Slum and Rural Health Initiative (SRHIN) AI/ML Internship Fellowship 2025–2026

Imagine being at the junction where cutting-edge AI meets urgent health needs in communities that are often overlooked. The SRHIN AI/ML Internship Fellowship offers precisely that: a chance for capable technologists and data enthusiasts to channel their skills into real-world health challenges in slums and rural areas.

This fellowship is open to AI/ML enthusiasts, students, early-career professionals, or anyone eager to blend data, algorithms, and social impact. Through this program, selected fellows will contribute to SRHIN’s mission of reducing health inequities by designing and deploying predictive models, diagnostic tools, and data-driven systems tailored for low-resource settings. Here's everything you need to know.

🎓 Fellowship Summary

• Format: Virtual / remote with potential field components (where feasible)

• Organization: Slum and Rural Health Initiative (SRHIN)

• Program Level: Internship / Fellowship (non-degree)

• Target Group: Students, recent graduates, early-career professionals, AI/ML enthusiasts

• Fields of Focus: Artificial Intelligence, Machine Learning, Data Science, Health Informatics, Public Health

• Duration: Over the 2025–2026 cycle (likely several months)

• Start Date: Following selection (likely later in 2025)

• Eligible To: Global applicants (especially those from or interested in slum/rural health contexts)

🧭 Fellowship Overview

The SRHIN AI/ML Internship Fellowship is structured to provide:

1. Hands-On Project Work

   Fellows will engage in real health-related AI/ML projects — building models for disease prediction, diagnostics, health education tools, data analytics pipelines, and more.

2. Mentorship & Guidance

   Mentors from SRHIN, AI/ML fields, and public health will support fellows technically and conceptually.

3. Capacity-building Workshops

   Topics may cover AI ethics, fairness, privacy & security, health systems, data governance, deployment strategies, scaling solutions, and entrepreneurship.

4. Interdisciplinary Collaboration

   Fellows will interact with domain experts (public health, community health workers) to co-design solutions that are context-aware and user-centered.

5. Outcome & Impact Focus

   The goal is to generate prototypes or systems that can be piloted and potentially scaled in slum or rural settings — not just theoretical models.

6. Knowledge Exchange & Learning

   Fellows share insights, lessons learned, and best practices via internal seminars, presentations, and possibly broader dissemination (blogs, talks, reports).

🎁 Benefits

The fellowship typically offers:

• Technical mentorship and training

• Access to relevant datasets, compute resources, and AI tools

• Networking opportunities with experts in global health and AI

• Hands-on experience with health-focused AI solutions in underserved settings

• Potential for publication, demonstration, or further collaboration

✅ Eligibility Criteria

Applicants should meet the following:

• Background in AI/ML, data science, computer science, or related fields

• Proficiency in Python (or similar), experience using ML frameworks (e.g. TensorFlow, PyTorch)

• Experience or coursework in model building, data analytics, visualization

• (Optional but valuable) understanding of public health, healthcare systems, or working in low-resource settings

• Strong motivation to work at the intersection of AI and health, especially in underserved communities

• Ability to commit to the fellowship duration and collaborate remotely/in interdisciplinary teams

📝 Application Procedure

To apply, candidates need to submit their applications through the online application form:

1. Curriculum Vitae / Resume (PDF preferred)

2. Motivation / Cover Letter (or short essay) — explaining interest, skills, and intended contributions

3. Project Portfolio / Evidence of prior work (links, code repositories, reports)

4. Responses to short prompts / questionnaires, such as:

   • Description of your most relevant AI/ML project

   • Why you are passionate about applying AI/ML to health

   • What you hope to bring and learn through this fellowship

5. Skill self-assessment (comfort with model building, fine-tuning, etc.)

6. Additional documents as requested (transcripts, references, etc.)

🚀 Why Join This Fellowship?

• Impactful Work: You’ll apply your AI/ML skills to real challenges that affect vulnerable populations.

• Unique Learning: Beyond models, you'll learn how to bridge technology and health in contexts where constraints are high.

• Professional Growth: Mentorship, networking, and hands-on experience bolster your AI + global health credentials.

• Mission Alignment: You become part of SRHIN’s vision to reduce health inequities through innovation and inclusion.

🔗 Apply Now

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