Current Job opening
We are always looking for bright and motivated research assistants, Ph.D. students, and Postdocs. Ph.D. applicants who qualified for NET exam will be selected for direct Interview. Please visit the CBCS, University of Allahabad web page to check the updates regarding Ph.D. admissions.
Postdoctoral positions will be hosted in CBCS under Cognitive Science Research Initiative/National Postdoctoral Fellowships 2017-18. If you are interested in applying please forward to me a CV and one-page research proposal.
We are inviting application from Postdoctoral fellows who are interested in applying for Cognitive Science Research Initiative or any similar modes of funding. We are interested in supporting their application and would be happy to host them depending on mutual agreement. Some of the current projects in the lab are listed. Candidates with Ph.D .in Neuroscience, Computer Science, Electrical Engineering, Physics, Mathematics, and Statistics are strongly encouraged to apply. Additionally, they must have a strong computational background with an interest and passion for Cognitive Neuroscience. Familiarity with statistical techniques, Signal processing, and the knowledge of programming in Matlab/Python/C/C++ is essential.
Applying whole brain large-scale Computational models developed to characterize normal versus pathological dynamical states (health vs. disease). This is a data-driven modeling project and requires programming skills, interest in systems neuroscience and cognition.
- EEG, Eye tracking data acquisition to understand the role of brain oscillations and large-scale brain network underlying perceptual learning.
EEG, fMRI data acquisition in resting state across different age groups to understand age-related cognitive decline. We develop computational methods to understand dynamic Functional connectivity and age-related reorganization.
Initial inquiries should include a cover letter and current CV. Please see contact details.
We invite applications from talented undergraduate, graduate scholars. We seek individuals with passion and commitment for Cognitive Science/Neuroscience research for the project position funded by Department of Biotechnology (DBT). An ideal candidate should hold a bachelor’s degree in engineering in Computer Science/ Electronics/ Instrumentation or any related field, OR a master’s degree in Physics/ Mathematics/ Statistics with at least one year of research experience. Familiarity with modern computational techniques and working knowledge of one of the programming languages Matlab/Python/C/C++ is essential.
Students with a standard psychology or neuroscience background may apply but they are not well aligned with the overall focus of our lab. I am interested in expanding more the computational side of our lab and are actively recruiting and training students in connectivity methods applied to Cognitive Science:
Undergraduates interested in applying advanced machine learning and other engineering methods to functional MRI data analysis are most welcome to enquire; Graduate students with strong computational, engineering, and/or CS methods and wish to develop new methods of data analysis; Post-docs with physics/mathematics background in the above formal methods, and wishing to apply them to understanding large-scale dynamic interactions between resting, and working memory, attention, and learning in the brain are welcome to apply.
Brief Project outline
- Role of Default Mode brain network (DMN) in normal cognitive functions (In collaboration with National Brain Research Center (NBRC))
This multimodal approach using noninvasive human neuroimaging data along with detailed large-scale computational model will establish links between neurotransmitter imbalance in the organization of large-scale anticorrelated neural systems, cognition, and symptoms (broadly speaking cognitive impairment) associated with impaired cognition in humans. This study will be carried out in collaboration with National Brain Research Center which will be responsible along with the PI in carrying out fMRI data acquisition. Corresponding EEG component of the data acquisition will take place in the Center of Behaviour and Cognitive Sciences, University of Allahabad.
- Basal Ganglia Subthalamic Nucleus (STN) is a subcortical neural substrate of exploratory decision-making behavior (In collaboration with IIT Madras)
Basal Ganglia Circuits are traditionally characterized as subserving “Go” and No-Go” decisions in behavior. The role of indirect pathway (specifically, the role of subthalamic nucleus STN) in exploration has not been characterized so far, and the proposed empirical studies would be focusing on this aspect. This project requires setting up behavioral experiments, EEG acquisition, and analysis. We have 264 channel high-density EEG recording facility along with two different Eye tracking systems. This study will be carried out in collaboration with IIT Madras who would be largely responsible for building a large-scale computational model to explore empirical relationship based on underlying cortical-subcortical pathways.