duties as assigned to support RIMES climate-related programs and institutional objectives.
• Contract Duration.
• The contract will initially be for one year and may be extended based on the satisfactory completion of a 180-day probationary period and subsequent annual performance reviews.