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Professor Empire Innovation

University at Buffalo (SUNY)


Location:
Buffalo, New York 14260
Date:
10/05/2017
2017-10-052017-12-04
Job Code:
F1700137
Job Type:
Employee
Job Status:
Full Time
Categories:
  • Education and Research
University at Buffalo (SUNY)
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Job Details

The Department of Computer Science and Engineering (CSE) at University at Buffalo invites candidates to apply for multiple faculty positions as Associate Professor or Full Professor to be known as Professor of Empire Innovation. Selected candidates will receive support through the SUNY Empire Innovation Program (EIP) which recognizes high caliber faculty with proven track records of externally funded research.

We invite prominent leaders in several foundational areas in artificial intelligence and robotic systems, including computer vision (including video analysis and 3D reconstruction), machine learning (including big data analytics and adversarial machine learning), natural language processing (audio-visual multimodal understanding), autonomous systems (such as driverless cars), human-robot collaboration (focusing on attack modeling, privacy preservation, and safety guarantees), knowledge representation and reasoning, and cognitive science (computational linguistics, philosophy, and computer modeling of neural networks and brains).

We are particularly looking for candidates who can operate effectively in a diverse community of student and faculty and share our vision of helping all constituents reach their full potential.

The Department of Computer Science and Engineering is housed in a new $75 million building, and as a part of School of Engineering and Applied Sciences, the department offers both BA and BS degrees in Computer Science, a BS in Computer Engineering (accredited by ABET), a combined 5-year BS/MS program, a minor in Computer Science, and two joint programs (BA/MBA and Computational Physics) as well as MS and PhD programs.

The department has over 40 tenured/tenure-track faculty, 7 teaching faculty, and approximately 1,000 undergraduate majors, 450 masters’ students, and 160 PhD students. About twenty junior faculty have been hired since 2010, and we are continuing to expand. Two members of our faculty currently hold key university leadership positions and seven members of our faculty are IEEE and/or ACM Fellows. Our faculty members are actively involved in cutting-edge research and successful interdisciplinary programs and centers devoted to biometrics; bioinformatics; biomedical computing; computational and data science and engineering, document analysis and recognition; high performance computing; information assurance and cyber security; embedded, networked and distributed systems, and sustainable transportation. In 2016, our annual research expenditure exceeded $5 million and the total amount of new awards exceeded $12 million.

The University at Buffalo (UB) is the largest and most comprehensive public university within the State of New York with approximately 20,000 undergraduate students and 10,000 graduate students. Recently established Centers of Excellence such as Sustainable Manufacturing and Advanced Robotic Technologies (SMART), RENEW and Global Health as well as ISTL and DoD’s UTC Tier 1 Center on Transportation Informatics provide many opportunities for multidisciplinary research collaboration across the university.

Buffalo is the second largest city in New York State, and was rated the 10th best place to raise a family in America by Forbes magazine in 2010 due to its short commutes and affordability. Located in scenic Western New York, Buffalo is near the world-famous Niagara Falls, the Finger Lakes, and the Niagara Wine Trail. The city is renowned for its architecture and features excellent museums, dining, cultural attractions, and several professional sports teams, a revitalized downtown waterfront as well as a growing local tech and start-up community. Buffalo is home to Z80, a start-up incubator, and 43 North, the world’s largest business plan competition.

Requirements

An earned doctorate in computer science or closely related field. Candidates must demonstrate excellence in research, teaching, service and mentoring.

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