Candidates are being considered for a full-time Neuroimaging Data Analyst position for the Maryland Neuroimaging Center (MNC, www.mnc.umd.edu) at the University of Maryland, College Park. This is a shared position between MNC and Dr. Luiz Pessoa’s Laboratory of Cognition and Emotion (http://lce.umd.edu/). The data analyst will be involved in the analysis of neuroimaging (especially functional MRI) data using standard approaches, as well as advanced methods including machine learning and graph-theory/network analysis.
Salary will be competitive and commensurate with experience and includes health benefits. Application review will begin immediately. This is a 1-year position with the possibility of renewal for an additional 1-2 years, contingent on performance and funding. The University of Maryland is an equal opportunity affirmative action employer with a commitment to racial, cultural, and gender diversity. Women and minorities are encouraged to apply.
To apply please email your application to Anastasiia Khibovska (firstname.lastname@example.org). Application materials should include a cover letter detailing qualifications and interest, CV (with GPA), relevant coursework or transcript, and 2 references who can provide letters upon request.
The ideal applicant will have a Master’s degree in Biomedical Engineering/Physics/Computer Science with experience in signal/image processing and/or Machine Learning techniques. We are particularly looking for candidates with strong programming/computational background (e.g., python, R) who are familiar with linux environments. Past experience with functional MRI data acquisition and analyses is desirable but not required. The ideal candidate would be a quick learner who can get up to the speed with limited training and supervision.
About Lab of Cognition and Emotion at the University of Maryland
We employ behavioral and functional MRI methods to study interactions between cognition and emotion/motivation. Our view is that brain systems are highly interactive and that modular approaches to understanding the mind-brain are fundamentally problematic.
An additional focus of our research centers on the development of statistical and computational tools for the analysis of functional MRI data to allow a rigorous mapping between brain and behavior.