ScAI invites faculty applications in all areas of artificial intelligence, where AI is interpreted broadly to include all of traditional AI, machine learning and data science. Subareas of interest include (but are not limited to):
- Mathematical Foundations of AI (optimization for ML, Markov chains, random walks and Martingales, matrix and tensor factorization for AI, learning theory, etc.),
- Machine Learning (deep learning, reinforcement learning, probabilistic models, green ML, neuro-symbolic ML, quantum ML, etc.),
- Data Science (data mining, graph mining, data streams, information retrieval, etc.),
- Traditional AI (search, constraints, knowledge representation and reasoning, game theory, multi-agent systems, planning, reasoning under uncertainty, etc.),
- Applied AI (natural language processing and text mining, computational biology, computer vision, speech processing, robotics, physical AI, knowledge graphs, humans and AI, cognitive systems, neuroscience, IoT and sensor networks, AI on the edge, cloud-based AI, etc.),
- Ethics of AI (fairness, bias, accountability, transparency, explainability, safety, privacy, trustworthiness, etc.),
- Applications of AI to domain areas (healthcare, material science, education, energy, atmospheric science, bioinformatics, communication, agriculture, transportation, e-commerce, finance, crowdsourcing, unmanned vehicles and aerospace, industry 4.0, intelligent and sustainable buildings and infrastructure, hardware, social impact, other emergent applications of AI).
ScAI strongly encourages applicants with demonstrated track-record of working at the intersection of an application area and the AI fields.
If you are interested in applying to ScAI but have specific questions about life at IITD, work-life balance in India, opportunities for growth/success at ScAI, please feel free to reach out the head of ScAI at hodscai[AT]admin.iitd.ac.in
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