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selection based on academic merit and suitability to the project. Please contact the primary supervisor for more information about these projects. IITK-25023 - Artificial Intelligence-based Anomaly and
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opportunities About You A PhD in a related discipline (e.g., information systems, operations management/research, business analytics, artificial intelligence, cybersecurity, digital transformation), and/or
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in artificial intelligence, data science, smart agriculture and ICT education. As a key member of the ICT Team, you will play a vital role in shaping the next generation of technology professionals
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: renewable energy technology-driven health and healthy living artificial intelligence and robotics-driven futures innovative manufacturing and circular solutions resilient and sustainable cities and regions
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health technologies and highly interested in virtual reality and artificial intelligence applications within the research landscape. Strong analytical and problem-solving skills, with excellent attention
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environment. In-depth expertise in Artificial intelligence, Business Analytics, Generative AI, and Cybersecurity and their applications in business Advanced expertise in researching and implementing secure, AI
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develops and achieves shared goals and objectives. In-depth expertise in Artificial intelligence, Business Analytics, Generative AI, and Cybersecurity and their applications in business Advanced expertise in
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including the application of artificial intelligence and machine learning. You will engage with industry, government, and research collaborators, fostering partnerships that deliver outcomes aligned with
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research by integrating cutting-edge computational mechanistic modelling, bioinformatics, and artificial intelligence with experimental biology. Our multidisciplinary team operates across scales from
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. Relevant Research Areas and Capabilities: Digital Engineering, Artificial Intelligence (AI) and Human Machine-Teaming Aerostructures and Flight Science Advanced Composite and Alloy Additive Manufacturing