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FT Professor Computer Science

Harrisburg University
Posted 3 months ago, valid for 3 days
Location

Harrisburg, PA 17130, US

Salary

$80,000 - $95,000 per year

Contract type

Full Time

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Sonic Summary

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  • The Department of Computer and Information Sciences is seeking a full-time Assistant Professor to teach undergraduate and graduate courses, requiring an earned doctorate in a related field and a demonstrated potential for excellence in teaching.
  • The position is located in Harrisburg, PA, and emphasizes hands-on learning in modern computing systems across various programs, including undergraduate, master’s, and doctoral levels.
  • Candidates should possess strong communication skills and a commitment to student success, with preferred expertise in areas such as software engineering, cybersecurity, or data science.
  • Responsibilities include curriculum development, student advising, and maintaining an active program of scholarship or professional engagement.
  • The salary is competitive and commensurate with experience, with a preference for candidates with teaching experience in online or hybrid environments.

Computer and Information Sciences

Faculty Job Description

Please consider being in a commutable distance to Harrisburg, PA. 

This role requires on-site teaching

Assistant Professor of Computer and Information Sciences
 The Department of Computer and Information Sciences invites applications for a full-time faculty position at the rank of Assistant Professor (or appropriate rank based on qualifications). The department offers programs at the undergraduate, master’s, and doctoral levels and serves a diverse population of students. We seek a dynamic educator-scholar who is passionate about teaching, mentoring, and contributing to a collaborative academic community.

About the Department and Programs

The undergraduate program is ABET accredited and emphasizes hands-on learning in modern computing systems. Students develop core competencies in data representation, algorithms, programming, systems, security, and software engineering while integrating real-world, business, and teamwork perspectives. The program centers on helping students understand problems and design effective computational solutions from the ground up.

The Master of Science in Computer Information Sciences, offered in an executive (hybrid) format provides a strong foundation in computer science and cybersecurity. The program prepares graduates for professional practice or doctoral study through coursework that integrates data, algorithms, programming, systems, security, and software engineering. Concentrations include:

  • Scientific Computing
  • Software Engineering and Software Testing
  • Cybersecurity
  • High-Performance Computing (HPC)

The Ph.D. in Computational Sciences and Engineering is a research-oriented program emphasizing multidisciplinary training in computational methods, large-scale systems, and advanced algorithms. It serves students in science and engineering who rely on extensive computation for innovative research and advanced system design. The program integrates strong foundations in the scientific method and theory with cutting-edge computational research.

Responsibilities

The successful candidate will:

  • Teach undergraduate and graduate courses in areas aligned with departmental needs and personal expertise.
  • Contribute to curriculum development and continuous improvement across in-person, hybrid, and online modalities.
  • Advise and mentor students at the undergraduate, master’s, and/or doctoral levels.
  • Establish and sustain an active program of scholarship and/or professional engagement appropriate to rank and role.
  • Participate in departmental, school, and university service.
  • Contribute to a collegial, inclusive, and student-centered academic environment.

Qualifications

Required:

  • Earned doctorate in Computer Science, Computer and Information Sciences, or a closely related field by the start date.
  • Demonstrated potential for excellence in teaching.
  • Strong communication skills and commitment to student success.

Preferred:

  • Expertise in one or more areas such as software engineering, cybersecurity, data science, scientific computing, high-performance computing, artificial intelligence, or related fields.
  • Experience teaching in online or hybrid environments.
  • Evidence of scholarly activity or professional practice.
  • Interest in interdisciplinary collaboration and applied, real-world problem solving.

Application Process

Applicants should submit:

  1. A cover letter describing teaching interests and fit with the department’s focus.
  2. A curriculum vitae.
  3. A statement of teaching philosophy.
  4. A brief statement of research or professional interests.
  5. Contact information for three professional references.

 




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