The Cognitive Brain Dynamics Lab (CBDL) is based at the Indian Institute of Technology Jodhpur (IITJ), with an additional presence at the National Brain Research Centre (NBRC), Manesar, where it was originally started jointly with Prof. Arpan Banerjee. IIT Jodhpur serves as the lab’s primary home now since we moved from NBRC. For NBRC positions, please send your enquiry to Prof. Banerjee directly.

We invite applications to our Centre of Excellence in Brain Science & Applications(CBSA), situated within the School of Artificial Intelligence and Data Science (SAIDE) at IITJ. We are actively seeking motivated individuals — including Project Assistants, PhD students, and Postdoctoral researchers — who are passionate about tackling fundamental questions in brain research and eager to develop novel data-driven algorithms, methods, applications, and neurotechnologies with potential for clinical translation.

For the latest updates on doctoral admissions and related opportunities, please visit the IIT Jodhpur School of AIDE webpage.

https://aide.iitj.ac.in/

We are currently inviting expressions of interest from prospective Postdoctoral Fellows who wish to apply for national-level funding to support their postdoctoral research. We are glad to support such applications and welcome the opportunity to host candidates, subject to mutual agreement.

Postdoctoral positions will be based at the School of AIDE, IIT Jodhpur, and may be pursued under the following funding schemes:

• Cognitive Science Research Initiative (CSRI)
• National Post-Doctoral Fellowship (NPDF)
• DBT-Wellcome Trust Early Career Research Scheme

If you are interested, please write to me with your updated CV and a one-page research proposal outlining your intended area of work.

A selection of ongoing projects in the lab is outlined below. We strongly encourage applications from candidates holding a Ph.D. in Neuroscience, Cognitive Science, Biotechnology, Biomedical Engineering, Computer Science, Electrical Engineering, Physics, Mathematics, or Statistics. Applicants must possess a solid computational background along with a genuine interest and enthusiasm for Cognitive Neuroscience and experimental work. Proficiency in statistical techniques and signal processing, as well as programming experience in MATLAB, Python, C, or C++, is essential.

Project 1: Computational and Data-Driven Whole-Brain Modelling. This project applies whole-brain large-scale computational models alongside machine learning and deep learning approaches to distinguish normal from pathological brain states across a range of conditions, including memory and perceptual processing, multisensory speech processing, ageing-related brain dynamics, and network-level classification in ASD and ADHD. It is primarily a data-driven modelling effort and calls for strong programming skills and a keen interest in systems neuroscience and cognition.

Project 2: EEG and Eye-Tracking Studies of Perception and Cognition. This project involves the acquisition and analysis of EEG and eye-tracking data and tACS, tDCS neuromodulation techniques to investigate how brain oscillations and large-scale network dynamics contribute to multisensory integration, working memory, perceptual learning, decision-making, and executive functioning.

Project 3: Neurocompensatory mechanisms in lifespan associated chages: This project employs EEG and fMRI data collected during resting state, working memory, episodic memory tasks and naturalistic tasks  across different age groups to examine the neural underpinnings of age-related cognitive decline and adaptive mechanisms. Analytical approaches draw on nonlinear dynamics, signal processing, and graph theory to explore dynamic functional connectivity, cognitive and neural flexibility, and age-associated reorganisation of brain networks and dynamics.

The lab is currently full and not accepting any applications. However, initial inquiries for Project Positions are welcome as we may have some openings soon. The lab is not currently accepting any internship applications.