Shape the Future with Us

Unlock your potential, gain real-world experience, and contribute to meaningful research in Artificial Intelligence, Sustainability, Data Science, and more.

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The CAIES Foundation generously promotes and supports research in fundamental and applied sciences and engineering by offering internships to students from schools, colleges, and universities. We seek curious, committed, and socially driven individuals who are passionate about science, technology, and sustainability and aspire to make meaningful contributions to society.

"If you know what you want, we know how to make it happen."

Our internship program is designed not just as a learning platform but as a launchpad for career excellence, offering guidance, exposure, and real-world project experience under expert mentorship. We only accept students who demonstrate a strong commitment to learning and a genuine desire to maximize the benefits of the experience.

001

Artificial Intelligence Intern (AII)

For students aspiring to build a career in Artificial Intelligence, including machine learning, computer vision, natural language processing (NLP), and AI applications across various domains. Interns may work on foundation-led AI initiatives or propose independent ideas aligned with societal impact.

002

Cybersecurity Intern (CSI)

For students with an interest in digital security, privacy, data protection, threat detection, and related technologies. Interns may engage in security assessments, awareness campaigns, and responsible tech projects under supervision.

003

Generative AI Intern (GAII)

Focused on students keen to explore the emerging field of Generative AI, including text-to-image generation, large language models, synthetic data, and creativity-driven AI solutions. Interns will be encouraged to innovate and build ethical GenAI applications.

004

Agentic AI Intern (AAII)

For those intrigued by autonomous agents, multi-agent systems, and intelligent orchestration frameworks. Interns will work on projects involving autonomous AI systems for scientific, educational, and social problem-solving.

005

Data Science Intern (DSI)

Open to students with a passion for data analytics, visualization, statistical modeling, and applied data science. Interns may work on diverse datasets from healthcare, sustainability, policy, or behavioral sciences.

006

Environmental Sustainability Intern (ESI)

Ideal for students passionate about climate action, environmental research, circular economy, and green innovation. Interns contribute to sustainability projects and field studies or develop innovative sustainability models using scientific or AI-based approaches.

Meet Our Alumni

Aayushi Sharan
Saumya Srishtee
Asha Mariam Manoj
Kashvi Swami
Preetish Patel
Mukesh Kumhar
Ankit Rai
Kshitij Saxena
Aayushi Sharan
Saumya Srishtee
Asha Mariam Manoj
Kashvi Swami
Preetish Patel
Mukesh Kumhar
Ankit Rai
Kshitij Saxena
Aayushi Sharan
Saumya Srishtee
Asha Mariam Manoj
Kashvi Swami
Preetish Patel
Mukesh Kumhar
Ankit Rai
Kshitij Saxena
Aayushi Sharan
Saumya Srishtee
Asha Mariam Manoj
Kashvi Swami
Preetish Patel
Mukesh Kumhar
Ankit Rai
Kshitij Saxena

Application and Selection Process

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Important Notes

  • 1. We do not charge students for internships, except for a nominal registration fee, which is only due after they are selected and have accepted the offer letter.
  • 2. Registration categories and fees:
    Academic CategoryClassRegistration FeeFee Waiver
    Private InstitutionGovernment Institution
    School6–8Rs. 501/-Rs. 101/-Only for students from Government Schools
    School8–10Rs. 501/-Rs. 101/-Only for students from Government Schools
    College12Rs. 501/-Rs. 101/-No waiver
    CollegeUGRs. 1001/-Rs. 201/-No waiver
    CollegePGRs. 1501/-Rs. 501/-No waiver
  • 3. All internship opportunities are currently unpaid.
  • 4. If a project is externally funded, interns may receive stipends based on the project's budget and their qualifications.
  • 5. Students are encouraged to propose their project ideas that align with the CAIES Foundation’s mission. Alternatively, they will be assigned to ongoing or new projects within the foundation.
  • 6. Internships can be conducted remotely, in a hybrid format, or person, depending on project requirements.

Don't take our word for it!
Hear it from our Alumni's

Aayushi Sharan

Aayushi Sharan

United Kingdom

Asha Mariam Manoj

I am Asha Mariam Manoj, currently a Data Analyst Apprentice at Google, Bangalore, where I transform complex data into actionable insights. My journey was shaped by my work with the CAIES Foundation, where I led a project to predict the Air Quality Index (AQI) across Indian cities using machine learning techniques such as SVR, random forest, and SARIMA. This experience strengthened my skills in Python, SQL, data visualization, and model evaluation, while reinforcing my passion for using data science to address real-world challenges—an approach that aligns closely with Google’s mission and values.

Asha Mariam Manoj

India

What You Gain

  • 1. Real-world experience working on cutting-edge projects
  • 2. Mentorship from top researchers and practitioners
  • 3. Recognition on the CAIES website and social media
  • 4. Access to future opportunities, workshops, and alums benefits
  • 5. A stepping stone toward careers in AI, sustainability, research, and innovation