Empire Innovation Professor, Quantum Computing

Position Summary

The invites candidates to apply for a tenure-track EIP position. A successful candidate should hold the rank of Full Professor at the time of application, although strong candidates at the rank of Associate Professor will also be considered. The successful candidate is expected to build a world-class research and educational program that exemplifies a strong drive towards team research, produces impactful research publications, attracts significant public and private research funding, and demonstrates commitment to effective teaching. Research topics of interest include, but are not limited to:

• Quantum Computing Theory
• Quantum Algorithms
• Quantum Networking for Distributed Quantum Computing (As opposed to QKD)
• Quantum Machine Learning
• Quantum Sensing
• Quantum Applications
• Quantum-safe or Quantum-resistant Cryptography

We invite prominent leaders in Quantum Computing. Areas include quantum computing theory, algorithms, networking, and other software and hardware systems that embody quantum physics to enable secure, reliable, and efficient applications. This Empire Innovation Program hire aligns closely with the Department’s long-standing focus on advanced computing theory, algorithms, networking, systems, and cybersecurity. The hire would also have immediate collaborative opportunities with faculty in the Physics, Mathematics, and Materials Design and Innovation departments.

The successful candidate will be expected to teach courses at the graduate and undergraduate levels, mentor graduate students, advise students at all levels, and maintain an active research program. We are particularly looking for candidates who can operate and lead effectively in a diverse community of students and faculty and share our vision of helping all constituents reach their full potential.

About the Department of Computer Science and Engineering:

The Department of Computer Science and Engineering (CSE) offers BS degrees in computer science (accredited by the Computing Accreditation Commission of ABET, and in computer engineering (accredited by the Engineering Accreditation Commission of ABET, a combined 5-year BS- MS program, a minor in computer science, a Certificate in Data-Intensive Computing, and several joint programs (BS in Computer Science/MBA, BS in Computational Physics, BA in Social Sciences Interdisciplinary – Cognitive Science Concentration, BS in Bioinformatics and Computational Biology – CSE concentration), a minor in cybersecurity, and an advanced graduate certificate in cybersecurity as well as MS and PhD programs in Computer Science & Engineering.

The department currently has over 50 tenure-track faculty, 18 teaching faculty, approximately 2,200 undergraduate majors, 1200 masters’ and 160 PhD students. Over thirty junior faculty members have been hired since 2010, and we continue expanding. Two members of our faculty currently hold key university leadership positions, and nine members of our faculty are IEEE and/or ACM Fellows. The department is well known for offering an excellent collaborative and nurturing environment for faculty. Recently, a cohort of five junior faculty received the CAREER awards in 2019, setting a national record.

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; computer vision and multimedia systems; database systems; document analysis and recognition; programming languages; high-performance computing; cybersecurity; embedded, networked and distributed systems; machine learning and artificial intelligence; connected and autonomous vehicles and sustainable transportation; and theory of computation. Our faculty has excellent publication records over the years. Since 2015, the department has moved up its rank to be among the top 40 on and is among the top 25 in two recent years (2017 and 2019). During the same period, our research expenditure has grown from $4.5 million (for AY 2015-2016) to close to $10.5 million (AY 2023-2024).


About the University at Buffalo:

The University at Buffalo (UB) is a flagship of the State University of New York (SUNY) system, a member of the prestigious American Association of Universities, is the largest and most comprehensive university in the SUNY system, with about 21,000 undergraduates 11,000 graduate students, and 2500 full-time faculty. The School of Engineering and Applied Sciences has about 8,000 students across 9 academic departments. UB was recently announced as the recipient of $400M in funding for EmpireAI and continues to lead in many areas of AI, and this position is intended for a national leader in AI. The prestigious NSF National AI Institute for Exceptional Education continues to innovate in the application of AI to address important problems across disciplines. Backed by numerous centers across information integrity, autonomy, robotics, biometrics, and cybersecurity, for example, CSE faculty have a long history of interdisciplinary collaboration and a reputation as a leading department at UB.


About Buffalo:

Buffalo is a city with a rapidly growing economy, eclectic neighborhoods, world-class art galleries and museums, a vibrant theater and music community, the Lake Erie waterfront, a city-wide system of parks designed by renowned landscape architect Frederick Law Olmsted, and major and minor league sports teams. The awe-inspiring Niagara Falls is just 20 minutes away. The department is located on the UB North Campus in suburban Amherst, an area that combines outstanding public schools and services with a surprisingly low cost of living.


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• Our , where we prioritize your well-being and success to enhance every aspect of your life.
• Being a part of the

University at Buffalo is an affirmative action/equal opportunity employer and, in keeping with our commitment, welcomes all to apply including veterans and individuals with disabilities. Minimum Qualifications

• Candidates must hold a doctorate in computer science, computer engineering, or a closely related field.
• Candidates must demonstrate excellence in research, teaching, service, and mentoring.
• Candidates should be internationally recognized scholars as evidenced by peer-reviewed publications, citations and a sustained externally funded research program.

Preferred Qualifications Physical Demands Salary Range Competitive Additional Salary Information Job Type Full-Time Campus North Campus Posting Alerts Special Instructions Summary We offer applicants the ability to include a statement about engagement and inclusive learning in an engineering environment, which could include:

• Experiences you have had working across different student and colleague groups
• Teaching activities that highlight an expansive pedagogy
• Key definitions or philosophical frameworks that inform your approach.

This is not required but may be beneficial for the committee to review. Additional Information Is a background check required for this posting? No Background Check Notification