Airtics
Website:
airtics.org
Job details:
Job Title: Faculty
Location: Full-Time Remote Opportunity
About the Role:
We are looking for faculty members with a PhD in Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related fields to teach and supervise Master’s and Doctoral students.
Key Responsibilities
· Teach and supervise Master’s and Doctoral students.
· Coordinate with international partner universities for quality assurance, assessment standards, and thesis evaluation.
· Participate in various academic and administrative committees.
· Deliver high-quality, industry-relevant teaching using modern digital pedagogies; integrate real-world projects, labs, and case studies aligned with programme learning outcomes.
· Design and regularly update modules to reflect emerging technologies and industry needs; contribute to programme reviews and accreditation-aligned quality standards.
· Guide dissertations, capstone projects, and career development; support working professionals through structured academic advising.
· Conduct applied research, publish where appropriate, and collaborate with industry to ensure practical relevance in teaching and programme design.
Minimum Qualifications
- PhD in Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or a closely allied field.
- Demonstrated research track record with publications in internationally recognized journals/conferences.
· Demonstrated proficiency in industry-relevant tools, platforms, and programming environments.
If you meet the above requirements, we’d love to hear from you! Please send your resume to careers@airtics.org with the subject line: Faculty.
Click on Apply to know more.