College of IST Part-time Academic - IST 597 Foundations of Quantum Computing

The Pennsylvania State University; Struble (PA); On-site; USD 2,000 - 4,000; Part time

Job summary

The Pennsylvania State University in University Park invites applications for a part-time academic appointment to teach IST 597 Special Topic: Foundations of Quantum Computing at the University Park Campus for Spring 2027.

Applicants must have a doctoral degree or equivalent experience and demonstrate ability to teach learners at all levels; prior teaching or professional experience in a relevant area is preferred.

Qualifications

• Possess a doctoral degree or equivalent experience.
• Commitment to teaching learners at all levels.
• Preference for prior teaching or professional experience in a relevant area.

Responsibilities

• Teach IST 597 Special Topic: Foundations of Quantum Computing.
• Develop course materials and assessments for the Spring 2027 offering.
• Guide and engage students in learning, discussion, and practical explorations.

Skills

Quantum computing

Teaching experience

Education

Doctoral degree or equivalent experience

Job description

JOB DESCRIPTION AND POSITION REQUIREMENTS

The College of Information Sciences and Technology (IST) invites applications to a part-time academic appointment for teaching the following course at the University Park Campus, during the Spring 2027 semester: IST 597 Special Topic: Foundations of Quantum Computing This course covers foundations of Quantum Computing, which is an emergent field of cutting-edge computer and information science harnessing the unique qualities of Quantum Mechanics to solve problems beyond the ability of even the most powerful Classical Supercomputers. We will explore Quantum Information theoretical foundations, the most useful algorithms, Quantum systems, and practical applications. Students will engage in guided learning by the instructor, to develop an introductory understanding of Quantum Computing principles and their implications for various industries. This is a technology area where there is a high demand for knowledgeable practitioners outstripping the available supply of skills in nearly every industry. Applicants must possess a doctoral degree or equivalent experience and education and be committed to teaching learners at all levels and from all backgrounds; preference given for prior teaching experience and professional experience in a relevant area.

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