University of Cambridge AI Research Internship 2026 (Funded). Apply for fully funded scholarships here. The University of Cambridge AI Research Internship 2026 offers an incredible opportunity for students worldwide to gain hands-on experience in the rapidly evolving field of Artificial Intelligence. This funded internship is designed to equip participants with cutting-edge AI research skills while working alongside world-class faculty and researchers.
This Cambridge AI internship 2026 is open to all nationalities and provides a flexible 3–6 month online internship program, making it accessible for students around the globe.
University of Cambridge AI Research Internship 2026 Details
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University: University of Cambridge
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Duration: 3–6 Months
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Access Mode: Online
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Eligible Nationality: All Nationalities
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Funding Coverage: Funded
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Last Date to Apply: 30 September 2025
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Types of Research Opportunities
The University of Cambridge AI internship covers multiple research areas such as:
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Machine Learning & Deep Learning – Participate in real-world AI model development.
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Natural Language Processing (NLP) – Work on language understanding, chatbot systems, and AI text generation.
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Computer Vision – Engage in projects involving image recognition and AI-powered vision systems.
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Robotics & Automation – Explore AI-driven robotics applications.
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Ethics & Responsible AI – Research ethical frameworks for AI usage.
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Eligibility Criteria for Cambridge AI Internship 2026
The eligibility requirements are straightforward, making this program accessible to motivated students from different academic backgrounds:
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Must be a Bachelor’s, Master’s, or PhD student (in Computer Science, Data Science, AI, Engineering, or related fields).
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Must have basic programming knowledge (Python preferred).
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Strong interest in Artificial Intelligence and research.
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Good English communication skills (IELTS/TOEFL not mandatory for all applicants).
Benefits of the University of Cambridge AI Research Internship
This funded Cambridge internship provides several benefits, including:
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Research Mentorship from Cambridge professors and experts.
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Networking Opportunities with AI professionals and international peers.
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Access to AI Tools & Resources during the internship.
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Certificate of Completion from the University of Cambridge.
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Application Process for Cambridge AI Internship 2026
Applying for the University of Cambridge AI Research Internship is a simple online process:
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Visit the Official Cambridge Internship Application Portal.
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Fill out the Online Application Form with personal and academic details.
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Upload Required Documents (see below).
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Submit the Application before the deadline.
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Wait for the confirmation email and interview details (if shortlisted).
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Required Documents
Applicants need to prepare the following documents before applying:
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Updated CV/Resume
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Motivation Letter / Statement of Purpose
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Academic Transcripts
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Two Letters of Recommendation (optional but recommended)
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Portfolio or GitHub Profile (if applicable)
Important Dates
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Application Deadline: 30 September 2025
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Internship Duration: 3–6 Months (Starting in 2026)
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FAQs about Cambridge AI Internship 2026
Q1: Is this internship fully online?
Yes, the University of Cambridge AI Research Internship 2026 is fully online, allowing international students to participate remotely.
Q2: Do I need prior research experience?
Not mandatory, but having some AI-related academic or project experience is an advantage.
Q3: Is there an application fee?
No, applying for this internship is free.
Q4: Is it a paid internship?
It is funded, which means certain costs like learning resources, mentorship, and possible stipends are covered.
Why You Should Apply for Cambridge AI Internship 2026
The Cambridge AI Research Internship 2026 is not just an internship—it’s a gateway to global AI research networks, mentorship from some of the world’s best AI minds, and a stepping stone toward a strong career in Artificial Intelligence.
If you are passionate about AI, Machine Learning, and Data Science, this is your chance to learn, research, and grow with the prestigious University of Cambridge.
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