Assistant Professor in Data Science/ Analytics

Job Title: Assistant Professor in Data Science/ Analytics

College/Office: College of Engineering and IT

QUALIFICATIONS & EXPERIENCE :

• A Ph.D. in data science/ Analytics or related fields from an internationally reputable university

• A distinguished research record in the field of data science, which is demonstrated by publishing in top international journals and conferences (Scopus and SCIE)

• Strong assurance to distinction in teaching, curriculum development, and learning outcome assessment

• Experience in teaching data science and computing courses at the undergraduate level

• Demonstrated ability to collaborate effectively with colleagues in performing professional services.

• Ability to communicate effectively in English

• Excellent interpersonal skills.
  

ESSENTIAL DUTIES & RESPONSIBILITIES :

• Develop and teach undergraduate courses in Data Science/ Analytics and Computer Science

• Engage in innovative and technology-based approaches to learning and teaching

• Participate in committees at the departmental, college, and/or university levels as assigned

• Actively engage in promoting the growth of the Ajman University

• Ability to provide consultancy services to researchers and the business community.

• Assess and track each student's progress and give feedback to support ongoing success.

• Conduct high-quality research in his/her own field and publish research outcomes in reputable journals and conferences

• 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

• Actively seek out methods, procedures, and resources to best achieve course and lesson objectives

• 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 conduct independent research and publish in reputable journals and conferences

• Ability to work effectively with diverse team members

• Knowledge of academic program planning and implementation

• Familiarity with Learning Management Systems (LMS)
  

APPLICATION PROCESS

A completed application will include: