What are the responsibilities and job description for the Adjunct Faculty Computer Science position at Harrisburg University?
Position Summary
Harrisburg University of Science and Technology (HU) invites applications for adjunct faculty positions in Computer Science to support our dynamic undergraduate and graduate programs. We are seeking academic professionals and industry practitioners who are passionate about teaching applied, future-ready curricula that prepare students to thrive in the age of AI, HPC, and scalable computing systems.
Adjuncts may teach at either or both levels and should be enthusiastic about engaging students through live coding, AI-driven pedagogy, and project-based learning. HU is especially interested in candidates who can contribute to the university’s growing emphasis on high-performance computing (HPC), generative AI, and next-generation software systems.
Areas of Instructional Need
We are actively recruiting adjuncts who can teach in one or more of the following subject areas. These represent core foundations, emerging technologies, and workforce-aligned specializations:
Core Computer Science Foundations
- Data Structures & Algorithms
- Theory of Computation
- Programming Language Paradigms
- Numerical Methods
- Operating Systems
- Computer Architecture
- Database Management Systems (DBMS) & SQL
Software Engineering & Development
- Software Architecture & Development
- Software Testing Techniques
- Agile Development Practices
- Live Coding Environments
- Parallel Processing & Scalable Systems
Artificial Intelligence & Machine Learning
- Machine Learning
- Statistical Pattern Recognition
- Computer Vision & Image Processing
- Data Mining & Engineering
- Big Data Architectures
- Prompt and Context Engineering
- AI Project Deployment & Management
High-Performance Computing (HPC)
- GPU Programming (CUDA, OpenCL, Python frameworks)
- HPC and GPU System Architectures
- HPC Algorithm Design and Optimization
Key Responsibilities
- Deliver engaging, practice-oriented instruction across in-person, hybrid, or online formats.
- Integrate real-world tools, live coding, and emerging technologies into the classroom experience.
- Mentor students through hands-on projects and AI-integrated course work.
- Collaborate with full-time faculty to ensure continuity and relevance in curriculum delivery.
- Participate in course and program assessment activities.
Required Qualifications
- Master’s degree in Computer Science, Software Engineering, Data Science, or a closely related field.
- College-level teaching experience or equivalent industry instructional/training experience.
- Proficiency with digital learning platforms (e.g., Canvas, Zoom, GitHub, Google Colab).
- Demonstrated ability to design or deliver courses aligned with workforce and technological trends.
Preferred Qualifications
- Ph.D. or ABD in a relevant discipline.
- Experience in dual-level instruction (undergraduate graduate).
- Professional experience in software development, AI/ML deployment, or HPC systems.
- Experience with AI-native teaching strategies or agentic AI tools.
Onboarding
The department also plans to offer summer refresher sessions in 2026 for new adjuncts who wish to update their skills in teaching tools or emerging CS topics.
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Why Harrisburg University?
HU is a STEM-focused, industry-aligned university that fosters innovation in both pedagogy and applied research. We are building a future-ready faculty team that will help educate the next generation of technologists, engineers, and AI system designers in a fast-changing global ecosystem.
To Apply
Please submit:
- CV or Resume
- Brief Cover Letter (indicating areas of teaching interest and availability)
- Optional: Teaching Portfolio or Sample Syllabi
Submit materials to: [HU-HR exec Recruiter]
Application review is ongoing. Priority given to Summer/ Fall 2026 appointments.