[Hiring] Online Adjunct Faculty - Graduate Computer Science @Southern New Hampshire University

Role Description

Southern New Hampshire University is looking for online adjunct faculty within our Graduate Computer Science program for Global Campus. You will engage students in an asynchronous and inclusive learning environment by providing guidance and resources in a pre-developed online course. You will support students by providing instruction, feedback, and experiential and application-based learning that helps our students achieve their learning and career goals. You will report to the faculty dean team. This is a remote position.

What you'll do:

• Prioritize Student Engagement – Work with students by responding within set timeframes and reaching out proactively to students needing additional support. Recognize student needs holistically and connect them with resources. Encourage participation, collaboration, and strong faculty-student relationships to enhance learning and build skills.
• Share Expertise and Resources – Stay current in your field of expertise, share your experience, and recommend relevant supplementary materials to enhance student understanding of course content. Find accessible ways to explain complex topics.
• Offer Feedback & Assessment – Evaluate student work and provide individualized, constructive feedback within set timeframes to promote growth and mastery of course outcomes.
• Facilitate Discussions – Encourage student interaction through active participation in online discussions while fostering an inclusive, engaging, and respectful environment that promotes open dialogue and diverse perspectives.

Courses:

• CS-540: Data Literacy and Visualization
• CS-550: Networking and Cybersecurity
• CS-560: UIUX Design and Implementation
• CS-570: Machine Learning
• CS-580: Deep Learning
• CS-590: Database Design and Development
• CS-620: Natural Language Processing
• CS-630: Software Testing and Quality Assurance
• CS-640: Applied AI and Machine Learning

Qualifications

• Master's degree in Computer Science, Computer Engineering, AI, Information Technology, or a related field
• 4+ years of professional experience in computer science, software engineering, software development, Full Stack Development, AI Engineering, IT, Network Engineering, Systems Engineering, UI/UX, etc.
• Experience with Tableau, Power BI, Python
• Experience with Mongo, PostgreSQL, Neo4J, SQL, Database modeling tools
• Experience with Wireshark, Linux, Network simulators
• Experience with Python, Scikit-learn, TensorFlow, Pandas, NumPy
• Experience with Figma, HTML5, CSS3, JavaScript

Benefits

• Employer-funded retirement
• Free tuition program
• Professional development opportunities

Compensation

The standard compensation for courses is $2,200 per 8-week undergraduate course and $2,500 per 10-week graduate course. Actual pay is determined at the time of course assignment based on discipline.