Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of Application for SRF- Funded Project
For Details Contact: [email protected]
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Job Title
Application for SRF- Funded Project
Location
Kollam, Kerela
Required Number
1
Qualification
M.Tech./M.Sc. in Computational Neuroscience, Neuroscience, Artificial Intelligence, Biomedical Engineering, Computer Science, Electronics, Bioinformatics, Biotechnology, Data Science, or related disciplines.
Job description
The selected candidates will work on the DST-sponsored research project, "Computational Modelling of Neural Mechanisms Correlating Cognitive Dysfunctions in Movement Disorders for Improved Diagnosis and Therapy."
The project aims to develop computational models and AI-driven approaches to understand the neural mechanisms underlying cognitive impairments in movement disorders and support the development of improved diagnostic and therapeutic strategies.
Key Responsible
Analyze multimodal neuroscience datasets, including neuroimaging, electrophysiological, and behavioral data.
Design and evaluate machine learning and deep learning algorithms for disease modelling and prediction.
Contribute to the development of AI-enabled tools for diagnosis and therapeutic decision support.
Assist in preparing technical reports, research publications, and project documentation.
Collaborate with multidisciplinary researchers and participate in project meetings and dissemination activities.
This position offers an excellent opportunity to work at the interface of computational neuroscience, artificial intelligence, machine learning, and translational neuroscience, contributing to cutting-edge research with potential clinical impact.
Expected Skills:
Experience in computational neuroscience, neural modelling, machine learning, deep learning, spiking neural networks, biomedical signal processing, or neuroimaging.
Able to perform Parameter optimisation of spiking neuron model Proficiency in Python and/or MATLAB.
Job category
Project
Last date to apply
July 20, 2026
