PSYCHOLOGY: Computational Clinical Neuroscience Assistant Professor (tenure-track)
PSYCHOLOGY: Computational Clinical Neuroscience
Assistant Professor (tenure-track)
The Department of Psychology at Tufts University is seeking applicants at the assistant professor level for a tenure-track position in computational clinical neuroscience to begin September 1, 2019. The successful candidate will have a Ph.D. (or be ABD) and an active research program capable of supporting extramural funding. Area of specialization is open, but candidates should use mathematical and computational modeling approaches (e.g., Bayesian, connectionist, reinforcement learning) and/or data science approaches in their research; candidates with research interests that bridge to those of other members of the department are of particular interest. Potential research areas might include, but are not limited to, characterizing core computational and/or neural network disruptions underlying psychological disorders; identifying neural markers that predict mental health problems and/or treatment response; testing predictions developed from computational models of basic perceptual, cognitive, or affective mechanisms in clinical populations; and applying advanced analytic approaches (e.g., multivariate analysis, machine learning) to complex neuroimaging datasets (including fMRI, EEG/ERP, and MEG).
The successful candidate will utilize methods and ask questions that can contribute to the university’s new Data Intensive Studies Center (or DISC, see http://viceprovost.tufts.edu/data-intensive-study-center/). Applicants should be interested in teaching introductory, advanced, and quantitatively-oriented courses that will contribute to our undergraduate majors in Biopsychology, Clinical Psychology, and Cognitive & Brain Sciences; to our Ph.D. graduate programs in Experimental Psychology and Cognitive Science; and to the new degree programs within the DISC. Teaching load would be four courses per year or the equivalent, with opportunities for workload-related reductions.
Applicants should submit via Interfolio (https://apply.interfolio.com/51438) the following materials: a one-page cover letter discussing their potential contributions to the department and to the DISC initiative at Tufts; a C.V.; a statement of research accomplishments and future plans (note that our department embraces open and reproducible science, and candidates are encouraged to address how they pursue these goals in their work); a statement of teaching experience and approach; three letters of recommendation which should be uploaded by recommenders directly to the Interfolio site; copies of representative scholarly work (no more than three); and a brief diversity statement that describes the candidate’s aspirations and potential for promoting diversity and inclusion in their professional career. Inquiries should be emailed to Department Manager Jessica Storozuk (Jessica.Storozuk@tufts.edu).
Review of applications will begin October 1, 2018, and will continue until the position is filled.
Tufts University, founded in 1852, prioritizes quality teaching, highly competitive basic and applied research, and a commitment to active citizenship locally, regionally, and globally. Tufts University also prides itself on creating a diverse, equitable, and inclusive community. Current and prospective employees of the university are expected to have and continuously develop skill in, and disposition for, positively engaging with a diverse population of faculty, staff, and students.
Tufts University is an Equal Opportunity/Affirmative Action Employer. We are committed to increasing the diversity of our faculty and staff and fostering their success when hired. Members of underrepresented groups are welcome and strongly encouraged to apply. If you are an applicant with a disability who is unable to use our online tools to search and apply for jobs, please contact us by calling Johny Laine in the Office of Equal Opportunity (OEO) at 617-627-3298 or at email@example.com. Applicants can learn more about requesting reasonable accommodations at http://oeo.tufts.edu.
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