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The Division of Computer Science and Engineering (www.cse.lsu.edu) at Louisiana State University (LSU) in Baton Rouge invites applications for a tenure-track Assistant Professor position in Quantum Computing, Quantum AI/ML, and Algorithms. This position is part of a broader cluster hiring initiative in Quantum Information Science and Engineering (QISE) at LSU, spanning the College of Engineering (Computer Science and Engineering, Electrical & Computer Engineering, and Chemical Engineering) and the College of Science (the Department of Physics and Astronomy and Department of Chemistry). In addition to this position, the cluster includes searches in quantum device fabrication and production (Electrical & Computer Engineering), experimental quantum and energy devices (Physics), experimental quantum and energy materials (Physics), and quantum computational chemistry (Chemistry), reflecting LSU's strategic investment in building an interdisciplinary quantum research community spanning device fabrication, materials, algorithms, and theory. Cluster hires will work with existing researchers to create interdisciplinary teams and pursue major collaborative research initiatives.

LSU is Louisiana's flagship public land-grant R1 research university. CSE faculty sustain millions of dollars in externally funded research supported by federal, state, and industry sponsors, publish in highly regarded research venues, and mentor M.S. and Ph.D. students. The Division has had two NSF CAREER Award recipients in 2026 alone, reflecting its strong momentum and commitment to early-career faculty success. Fifteen specialized research laboratories support research across AI, cybersecurity, computing systems, and emerging technologies. Collaborative opportunities span electrical and computer engineering, mathematics, science, healthcare, and LSU's E. J. Ourso College of Business, as well as the Center for Computation and Technology. LSU High-Performance Computing offers advanced computational and storage resources; the Division also encourages research translation, startup activity, and industry partnerships.

LSU CSE is also expanding its academic programs and AI research enterprise. In Fall 2026, LSU launched Louisiana's first Bachelor of Science in Artificial Intelligence, with new educational opportunities in machine learning, deep learning, autonomous systems, AI security, and related areas. A newly developed Master of Science in Applied Artificial Intelligence, created in collaboration with LSU's E. J. Ourso College of Business, is awaiting approval and has not yet launched. These initiatives complement existing M.S. and Ph.D. programs, statewide AI literacy and workforce-development efforts, and growing interdisciplinary AI activity. CSE offers an ABET-accredited computer science program and an NSA-designated Center of Academic Excellence in Cyber Operations—one of a select number nationwide. Undergraduate concentrations include cybersecurity, software engineering, cloud computing and networking, and data science and analytics. Strong enrollment and continued investment in AI provide opportunities for new faculty to shape advanced coursework and research directions.

Hiring Priority: We seek innovative theoretical, algorithmic, and systems research at the intersection of quantum computing and AI/ML. Areas of interest include, but are not limited to:

• Quantum Computing for AI/ML: Quantum neural networks, quantum kernels, hybrid quantum-classical learning, quantum reinforcement learning
• AI/ML for Quantum Computing: Quantum control, calibration, characterization, compilation, and circuit design using AI/ML
• Foundations of Quantum learning: Theory, computational complexity, generalization, expressivity, and trainability
• Quantum information processing, optimization, and computational advantage
• Noise-aware quantum AI, error mitigation, error correction, and fault-tolerant methods
• Quantum software, simulation, benchmarking, and resource estimation
• Quantum-inspired ML, tensor networks, and learning in quantum many-body systems
• Quantum computing applications in security, privacy, communications, and cryptography
• Quantum AI for materials, chemistry, scientific discovery, sensing, and engineering
• Cross-cutting work linking quantum computing, advanced AI, and emerging architectures

Related Research Areas Welcome: The topics above are not exhaustive. Applicants working in closely related areas of quantum science, AI/ML, algorithms, computing, or interdisciplinary QISE are strongly encouraged to apply, including those whose specialties are not listed.

Responsibilities: Establish a vigorous, independent, externally funded research program; publish high-impact scholarship in leading conferences and journals; teach graduate and undergraduate courses in quantum AI/ML, quantum computing, algorithms, or related areas; recruit and supervise M.S. and Ph.D. students; mentor undergraduate researchers; and engage in interdisciplinary collaboration, curriculum development, and university service. Excellence in student engagement, both inside and outside the classroom, is valued.

50% Teach at the graduate and undergraduate levels in areas of candidate's specialization in the field of computer science. Supervise teaching/research assistants and advising students. Maintain professional standards and

level of competence.

50% Establish a vigorous, externally funded research program; publish in highly ranked journals and conference proceedings; supervise graduate students. Participate in University service, including committee activities.

Minimum Qualifications:

Ph.D. in Computer Science Engineering, Quantum Information Science, Physics, Electrical Engineering, Applied Mathematics or closely related discipline by the appointment date. Demonstrated expertise in advanced area, record of peer-reviewed research or strong potential for independent scholarly excellence; potential to attract competitive funding; and ability to teach and mentor students effectively.

Applicants who are all but dissertation (A.B.D.) and will complete their Ph. D. by the time of the appointment will be considered.

 An offer of employment is contingent on a satisfactory pre-employment background check and RS:17 screening.

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Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University’s partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

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LSU is an Equal Opportunity Employer.

All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university’s ability to employ individuals in certain positions.

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