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Manoj Kumar

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PhD Position in Graph Machine Learning and Efficient AI at IIT Roorkee Indian Institute of Technology Roorkee in India

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

India

University

Indian Institute of Technology, Roorkee

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Keywords

Computer Science
Information Technology
Deep Learning
Python Programming
Large Language Models
ML

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About this position

PhD opening at the Indian Institute of Technology Roorkee in the Mehta Family School of Data Science and Artificial Intelligence with Dr. Manoj Kumar.

The project sits at the intersection of Graph Machine Learning and Efficient AI, with research directions including graph dimensionality reduction (graph coarsening, graph sparsification, graph condensation, scalable representation learning), applied graph machine learning using Graph Neural Networks (GNNs) for real-world and large-scale graph data, and KV cache compression for Large Language Models to improve efficient inference and memory optimization.

Ideal candidates should have a strong background in Machine Learning, Deep Learning, Graph Algorithms, GNNs, or Large Language Models, plus strong Python/PyTorch programming skills and research enthusiasm. The post emphasizes both fundamental research and practical problem solving, with publication goals at top-tier ML/AI conferences and journals.

This is a PhD Student opening. Interested candidates are asked to email their CV and a short note describing research interests and relevant background to [email protected].

Funding details

Available

What's required

Applicants should have a strong foundation in Machine Learning, Deep Learning, Graph Algorithms, GNNs, or Large Language Models. Strong programming skills in Python and PyTorch are highly desirable, along with enthusiasm for research. The post seeks a highly motivated PhD student interested in both fundamental research and practical problems.

How to apply

Email the supervisor with your CV and a brief description of your research interests and relevant background. Mention your fit for graph machine learning and efficient AI research.

More information can be found here

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