About the Role:

Airtics is hiring! 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.

Required Qualifications & Skills:

• 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.
• Excellent written and verbal communication skills in English

Application Question(s):

• Do you hold a PhD in Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Science or Information Technology? (Yes/No)

Work Location: Remote