Assistant Professor of Electrical and Computer Engineering

York College of Pennsylvania; York Township (York County); On-site; USD 70,000 - 90,000; Full time

Job summary

York College of Pennsylvania invites applications for a tenure-track Assistant Professor of Electrical and Computer Engineering beginning in January or August 2027. The position involves ongoing in-person teaching assignments in the fall and spring terms each year.

The successful candidate will teach courses such as computer architecture, analog circuits, microprocessors, embedded systems, signal processing, and robotics, and will advise and mentor undergraduates in capstone design projects.

Qualifications

• Ability to teach undergraduates in a student-centered, project-based environment.
• Mentor undergraduates in design/build/test projects and capstone work.
• Engage in curriculum and laboratory development and scholarly activity.

Responsibilities

• Teach a range of undergraduate electrical and computer engineering courses.
• Advise students on independent study and capstone design projects.
• Engage in curriculum development, lab development, and research with undergraduates.

Skills

Teaching

Mentoring

Communication

Education

PhD in Computer or Electrical Engineering

Job description

Job Description:

The Electrical and Computer Engineering program at York College of Pennsylvania invites applications for a tenure track Assistant Professor of Electrical and Computer Engineering beginning in either January or August 2027, with ongoing in-person teaching assignments in the fall and spring terms each year.

Our ABET-accredited Electrical and Computer Engineering program has roughly 100 undergraduate students, five full-time faculty, and three supporting staff members. Our hands-on program is known for small class sizes and extensive student/faculty interaction. Students participate in design/build/test projects throughout the curriculum, culminating in a year-long Capstone Design project. Nearly all of our instruction occurs in versatile state-of-the-art lecture/laboratory spaces. Our two-semester co-operative education requirement is a key component of our overall academic program, and is a substantive expression of our focus on pragmatic applications of concepts and skills embedded throughout our curriculum.For this position, we seek candidates that are eager to teach undergraduates in a student-centered, project-based learning environment. Applicants with a desire to utilize their knowledge and skills in mentoring undergraduates, conducting research with undergraduates, and teaching introductory electrical and computer engineering courses should apply.

The successful candidate will teach a variety of undergraduate electrical and computer engineering related courses, including computer architecture, analog circuits, microprocessor and embedded systems, signal processing, and robotics. Other responsibilities may include advising students on independent study and capstone design projects, as well as teaching special topics in an area of expertise. The successful candidate will be active in curriculum and laboratory development and scholarly research.

An earned Ph.D. in Computer or Electrical Engineering or a closely related field by the start date of the appointment is required. ABD will be considered.

Candidates are expected to demonstrate the potential for outstanding teaching and advising, ongoing college service, professional development, developing undergraduate courses, and working with industry and undergraduate students in applied research.

Further qualifications include the interest and ability to teach a wide range of undergraduate engineering courses. Top candidates will demonstrate the potential for outstanding teaching and mentoring of undergraduates, and those candidates with teaching or industry experience are highly valued. Strong communication skills, the ability to work with undergraduate students, and ability to teach in a project-based setting are essential. Those candidates with research interests in embedded systems, robotics and autonomous systems, and machine learning or artificial intelligence are preferred.