Remote Research Internship Opportunity – KFUPM AI V&V Lab

Remote Research Internship Opportunity – KFUPM AI V&V Lab

Applications are now open for remote research internships at the King Fahd University of Petroleum & Minerals (KFUPM), ranked among the top global universities. This opportunity is open to undergraduate and master’s students worldwide who are interested in cutting-edge research.

The internship is hosted by the AI Verification & Validation (AI V&V) Lab within the Department of Industrial & Systems Engineering. The lab focuses on applying optimization and artificial intelligence techniques to real-world challenges, including supply chains, autonomous logistics systems, and emerging AI applications.

Selected interns will work closely with experienced faculty members and researchers, gaining hands-on exposure to advanced research methods. Participants will also have the opportunity to contribute to impactful projects and may be enlisted as official members of the AI V&V Lab.

This program offers several valuable benefits. Interns receive a monthly research stipend, making it financially supportive. They also gain direct mentorship from KFUPM faculty, which is ideal for academic and professional growth. Outstanding participants may earn co-authorship on published research papers, along with support for conference presentations or journal publications.

The internship is fully remote, allowing students to participate from anywhere in the world while maintaining flexibility with their academic schedules. This makes it especially suitable for students balancing coursework and research interests.

KFUPM is known for its world-class infrastructure, strong academic reputation, and commitment to innovation. Studying or collaborating with researchers from Saudi Arabia also offers exposure to a diverse and globally vibrant academic environment.

If you are passionate about AI, optimization, and research-driven problem-solving, this internship is an excellent opportunity to build your profile and gain international experience.

Apply here: https://ai-vnv.kfupm.io/apply/

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