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IITH Ph.D. Artificial Intelligence FAQs
Ques. What GATE papers are accepted for Ph.D. Artificial Intelligence at IIT Hyderabad?
Ans. The Department of Artificial Intelligence at IITH accepts GATE scores in CS (Computer Science), EE (Electrical Engineering), EC (Electronics and Communication), and AI (Artificial Intelligence). UGC-NET and CSIR-NET are also accepted in relevant subjects. Candidates with strong backgrounds in machine learning, deep learning, computer vision, or natural language processing are encouraged to apply through the IITH PhD portal.
Ques. What computing infrastructure is available for AI PhD research at IITH?
Ans. IITH’s AI department has access to NVIDIA DGX1 and DGX2 GPU supercomputers supporting a combined compute capacity of 250 TFlops, making it one of the better-equipped AI research environments among Indian engineering institutes. The Centre for Research and Innovation in AI (CRIAI), funded by JICA and Honeywell, also supports collaborative research projects for PhD scholars.
Ques. Is direct PhD admission possible for B.Tech graduates at IIT Hyderabad AI department?
Ans. Yes, B.Tech and B.E. graduates from Central Funded Institutes with a CGPA of 8.0 or above and a valid GATE score are eligible for direct PhD admission at IITH’s AI department without a master’s degree. They are required to complete additional coursework credits as part of their PhD registration. Candidates should apply specifically for the direct PhD track on the IITH PhD admissions portal.
Ques. What is the monthly stipend for PhD scholars in the IITH AI department?
Ans. Full-time PhD scholars receive a monthly research assistantship of INR 31,000 under JRF norms from the Ministry of Education. After clearing the PhD qualifying examination, scholars are upgraded to SRF norms with a higher stipend. SC/ST and PH category scholars are also exempt from the INR 60,000 tuition fee component, further reducing programme costs.
Ques. What research areas does the IIT Hyderabad AI department focus on?
Ans. The Department of Artificial Intelligence at IITH conducts research across machine learning, computer vision, natural language processing, Bayesian methods, probabilistic AI, and AI for social good. Key labs include the VIGIL Lab for visual learning and the BRAIN Lab for Bayesian reasoning and causality. The department also has active collaborations with industry partners such as Honeywell and JICA for applied AI research.
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