The College of Engineering and Information Technology, Ajman University, has an opening for the position Full/ Associate Professor in Robotics/ Computer Vision in the Masters of Artificial Intelligence Program (MSAI), starting Spring Semester 2020-2021.
QUALIFICATIONS & EXPERIENCE:
Graduate with a Ph.D. from a reputable university.
Outstanding record in teaching graduate courses especially Artificial Intelligence related courses
Outstanding research and publications record in top journals (Scopus Q1 and Q1* rank)
Adequate experience in supervising Master theses and master projects
Record of collaborative and interdisciplinary research would be an advantage
Excellent record in community service and scholarly activities
ESSENTIAL DUTIES & RESPONSIBILITIES:
Develop and deliver courses to students in specified discipline areas of study, considering and aiming to achieve the five (5) fundamental standards of the University, those are: Teaching, Research, Training, Expertise and Practice
Evaluate and monitor individual student progress and provide feedback to sustain student success
Research, organize and manage instructional resources, courses outlines, and community networks
Provide consultative expertise as a subject matter expert to the local industry through pre-approved partnership projects by the University
Ensure a respectful and culturally sensitive learning environment in all college focused activities
Establish and maintain effective work relationships across the organization and community
Motivate and inspire confidence in others (students and colleagues) to overcome limitations to personal growth and success
Ensure required training equipment and supplies are set up in advance and materials are available
Actively seek out methods, procedures and resources to best achieve course and lesson objectives
Support and participate in accreditation initiatives
Maintain relationships with students that are conducive to learning
Perform miscellaneous job-related duties as assigned
KNOWLEDGE & SKILLS:
Ability to communicate effectively, both orally and in writing
Familiarity with the "Credit Hour" academic system
Ability to supervise student work
Ability to provide academic advising for students
Ability to work effectively with diverse team members
Knowledge of academic program planning and implementation
Familiarity with Learning Management Systems (LMS)
