ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Software Development, SQL, Python, Windows API, English, Thai

ประเภทงาน:

งานประจำ

• Maintain overall system efficiency by conducting daily monitoring, verifying system integrity, reviewing application and system logs, and ensuring completion of scheduled processes such as data backups. Provide user support and ensure optimal performance of the Local Area Network (LAN), including internet access.
• Implement and monitor system and network security through intrusion detection, firewall and VPN maintenance, and regular assessments of critical servers (e.g., DHCP, DNS, application and web servers).
• Work with internal users, clients, and stakeholders to gather and analyze system requirements for new development or system enhancement initiatives.
• Design system architecture, develop flowcharts and data models to illustrate functional logic, integration points, and data exchange across components.
• Identify system-related risks and propose mitigation strategies to ensure seamless implementation and long-term stability.
• Environmental Observation Station Integration.
• Ensure seamless integration, functionality, and data transmission between field-based observation stations and RIMES s central data systems.
• Collaborate with hardware and field operation teams to troubleshoot equipment or communication issues affecting data collection and transmission.
• Perform regular system maintenance, including software updates, backups, and performance checks. Set up automated alerts to detect and report system anomalies or failures.
• Monitor and maintain inventory of servers, sensors, and associated equipment; provide recommendations for necessary replacements or upgrades.
• Technical Advice, Testing, Validation, and Support.
• Develop and execute test plans, including test scripts and scenarios, to validate system functions against business or user requirements.
• Provide technical advice related to hardware configuration, system enhancement, and software acquisition, along with database, server, user access, and security management support.
• Coordinate with software development teams to support system integration and provide feedback from operational and user perspectives.
• Develop and maintain technical documentation, user manuals, system configuration records, troubleshooting guides, and security protocols.
• User & Application Development Support.
• Manage user accounts, including new account creation, permission control, and password reset requests.
• Support User Acceptance Testing (UAT) processes and troubleshoot functional issues and system errors identified during development or rollout.
• Coordinate with developers, IT support staff, and end users to diagnose and resolve application issues.
• Train users on systems access, cybersecurity, software use, customization options, and basic IT literacy as required.
• Liaison and Documentation.
• Act as a liaison between technical staff and end-users, interpreting project requirements into actionable technical specifications and system functions.
• Ensure consistent and complete technical documentation, including system design documents, user requirements, testing reports, and operational manuals.
• Support capacity-building efforts by facilitating training workshops and developing instructional materials for both users and IT personnel.
• Education.
• Bachelor s degree in Computer Science, Information Technology, Computer Engineering, ICT, or related field.
• Proficiency in system analysis methodologies, software development life cycle (SDLC), and business process modeling.
• Working knowledge of programming and database technologies (e.g., Java, Python, C++, MySQL, PostgreSQL).
• Familiarity with web technologies, API integration, and system architecture design.
• Basic understanding of network administration and protocols (e.g., TCP/IP, DNS, VPN).
• Knowledge of cybersecurity principles and system performance optimization.
• Experience.
• Minimum 3 years of experience in system analysis, application development, or IT infrastructure support.
• Experience in system documentation, troubleshooting, and user support.
• Prior experience working in a multi-project environment or regional/international development context is an asset.
• Personal Attributes.
• Strong analytical and problem-solving capabilities.
• Excellent interpersonal and communication skills.
• High attention to detail, initiative, and a commitment to quality.
• Ability to work independently and collaboratively in a fast-paced setting.
• RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

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

ประเภทงาน:

งานประจำ

• 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..

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Research, Thai, English

ประเภทงาน:

งานประจำ

• 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.