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Debanjali Bhattacharya

Assistant Professor (Sr. Gr.)

Amrita Vishwa Vidyapeetham

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Research Interests

Artificial Intelligence

10%

Statistics

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Deep Learning

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Medical Science

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Computer Vision

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Machine Learning

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Biomedical Engineering

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Positions1

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Amrita Vishwa Vidyapeetham

Amrita Vishwa Vidyapeetham

PhD Position in Multimodal Medical Image & Biosignal Analysis, AI and Neuroscience at Amrita Vishwa Vidyapeetham

Amrita Vishwa Vidyapeetham, Bengaluru Campus, is inviting applications for a PhD position in Multimodal Medical Image and Biosignal Analysis, with a strong focus on the intersection of Artificial Intelligence and Neuroscience. The research group, led by Dr. Debanjali Bhattacharya (Assistant Professor, Sr. Gr.) and coordinated by Dr. Thangam S., offers an opportunity to work on impactful projects involving multimodal data fusion for disease modelling, temporal and longitudinal analysis of disease progression, explainable AI for biomedical feature interpretation, early detection and precision diagnosis of neurological disorders, and personalized therapy design with risk-based stratification. Applicants should have a postgraduate degree (M.Tech/M.Sc.) in CSE, ECE, EEE, Data Science, or Artificial Intelligence, and a keen interest in neuroscience research. Essential skills include proficiency in programming languages such as Python, MATLAB, and R, solid foundational knowledge in signal and image processing, mathematics, statistics, and a strong understanding of machine learning, deep learning, and statistical modelling techniques. Fundamental knowledge in biology and human physiology is also required. The position offers a fellowship starting from Rs. 35,000 per month and opportunities to collaborate with experts from academia and industry both within India and abroad. The research environment is highly interdisciplinary, combining neuroscience, medical science, computer science, and biomedical engineering. Candidates passionate about AI-driven healthcare, medical imaging, biosignals, and neuroAI are encouraged to apply. To apply, contact Dr. Debanjali Bhattacharya or Dr. Thangam S. via the provided emails, including your CV and relevant academic documents. For more information, visit the LinkedIn profile or the official announcement link.