Faculty Professor Assistant - Full-Time
About The Position
The School of Computing and Information (SCI) seeks a tenure-stream Assistant Professor in the broad area of quantum algorithms. SCI has three departments-Computer Science, Informatics and Networked Systems, and Information Culture and Data Stewardship. SCI is interested in candidates whose expertise in developing or applying quantum algorithms aligns with one or more of these departments and who can collaborate effectively with our faculty in various quantum domains such as quantum information, quantum computing systems, quantum cryptography, large-scale quantum simulation, or quantum sensing. Faculty candidates who are excited to collaborate across schools with our colleagues in the Swanson School of Engineering, the Dietrich School of Arts and Sciences, and other Pitt schools are encouraged to apply. We expect faculty candidates to bridge the gap between classical and quantum computing and information in a variety of ways, such as: Coordinating between classical and quantum algorithms and approaches. Developing or using innovative quantum algorithms for applications or design. Efficient algorithms for emulation of quantum computing and networking. Developing and applying machine learning algorithms to optimize quantum computing and networking. Quantum sensing algorithms and theories in domains, such as space and medicine. Practical quantum error correction algorithm designs. Fault-tolerant implementations of quantum algorithms in different quantum computational models. Developing quantum networks, and quantum cryptographic systems, including post-quantum cryptography.
Requirements
- A PhD or equivalent terminal degree in computer science, computer engineering, information science, information systems, or a closely related area by September 2026.
- At least three years of relevant experience in advancing research outcomes in quantum algorithms, demonstrated by journal and conference publications.
- Evidence of interest and ability to teach at the undergraduate and graduate levels in both classical algorithms, computational theory, and quantum algorithms.
Nice To Haves
- Candidates with a track record of initiating a successful interdisciplinary research program in areas such as quantum compilation, distributed quantum computing, quantum error correction and fault tolerance, quantum machine learning, or quantum cryptography.
- Candidates with a strong curiosity and willingness to explore futuristic advancements in quantum science and technology, and take their research in emerging directions.
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What This Job Offers
Job Type
Full-time
Industry
Educational Services
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
