Job Description

Instructor in Computer and AI Engineering (Drones, UAVs and Robotics) – United Arab Emirates University, UAE

The College of Computing and Artificial Intelligence (CCAI) at the United Arab Emirates University (UAEU) invites applications for an Instructor position in the Department of Computer and AI Engineering.

The College seeks a qualified educator with expertise in drone and unmanned aerial vehicle (UAV) technologies, autonomous systems, and robotics to support undergraduate teaching, practical laboratory instruction, and student learning.

The successful candidate will contribute to teaching in computer and artificial intelligence engineering, including embedded systems, computer networks, autonomous navigation, robotic control, computer vision, digital design, programming, and related technical areas.

This is a primarily teaching-focused appointment, with responsibilities centred on course delivery, laboratory instruction, student support, assessment, and departmental academic activities.

Applicants must hold a master’s degree in a relevant engineering, computing, AI, or robotics discipline. A PhD is not specified as a requirement, and research publications are considered an advantage rather than a condition of eligibility.

Institution: United Arab Emirates University (UAEU)
College: College of Computing and Artificial Intelligence (CCAI)
Department: Computer and AI Engineering
Position: Instructor
Specialisation: Drones, UAV Technologies, Autonomous Systems and Robotics
Country: United Arab Emirates
Minimum Qualification: Master’s degree in a relevant discipline
Position Focus: Undergraduate teaching and laboratory instruction
Application Deadline: 31 January 2027

About United Arab Emirates University

The United Arab Emirates University is the UAE’s national university, committed to excellence in education, research, innovation, and entrepreneurship.

UAEU advances knowledge through research in areas of strategic importance to the country and the wider region while preparing graduates for professional and leadership roles.

The College of Computing and Artificial Intelligence supports education and academic development in computing, artificial intelligence, and related engineering disciplines.

The advertised position is based in the Department of Computer and AI Engineering, where the successful candidate will contribute to undergraduate education and practical engineering instruction.

Position Overview

The Instructor will support undergraduate teaching and laboratory activities across computer engineering, artificial intelligence, robotics, and autonomous systems.

The position particularly welcomes candidates with knowledge and practical experience in drones and UAVs, autonomous navigation, sensing and perception, and robotic technologies.

The successful candidate may teach courses and conduct laboratory sessions in several technical areas, including:

• Drone and UAV systems
• Autonomous navigation
• Robotics and robotic control
• Sensing and perception
• Digital design
• Embedded systems
• Computer architecture
• Programming
• Computer networks
• Computer vision
• Intelligent systems

The appointment may also involve developing laboratory exercises, supervising student projects, supporting assessment activities, and contributing to course and curriculum development.

Main Responsibilities

1. Undergraduate Teaching

The successful candidate will deliver undergraduate teaching in areas relevant to computer and AI engineering.

Teaching may cover drones and UAV technologies, robotics, autonomous systems, embedded computing, digital design, programming, computer networking, and related subjects.

The role requires sufficient technical knowledge to explain engineering concepts effectively and support students’ academic progress.

2. Laboratory Instruction

The Instructor will conduct and support practical laboratory activities in relevant engineering and computing disciplines.

Laboratory instruction may involve:

• Drone and UAV platforms
• Robotic systems
• Autonomous navigation technologies
• Sensors and perception systems
• Embedded hardware and software
• Digital design tools
• Computer architecture
• Networking technologies
• Engineering software and related equipment

Hands-on experience with these technologies is particularly desirable.

3. Drone, UAV and Autonomous Systems Education

The position places particular emphasis on teaching and practical instruction involving:

• Drone and UAV technologies
• Autonomous systems
• Autonomous navigation
• Robotic control
• Sensing and perception

Candidates with academic or professional experience in these areas are especially encouraged to apply.

4. Student Project Supervision

Responsibilities may include supervising undergraduate student projects in:

• Drones and UAVs
• Robotics
• Autonomous systems
• Artificial intelligence
• Computer networking
• Related engineering fields

The Instructor will support students in developing and applying practical technical skills.

5. Laboratory Development

The successful candidate may contribute to the development and improvement of laboratory activities, practical exercises, and instructional materials.

This includes supporting hands-on learning experiences relevant to the department’s undergraduate courses.

6. Assessment and Academic Support

The role may involve:

• Supporting student assessment.
• Contributing to course-related academic activities.
• Assisting with course and curriculum development.
• Providing academic support to undergraduate students.
• Supporting departmental teaching and educational quality.

7. Research and Scholarly Activities

The position is primarily teaching-focused.

Opportunities to participate in research and scholarly activities may be available, but research experience and publications are not mandatory.

Applicants with relevant research experience may be considered favourably.

Minimum Qualifications

Academic Qualification

Applicants must hold a master’s degree from a recognised institution in one of the following fields:

• Computer Engineering
• Computer Science
• Artificial Intelligence
• Robotics
• Electrical Engineering
• Systems Engineering
• A closely related discipline

A PhD is not required by the supplied advertisement.

Technical Knowledge

Candidates must possess sufficient knowledge of computer engineering and artificial intelligence to support undergraduate teaching and laboratory instruction.

Communication and Collaboration

Applicants must demonstrate:

• Strong communication skills.
• Effective collaboration.
• Good organisational abilities.
• The capacity to support students and work within an academic department.

Commitment to Education

Candidates must demonstrate a commitment to:

• Student success.
• Academic quality.
• Effective undergraduate teaching.
• Practical laboratory-based learning.

Preferred Qualifications and Experience

1. Drone and UAV Technologies

Academic or professional experience involving drones, UAVs, autonomous systems, and robotics is preferred.

2. Autonomous Systems and Robotics

Knowledge of the following areas is particularly desirable:

• Autonomous navigation
• Sensing and perception
• Robotic control
• Computer vision

3. Computer and Embedded Systems

Candidates with knowledge of the following areas are preferred:

• Embedded systems
• Digital design
• Computer architecture
• Computer networks

4. Hands-on Laboratory Experience

Practical experience with one or more of the following is desirable:

• Drones and UAVs
• Robotic platforms
• Embedded systems
• Digital design tools
• Networking technologies
• Engineering software
• Related laboratory equipment

5. Teaching and Student Supervision

Experience teaching or supervising student projects in drones, autonomous systems, robotics, AI, or networking is preferred.

6. Research Experience

Research experience or scholarly publications are considered an advantage.

Research is not a mandatory requirement for appointment.

Teaching and Research Expectations

The position is specifically described as primarily teaching-focused.

The successful candidate’s main responsibilities will concern:

• Course delivery
• Laboratory instruction
• Student support
• Assessment
• Departmental academic activities

Participation in research and scholarly activities may be possible, but the advertisement does not establish research productivity as a compulsory appointment criterion.

The source does not specify a numerical teaching load, minimum publication count, or required number of years of teaching experience.

Employment Conditions

The advertisement does not specify:

• Salary or salary range.
• Contract duration.
• Tenure-track status.
• Weekly working hours.
• Exact teaching load.
• Appointment start date.
• Specific benefits or allowances.

These details should be confirmed through the official UAEU recruitment process.

Equal Opportunity and Inclusion

The College of Computing and Artificial Intelligence and UAEU are committed to fostering a diverse, inclusive, and equitable environment for students, staff, and faculty.

Application Deadline

31 January 2027

The employer instructs applicants to submit their applications before the closing date.

Only shortlisted candidates will be contacted for an interview.

How to Apply

Applications must be submitted through the official United Arab Emirates University online recruitment portal.

Apply Online: https://jobs.uaeu.ac.ae/

Applicants should locate the relevant Instructor vacancy in the Department of Computer and AI Engineering and follow the instructions provided by the recruitment system.

The supplied advertisement does not specify a separate list of mandatory application documents.

Job Summary

Field	Details
Employer	United Arab Emirates University (UAEU)
Country	United Arab Emirates
College	College of Computing and Artificial Intelligence
Department	Computer and AI Engineering
Job Title	Instructor
Primary Specialisation	Drones, UAV Technologies, Autonomous Systems and Robotics
Position Focus	Undergraduate Teaching and Laboratory Instruction
Minimum Qualification	Master’s degree
Eligible Disciplines	Computer Engineering, Computer Science, AI, Robotics, Electrical Engineering, Systems Engineering, or closely related field
PhD Required	No
Core Teaching Areas	UAV Systems, Robotics, Autonomous Navigation, Embedded Systems, Digital Design, Programming, Computer Networks, Computer Vision
Preferred Technical Knowledge	Sensing and Perception, Robotic Control, Computer Architecture, Intelligent Systems
Preferred Practical Experience	UAVs, Robotic Platforms, Embedded Systems, Digital Design Tools, Networking Technologies, Engineering Software
Teaching Experience	Relevant teaching or project supervision experience preferred
Research Experience	Advantage, not mandatory
Research Publications	Not required
Student Responsibilities	Undergraduate Teaching, Laboratory Instruction, Project Supervision, Assessment
Curriculum Responsibilities	May contribute to laboratory, course and curriculum development
Required Professional Skills	Communication, Collaboration, Organisation, Commitment to Student Success
Minimum Years of Experience	Not specified
Teaching Load	Not specified
Employment Type	Not specified
Tenure Status	Not specified
Salary and Benefits	Not specified
Start Date	Not specified
Interview Selection	Only shortlisted candidates will be contacted
Application Deadline	31 January 2027
Application Method	UAEU Online Recruitment Portal
Application Website	https://jobs.uaeu.ac.ae/