Ville : Hamilton

Catégorie : Other

Industrie : Education

Employeur : McMaster University

Postdoctoral Fellowship in Neural Data Analysis

Overview

Applications are invited for two (2) Postdoctoral Fellows to work on an NIH funded project in the Department of Computing and Software Engineering (CAS). To learn more about the Department, please visit https://www.eng.mcmaster.ca/cas/

Qualifications

The overall goal is developing data analysis tools to unveil how the human brain encodes complex and natural stimuli using electrophysiological datasets (primarily MEG and EEG). The overall approach is based on the neuro-current response function method (introduced in Das et al., 2020; https://doi.org/10.1016/j.neuroimage.2020.116528). Planned work includes theoretical development of the analysis method as well as implementation of a user-friendly analysis pipeline.

The Postdoctoral Fellows will work as a part of a multidisciplinary team including researchers with Engineering, Neuroscience and Medicine background. Candidates will work primarily with Christian Brodbeck, PhD (McMaster), Proloy Das, PhD (Stanford) and Patrick L. Purdon, PhD (Stanford), but may also consult with a team with diverse topic interests in neuroscience, including Isabelle Buard, PhD (UofColorado), Monty Escabí, PhD (UConn) and Steven Stufflebeam, MD (MGH).

We are searching for applicants interested in theory and algorithm development, as well as the development of a versatile data analysis pipeline with user-friendly front-end and documentation. Development will primarily be using public M/EEG datasets, and provides room to work on different topic areas, such as auditory and speech processing, sensory-motor processing, external stimulus processing in patients undergoing anesthesia, etc.

Ideal candidates should have experience and interests in the following areas: signal processing; system identification; computational neuroscience; Python development. Prior experience with MEG and/or EEG is not required but would be a strong asset.

An ideal candidate would be an experienced researcher who:

1. has recently completed their Ph.D. in Computer Science, Electrical & Computer Engineering, Neuroscience, Biomedical Engineering, Physics, Mathematics, or a related field; and
2. has an established track record of peer-reviewed publications as first author in relevant areas; and
3. has conducted quantitative analysis of neuroimaging datasets using Python.

Duration and Funding

The term of each fellowship is initially for 12 months, with the possibility of renewal. Local, national, and international applicants are encouraged to apply. Selection will be based upon the candidate's research potential and fit with the Research Group in the Department of CAS at the Faculty of Engineering. The successful applicant will be placed on a hybrid work arrangement, as agreed upon with the Faculty supervisor. The annual salary is $70,000.00 CAD/year with benefits, provided in accordance with McMaster University guidelines and commensurate with experience. The normal hours of work are 35 hours per week.