Associate/Assistant Professor Data Analytics Ajman University

  • Full time
  • Ajman, UAE
  • Posted 2 weeks ago
  • 15000-30000 AED / Month

The department of Information Technology in the College of Engineering and Information Technology (CEIT) at Ajman University invites applications for a full time Associate/Assistant Professor Data Analytics to start in Fall of 2024/2025. The selected candidate will have primary research and teaching interests in data science/analytics. The position entails teaching at the undergraduate and robust engagement with practice and the business community. The successful candidate will be appointed to the Bachelor of Science in Data Analytics Program. You might also cooperate with other programs in the Information Technology department. This is a mid level (full time) position, and the salary range for this role is 15000 AED – 30000 AED.

Duties of Associate/Assistant Professor Data Analytics

  • Develop and teach undergraduate 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 in his/ her own field.
  • 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.
  • Actively seek out methods, procedures, and resources to best achieve course and lesson objectives.
  • Perform miscellaneous job related duties as assigned.

Job Requirements of Associate/Assistant Professor Data Analytics

  • A Ph.D. in Data Science/ Analytics or related fields from an internationally reputable university.
  • 2 year experience in teaching data science and computing courses at the undergraduate level.
  • Industrial Experience in providing statistical consultancy to researchers and the public.

Skills & Knowledge Desired

  • Outstanding research record in the field of data science, which demonstrated by publishing in top international journals and conferences (Scopus and SCIE).
  • Strong assurance of distinction in teaching, curriculum development, and learning outcome assessment.
  • Demonstrated ability to collaborate effectively with colleagues in performing professional service.
  • Ability to communicate effectively in English.
  • Excellent interpersonal skills.
  • Open to cross disciplinary cooperation in research, teaching.

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