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

The Pennsylvania State University; Pennsylvania; On-site; USD 4,500 - 5,500; Part time

Job summary

Penn State College of Information Sciences and Technology invites applications for a part-time teaching position for the Spring 2027 semester to lead IST 597, Foundations of Quantum Computing, on the University Park campus.

The ideal candidate holds a PhD or equivalent experience and has a track record in teaching quantum computing concepts to diverse learners, with preference for prior teaching or relevant professional experience.

Qualifications

• Applicants should have demonstrable teaching experience at the postsecondary level.
• Expertise in Quantum Computing foundations and related algorithms is expected.
• Commitment to inclusive teaching for diverse learners across backgrounds.

Responsibilities

• Teach IST 597 Foundations of Quantum Computing at University Park Campus.
• Develop and deliver course materials, assessments, and schedules.
• Provide timely feedback and evaluation of student work.

Skills

Teaching experience

Quantum Computing knowledge

Education

PhD 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 ComputingThis 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.