[Comp-neuro] All-Level Faculty Positions in Interdisciplinary Research in Computer Vision, Neurally-inspired Computing and Data Science
rhaefner at bcs.rochester.edu
Wed Oct 21 22:21:57 CEST 2015
All-Level Faculty Positions in Interdisciplinary Research in Data Science
The University of Rochester has made data science the centerpiece of its 5-year strategic plan, committing to 20 new faculty lines in diverse areas, a new building, and the establishment of the Goergen Institute for Data Science. We are currently seeking applicants for tenure track or tenured positions in interdisciplinary research areas within data science. This search complements department-specific searches in data science currently underway.
The interdisciplinary search focuses on recruiting candidates who are excited about engaging in collaborative research that connects advances in computational models and methods to the humanities, sciences, or medicine. Successful candidates will receive a primary appointment in one of the departments supporting the search, and a secondary appointment in at least one other department. Departments and programs supporting this search include Biomedical Engineering, Brain & Cognitive Sciences, Computer and Electrical Engineering, Computer Science, Digital Media Studies (a program of Art & Art History, English, and History), Linguistics, and Political Science. Potential cross-appointments with the School of Medicine and Dentistry will also be considered.
Focus areas for this year’s interdisciplinary search are:
● Neurally-inspired Computing: Research in artificial neural networks, including the fundamental theory of deep learning, practical applications to tasks such as perception, or as a tool for modeling and understanding biological neural networks.
● Computer Vision and Image Analysis: Research in the theory and applications of computational methods of image or video understanding, with a particular interest in applications to biomedicine or the humanities.
● Computational Linguistics: Research in the theory or applications of natural language processing, with a particular interest in applications to linguistics, the social sciences, or the humanities.
Apply online at: https://www.rochester.edu/faculty-recruiting <https://www.rochester.edu/faculty-recruiting>.
Direct questions about the search (but not applications) to michelle.vogl at rochester.edu <mailto:michelle.vogl at rochester.edu>.
For more information about the Goergen Institute for Data Science, visit http://www.rochester.edu/data-science <http://www.rochester.edu/data-science>.
Applicants should hold a PhD and will be required to supply a set of refereed scholarly publications, names of references, and research and teaching statements. The application will ask applicants to select a set of disciplines most relevant to their research area. Review of applications at any rank will begin immediately and continue until the positions are filled. For full consideration, applications should be completed by January 15th, 2016.
The University of Rochester is a private, Tier I research institution located in western New York State. It consistently ranks among the top 30 institutions, both public and private, in federal funding for research and development. The university has made substantial investments in computing infrastructure through the Center for Integrated Research Computing (CIRC) and the Health Sciences Center for Computational Innovation (HSCCI). The university includes the Eastman School of Music and the University of Rochester Medical Center, a major medical school, research center, and hospital system. The greater Rochester area is home to over a million people, including 80,000 students who attend the 8 colleges and universities in the region.
The University of Rochester has a strong commitment to diversity and actively encourages applications from candidates from groups underrepresented in higher education. The University is an Equal Opportunity Employer.
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the Comp-neuro