[FieldTrip] A postdoc position in developing methods for MEG with atomic magnetometers

Ghuman, Avniel ghumana at upmc.edu
Mon Sep 3 07:05:37 CEST 2012


Post-doc in MEG with Atomic Magnetometers

The Ghuman Lab at the University of Pittsburgh, in collaboration with the Romalis Group at Princeton University and Twinleaf LLC, is recruiting a Post doc to develop methods for atomic magnetometer based MEG and multimodal integration (simultaneous MEG-EEG and MEG-fNIRS).  The position is available immediately.
Responsibilities:
•        Develop novel solutions for MEG using atomic magnetometers concerning source localization, noise cancellation and head modeling
•        Acquire and analyze MEG, MEG-EEG, and MEG-fNIRS data
•        Develop novel methods for integrating multimodal data
•        Design and implement novel data analysis tools
•        Assist with preparation of progress reports
•        Prepare manuscripts and presentations
•        Work with Investigators to identify future problems and research opportunities

Minimum Qualifications:
•        Ph.D. in Engineering, Physics, Neuroscience, Computer Science, Math, or related field.
•        Demonstrated expertise in solving MEG technological issues as shown through publication record, awards, successful patents and/or received applications.
•        Data analysis expertise includes independent components analysis, Bayesian algorithms, statistical parametric mapping, and MRI image processing.
•        Proficiency in creating software analysis tools and programs for investigators
•        MATLAB and Python programming knowledge preferred.

Conditions of Employment:
•        Position available immediately
•        Salary:  according to NIH postdoc salary scale
•        The University of Pittsburgh has excellent benefits, including health benefits and retirement plans with employer contributions.
•        The University of Pittsburgh values diversity and is committed to equal opportunity in employment.

How to Apply:
•        E-mail Avniel Ghuman, Ph.D. (ghumana at upmc.edu) or Mike Romalis, Ph.D. (romalis at princeton.edu)




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