Assistant Professor in Systems Neuroscience – Carnegie Mellon University
Assistant Professor in Systems Neuroscience
Carnegie Mellon University
The Department of Biological Sciences and the Center for the Neural Basis of Cognition (CNBC) at Carnegie Mellon University seek a tenure-track faculty candidate in systems neuroscience at the assistant professor level. Carnegie Mellon is strongly committed to expanding brain research and investing in new faculty that span the disciplines of computational and systems neuroscience. As part of this effort, Carnegie Mellon is establishing a new, cross-disciplinary neuroscience institute (see https://www.cmu.edu/news/stories/archives/2018/february/neuroscience-institute.html) that will bring together various neuroscience initiatives and programs at the institution, including the CNBC at Carnegie Mellon. Brain science faculty have access to facilities that include a state-of-the-art animal facility, high-performance computing clusters, and neuroimaging centers (see http://www.cmu.edu/bio and http://www.cnbc.cmu.edu). The candidate will join a growing and highly interactive neuroscience community at Carnegie Mellon and will be a member of the CNBC, an interdisciplinary and collaborative group of neuroscientists from Carnegie Mellon and the University of Pittsburgh.
Applications are encouraged from individuals using advanced, cutting-edge techniques to examine the dynamic properties of neuronal ensembles in vivo, especially in awake or freely-moving animals. The candidate will join a faculty with strength in big data analytics, machine learning, signal processing, and bioengineering. Preference will be given to a candidate who will leverage these tools for data acquisition and analysis, especially those whose own research helps drive innovation in these areas.
Applications, including a cover letter, a curriculum vitae, research and teaching statements, copies of no more than 3 relevant papers, and the contact information for at least three individuals who have been asked to provide letters of reference should be submitted electronically at http://apply.interfolio.com/53283 Concurrent with the submission of their application, applicants should also arrange for at least three reference letters to be submitted through the Interfolio application site. Applications should be received by 1 November 2018 for full consideration. Questions can be addressed to Prof. Aryn Gittis (email@example.com).
Carnegie Mellon offers highly competitive salaries and start-up packages in an attractive urban environment.
Carnegie Mellon University is an equal opportunity employer and is committed to increasing the diversity of its community on a range of intellectual and cultural dimensions. Carnegie Mellon welcomes faculty applicants who will contribute to this diversity through their research, teaching and service, including women, members of minority groups, protected veterans, individuals with disabilities, and others who would
contribute in different ways.