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Position Title: Hazard Risk Analyst (Drought) Open Period: 27 May 2025 – 26 June 2025 Background: The Regional Integrated Multi-Hazard Early Warning System for Africa and Asia (RIMES) is an international and intergovernmental institution, owned and managed by its Member States, for the generation and application of early warning information. RIMES evolved from the efforts of countries in Africa and Asia, in the aftermath of the 2004 Indian Ocean tsunami, to establish a regional early warning system within a multi-hazard framework for the generation and communication of early warning information, and capacity building for preparedness and response to trans-boundary hazards. RIMES was established on 30 April 2009, and was registered with the United Nations on 1 July 2009. RIMES operates from its regional early warning center located at the campus of the Asian Institute of Technology in Pathumthani, Thailand. Position Description: The Hazard Risk Analyst (Drought) will be responsible for monitoring, analyzing, and mitigating the impacts of drought across the region. The role involves managing drought-related datasets, developing contingency plans, automating monitoring systems, contributing to Post-Disaster Needs Assessments (PDNA), and applying AI/ML techniques for proactive drought risk reduction. This position requires a strong understanding of meteorological, hydrological, and agricultural drought indicators, as well as a keen ability to translate data into actionable insights for disaster preparedness and resilience planning. Duty station: TN-SMART Project Office, Tamil Nadu Disaster Risk Reduction Agency, Ezhilagam Annex Bld., Chennai, India. Type of Contract: Full-time, project-based contract Skills and Qualifications: Minimum Qualifications: Knowledge Master’s degree in atmospheric science, physics, agriculture and other related fields. Experience A maximum of three years of experience in system analysis, database management, or software support. Technical Skills: Expertise in calculating and interpreting SPI, SPEI, NDVI, VCI, rainfall deviation, and soil moisture anomalies. Familiarity with agricultural and hydrological data relevant to drought analysis. Experience with python, R and shell scripting. Ability to conduct system troubleshooting, debugging, and issue resolution. Application of ML models (regression, classification, clustering) for drought forecasting. Proficiency in technical documentation and user training. Personal qualities Analytical thinker with problem-solving skills. Strong attention to detail and ability to work under pressure. Self-motivated, adaptable, and capable of working in multicultural and multidisciplinary environments. Strong communication skills and ability to coordinate with stakeholders. Major Duties and Responsibilities: Drought Monitoring & Analysis: Track and assess drought conditions using multiple indicators (SPI, NDVI, rainfall anomalies, reservoir status, soil moisture, etc.). Generate weekly/monthly drought situation reports and dashboards. Integrate remote sensing, ground-based, and model data for comprehensive drought assessment. Contingency Planning & Risk Mitigation: Develop and update district-wise drought contingency plans in collaboration with line departments. Identify vulnerable regions, sectors (especially agriculture), and communities at risk. Recommend drought mitigation and adaptation measures based on data trends and risk profiles. Data Automation & Visualization: Automate the ingestion and processing of meteorological, hydrological, and agricultural datasets. Build region-wise interactive maps and graphs to visualize drought severity and trends. Set up alerts and thresholds for early warning dissemination using automated systems. PDNA and Impact Assessments: Support Post-Disaster Needs Assessments (PDNA) for drought events. Contribute to loss estimation, sectoral damage analysis, and recovery planning. Collaborate with field officers to validate ground reports and align with national/international PDNA frameworks. Application of AI/ML for Drought Risk Reduction: Use machine learning techniques for drought forecasting, vulnerability modelling, and scenario analysis. Develop AI-based decision-support tools to suggest adaptive actions (e.g., crop shift, irrigation management). Work with interdisciplinary teams to incorporate socio-economic and climate variables into predictive models. Coordination & Capacity Building: Liaise with meteorological, agriculture, irrigation, and disaster management departments. Conduct training and awareness sessions on drought monitoring and mitigation tools. Document workflows, SOPs, and best practices for institutional memory and scale-up. Contract Duration The contract will be for 1 year, subject to a 6-month probationary period, and annual performance review. How to Apply: Interested candidates should send your application letter, resume, salary expectation and 2 references to rimeshra@rimes.int by midnight of 26 June 2025, Bangkok time. Please state “Hazard Risk Analyst (Drought): Name “the Subject line of the email. Only short-listed applicants will be contacted. Ms. Dusadee Padungkul Head-Operational Support Regional Integrated Multi-Hazard Early Warning System AIT Campus, 58 Moo 9 Paholyothin Rd., Klong 1, Klong Luang, Pathumthani 12120 Thailand. RIMES promotes diversity and inclusion in the workplace. Well-qualified applicants particularly women are encouraged to apply. Job Type: Full-time Schedule: Monday to Friday Ability to commute/relocate: Triplicane, Chennai, Tamil Nadu: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Do you have any prior work experience with Non-Profit Organizations, International Organizations, or Inter-Governmental Organizations? If not, are you interested in working in such environments? Please elaborate briefly. Kindly specify your salary expectations. Education: Master's (Required) Experience: working with government : 1 year (Preferred) working with international organizations: 1 year (Preferred) working with NGOs: 1 year (Preferred) software support: 3 years (Preferred) SPI, SPEI, NDVI, VCI: 3 years (Preferred) Rainfall deviation : 3 years (Preferred) Soil moisture anomalies: 3 years (Preferred) Systems analysis: 3 years (Preferred) Database management: 3 years (Preferred) Language: English (Required) Location: Triplicane, Chennai, Tamil Nadu (Required) Application Deadline: 26/06/2025
