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Amrita Vishwa Vidyapeetham

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

Degree Level

PhD

Field of study

Computer Science

Funding

Fellowship starting from Rs. 35,000 per month is provided. There are opportunities to collaborate with experts from academia and industry within India and abroad. No information on tuition coverage or additional financial details.

Deadline

Expired

Country

Amrita Vishwa Vidyapeetham

University

Amrita Vishwa Vidyapeetham

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Signal Processing
Deep Learning
Artificial Intelligence
Computer Vision
Disease Modeling
Medical Science
Psychotherapy
Statistics
- Neuroscience
Medical Image Analysis
Biomedical Interpretation

About this position

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.

Funding details

Fellowship starting from Rs. 35,000 per month is provided. There are opportunities to collaborate with experts from academia and industry within India and abroad. No information on tuition coverage or additional financial details.

What's required

Applicants must hold a postgraduate degree (M.Tech/M.Sc.) in Computer Science, Electronics and Communication Engineering, Electrical Engineering, Data Science, or Artificial Intelligence, with a keen interest in neuroscience research. Required skills include proficiency in programming languages such as Python, MATLAB, and R for data analysis and model development, solid foundational knowledge in signal processing, image processing, mathematics, and statistics, strong understanding of machine learning, deep learning, and statistical modelling techniques, and fundamental knowledge in biology and human physiology.

How to apply

Interested candidates should contact Dr. Debanjali Bhattacharya or Dr. Thangam S. directly via email. Prepare your CV and relevant academic documents. Demonstrate your interest and qualifications in neuroscience and AI. Reach out for further application instructions.

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