Position Title: Social Science Expert
Open Period: 21 June 2024 – 20 July 2024
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.
Position Description: The Social Science Expert consulting service is to support TNSMART.
Contract Type: Full-Time Contract
Duty station: TNSDMA office at Chennai, Tamil Nadu, India.
Skills and Qualifications:
Knowledge
Doctorate or Master’s degree in Social science, Social work , or a closely related field.
Experience
Minimum of 5 years experience in related field.
Personal qualities
Excellent interpersonal skills; team-oriented work style; pleasant personality; strong desire to learn and undertake new challenges; a creative problem-solver; willingness to work hard; interest and experience in working in a multicultural environment.
Contract Duration
The contract will be for 1 year, subject to a 6-month probationary period, and annual performance review
Major Duties and Responsibilities:
Social science expert will report to Head - Hydromet, with supervision of the [Project coordinator], and in coordination with others in the Team, and shall have the following specific tasks:
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Design and implement crowd-sourced information gathering mechanisms, utilizing digital platforms and community engagement strategies to collect real-time data on disaster risks, impacts, and community needs.
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Develop customised disaster management surveys tailored to specific hazards, contexts, and target populations, incorporating socio-economic, cultural, and gender perspectives.
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Study of the livelihood programmes and their influence in enhancing the coping capacity of community to manage disaster impact
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Conduct social vulnerability assessments to identify and prioritise vulnerable groups, areas, and assets at risk of disasters, using participatory methods and GIS tools to map social vulnerabilities.
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Design and implement risk communication strategies to disseminate timely and accurate information on disaster risks, preparedness measures, and response protocols to target audiences, utilising various communication channels and formats.
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Facilitate participatory CBDRM processes, working in close coordination with multi sectoral departments and local bodies leading to Disaster Resilient Villages, Towns, Cities and State.
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Evaluating the efficacy of Capacity Building Programmes carried out for Community First Responders, Aapda- Mitra Volunteers
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Improving NGO-GO-CSO Co-ordination and Institutionalising Inter-Agency Coordination.
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Improving the Coordination with UNICEF and UNDP
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Leveraging Outreach activities with CSR Support DRR for the vulnerable locations in the catchment of Private Institutions with the approval of authorities
How to Apply: Interested candidates should send your application letter, resume, salary expectation and 2 references in PDF format to rimeshra@rimes.int by midnight of 20 July 2024, Bangkok time. Please state “Social Science Expert (TNSDMA): Your Name” the Subject line of the email. Only short-listed applicants will be contacted.
Ms. Dusadee Padungkul
Head, Department of 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.