Assistant Professor in Data Science Full Time

Assistant Professor in Data Science Jobs in Ajman, UAE

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
• Publish high-quality research in leading internationally recognized journals
• 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:

1. A letter of interest addressing qualifications for the position.
2. A current curriculum vitae.
3. A statement of teaching philosophy and research.
4. Copies of transcripts of all graduate coursework.
5. A list of three professional references with names, titles, phone numbers, and email addresses- including a current or previous supervisor.