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QUALITY OFFICER
Jobs For Humanity
Teaching Faculty Position - Data Engineering and Science
Job summary
A research-focused university in Abu Dhabi seeks a passionate Teaching Faculty for its Bachelor's in AI program. The role involves delivering high-quality instruction in Data Engineering and Data Science, developing engaging course content, and mentoring students. Candidates must hold a Ph.D. and exhibit a commitment to teaching excellence. Benefits include competitive salaries and comprehensive health insurance, offering an excellent opportunity to join a diverse academic community dedicated to AI education.
Benefits
Qualifications
- Ph.D. in a relevant field required.
- Expertise in Data Engineering, Data Management, and Data Analytics.
- Proven teaching or professional training experience at the undergraduate or graduate level.
Responsibilities
- Deliver high-quality instruction in Data Engineering and Data Science.
- Develop course content and laboratory exercises.
- Create an engaging learning environment.
- Mentor students in projects and applied data initiatives.
- Collaborate with faculty to advance teaching quality.
Skills
Education
Tools
MBZUAI invites collaborative talent for its first undergraduate Bachelor of Science in AI, offering Business and Engineering streams.
Abu Dhabi, United Arab Emirates
Aug 31, 2026 at 11:59 PM Eastern Time
MBZUAI is a research-focused university dedicated to advancing science through AI, empowering the next generation of AI leaders with world‑class education and interdisciplinary research.
In 2025, MBZUAI launched its first undergraduate program, a Bachelor of Science in AI, and is seeking passionate and highly motivated Teaching Faculty.
The Undergraduate Division seeks faculty in Data Engineering and Data Science to lead a course providing the practical foundation necessary for building robust data workflows essential for modern AI, with a specific focus on Generative AI systems.
Responsibilities include:
- Delivering high‑quality instruction in Data Engineering, Data Science, and related AI disciplines.
- Developing and maintaining course content, laboratory exercises, and assessments aligned with current industry standards.
- Creating an engaging, application‑oriented learning environment.
- Mentoring and advising students in course projects and applied data initiatives.
- Collaborating with faculty to advance teaching quality and curriculum innovation across programs.
- Top‑Tier Compensation: Competitive salaries aligned with leading global academic institutions
- Exceptional Benefits:
- Comprehensive health & life insurance
- Relocation support for international faculty
- Live in Abu Dhabi: World’s safest city, year‑round sunshine, rich culture, and modern amenities
- Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers
This position requires a Ph.D. in Computer Science, Data Science, Artificial Intelligence, Information Systems, or a related field.
Demonstrated expertise in Data Engineering, Data Management, and Data Analytics.
Experience with relevant tools and platforms (e.g., SQL, Python, Spark, Hadoop, cloud‑based data systems).
Strong commitment to teaching excellence and experiential learning.
Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience).
To apply for this position, please submit the following:
- Teaching statement
- Reference letters or name and contact details for three referees
*MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.
*Be part of AI’s future—apply today to MBZUAI!
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.