Job description
This role focuses on teaching and curriculum development for both undergraduate and graduate instruction in AI, machine learning, and data science. The university seeks a candidate with a passion for mentoring students, integrating AI into real-world applications, and engaging in interdisciplinary collaborations.
Responsibilities
- Instruction: Teach undergraduate and graduate courses in AI, including Machine Learning, Deep Learning, AI Ethics, NLP, and AI Applications.
- Curriculum Development: Develop and refine AI course content aligned with industry standards and ethical considerations.
- Student Support: Advise and mentor students regarding academic and career development in AI fields.
- Collaboration: Work with faculty across various disciplines to integrate AI into different fields of study.
- Program Growth: Support the School of Mathematics & Science in developing AI curricula, including potential concentrations or certificates.
- University Service: Participate in faculty committees, curriculum assessment, and student recruitment.
- Professional Development: Stay current with advancements in AI education and pedagogy.
- Scholarly Activity: Participate in limited activities such as presenting at conferences, industry partnerships, or publishing research on AI pedagogy.
- Faith Integration: Support the integration of Christian faith and learning within AI-related disciplines.
Qualifications
- Spiritual Alignment: Must articulate a Christian worldview and fully support the University Vision, Mission, and Statement of Faith.
- Education: Ph.D. in Computer Science with an emphasis in AI, Machine Learning, NLP, Data Science, or a closely related field.
- Experience: Demonstrated experience teaching AI-related courses at the undergraduate or graduate level.
- Technical Skills: Proficiency in Python and AI frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Soft Skills: Strong communication, interpersonal skills, and a commitment to innovative teaching methodologies.
Preferred Qualifications
- Industry experience in AI, LLMs, machine learning, or data science applications.
- Experience developing AI-related academic programs, certifications, or online content.
- Prior experience mentoring students in AI projects, competitions, or industry partnerships.
- Interest in interdisciplinary collaborations across business, healthcare, or cybersecurity.
How to apply
To be considered, a complete application packet must be submitted. Applications are reviewed on a rolling basis until the position is filled.
Required Documents:
- Letter of Intent: Detailing interest in Christian higher education and how your experience aligns with the position.
- Biblical Worldview Statement: A 3-4 paragraph description of how a biblical worldview informs computer science education and leadership.
- Current Resume or Curriculum Vitae.
- Teaching Philosophy Statement.
- Unofficial Transcripts: (Official transcripts required upon hire).
- Spiritual Pilgrimage Account: A brief account (max 750 words) regarding your faith journey and current relationship with Christ.
- Commitment Statement: Review the university’s employee expectations and commitment statement.
Contact Information: All materials should be submitted to:
Dr. Monica French
Belhaven University
[email protected]