Responsibilities

- Engage with government departments, public institutions, universities, civil society organisations and other stakeholders to initiate conversations and build long-term institutional relationships.
- Conduct stakeholder, policy and sectoral research, including stakeholder mapping, ecosystem assessments, field visits and analysis of relevant institutional and regulatory frameworks.
- Prepare meeting notes, research briefs, presentations, concept notes, policy recommendations and other project documentation, translating complex technical, legal and policy concepts into accessible language.
- Plan and facilitate workshops, consultations, roundtables and other stakeholder engagements.
- Understand government priorities and challenges, and identify potential partnerships, datasets, use cases and opportunities for collaboration.
- Coordinate with internal teams and external stakeholders to develop partnerships and support implementation through roadmaps, guidance materials, training resources and capacity-building activities.
- Contribute to CDLu2019s research, publications and knowledge products across thematic areas such as data governance, responsible AI, language technologies, climate resilience and digital public infrastructure.

Eligibility Criteria

- Educational Background: Masters degree in Public Policy, Political Science, Development Studies, Economics, Social Sciences, Management, Technology or related disciplines.
- Professional Experience: 1-2 years of experience in stakeholder engagement, public policy, research, consulting, development sector or related work.
- Communication Skills: Strong verbal and written communication skills, with the ability to confidently engage and build relationships with government and other stakeholders.




- Language Proficiency: Native or professional proficiency in the relevant state language(s) of the selected location.
- Research Skills: Ability to understand recent policy and sectoral areas, conduct research and synthesise information.
- Availability: Willingness to work in a hybrid setting with regular field visits, government meetings and stakeholder engagements.

Preferred Qualifications

- Experience working with government datasets, open data platforms or data repositories.
- Familiarity with tools such as Excel/Google Sheets, data visualisation tools, or basic Python/SQL.
- Familiarity with data, AI, digital public infrastructure or technology.
- Prior experience working with state government departments or public institutions.
- Experience in stakeholder consultations, community engagement or partnership development.
- Knowledge of Indian language datasets, corpora, or linguistic resources
- Familiarity with AI/ML concepts and their application in multilingual contexts

Requirements

- Completed Online Application Form: All sections including basic information, experience details, language proficiencies, and motivational responses.
- Curriculum Vitae (CV): Upload a comprehensive CV (PDF format, max 5MB) that clearly highlights: Your educational qualifications with institutions and years; Detailed work experience, particularly in stakeholder research, community engagement,



or participatory projects; All Indian languages you are proficient in (specify speaking, reading, writing abilities); Any publications, research projects, or relevant contributions to language technology or datasets; Technical skills and familiarity with digital platforms; References (optional but recommended).
- Video Statement (5 Minutes): Record and upload a 5-minute video (MP4/MOV format, max 100MB) that addresses: Introduction: Brief background about yourself and your current work Motivation: Why you are interested in this Fellowship Understanding: Your perspective on language as Digital Public Infrastructure and the importance of linguistic representation in AI datasets Learning Goals: What you hope to learn or unlearn during this fellowship Contribution: How your background and skills make you suitable for this role Video Guidelines: Keep it conversational and authentic Smartphone recording quality is acceptable; ensure clear audio and lighting No need for professional editing, we want to hear your genuine thoughts

Selection Process

- Application Review: All complete applications will be reviewed by the DOST selection committee.
- Shortlisting: Candidates will be shortlisted based on eligibility criteria and application quality.
- Interview: Shortlisted candidates will be invited for a virtual interview.
- Final Selection: Selected fellows will receive offer letters with detailed terms and conditions.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Public Policy Fellow (Chennai)
🏢 CivicDataLab
📍 Chennai