Assistant Professor in Data Science/ Analytics

Ajman University; United Arab Emirates; On-site; AED 120,000 - 180,000; Full time

Job summary

A reputable educational institution in the United Arab Emirates is seeking an Assistant Professor in Data Science/Analytics to develop and teach undergraduate courses. The role requires a Ph.D. in data science or related fields, a strong research record, and effective communication skills. Candidates will engage in innovative teaching methods and conduct high-quality research while fostering a supportive learning environment. Experience in curriculum development and student engagement is essential for success in this position.

Qualifications

• A distinguished research record with publications in reputable journals.
• Experience in teaching data science and computing courses.
• Demonstrated ability to provide academic advising.

Responsibilities

• Develop and teach undergraduate courses in Data Science/Analytics.
• Engage in technology-based approaches to learning.
• Conduct high-quality research and publish outcomes.
• Maintain effective relationships with students.

Skills

Ph.D. in data science/Analytics

Research record in top journals

Effective communication in English

Interpersonal skills

Ability to collaborate

Education

Ph.D. in data science/Analytics or related fields

Tools

Familiarity with Learning Management Systems (LMS)

Job description

Assistant Professor in Data Science/ Analytics

United Arab Emirates (On-site)

Job Description

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:

A letter of interest addressing qualifications for the position.

A statement of teaching philosophy and research.

Copies of transcripts of all graduate coursework.

A list of three professional references with names, titles, phone numbers, and email addresses- including a current or previous supervisor.