"Teaching Faculty in Software Engineering"

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has launched its first Undergraduate (Bachelor’s) degree programs and is looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty at all levels with expertise in Software Engineering.

This comprehensive course bridges theory and practice in modern software engineering, equipping students with the skills to design, develop, test, and deploy production-ready web and mobile applications while integrating AI technologies responsibly throughout the development lifecycle.

Responsibilities include:

• Teaching courses across software engineering and related areas using inclusive, activity-led, project-based pedagogy
• Advising and mentoring students on coursework, projects, and research
• Contributing to curriculum development, assessment of learning outcomes, and service

About MBZUAI – A Global Leader in AI Research and Education

MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution.

With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond.

Why Join MBZUAI?

• 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

Qualifications

This position requires a PhD in Software Engineering, Computer Science, Computer Engineering, Information Systems, or a closely related field.

Technical Expertise in one or more of the following areas:

• Software architecture and design patterns
• Software development lifecycle (SDLC) and agile methodologies
• Full-stack web development
• Mobile application development

Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience)

Professional Practice - Demonstrated experience with:

• Version control systems
• Automated testing frameworks and methodologies
• API design and documentation
• Production deployment and monitoring
• Strong commitment to project-based learning and hands-on pedagogy

Preferred Qualifications:

Research: Evidence of sustained research impact and experience supervising student research

Technical Proficiency with:

• Deployment of machine learning and deep learning models
• Modern JavaScript/TypeScript ecosystems (React, Node.js, React Native)
• Python web frameworks (FastAPI, Django, Flask)
• Database systems (SQL and NoSQL)
• Cloud platforms (AWS, Azure, or Google Cloud)
• Container orchestration (Docker, Kubernetes)

Application Instructions

To apply for this position, please submit the following:

• Cover letter
• Curriculum Vitae
• 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 a part of AI’s future – apply today at MBZUAI!

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