Lecturer in Statistical Computing

5 days ago


Ajman, Ajman, United Arab Emirates AJMAN UNIVERSITY Full time

Ajman University invites applications for a Data Analytics Educator position. The successful candidate will be responsible for teaching undergraduate courses in data science, developing innovative approaches to learning, and publishing research findings.

Job Responsibilities

The selected applicant will be expected to:

  • 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 in his/her own field.
  • Participate in committees at the departmental, college, and/or university levels as assigned.

Essential Duties and 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 in his/her own field.
  • Participate in committees at the departmental, college, and/or university levels as assigned.

Desired Candidate Profile

  • Teaching and Instruction
    • Course Development and Teaching: Designing and teaching undergraduate and graduate-level courses related to data analytics.
    • Lectures and Classroom Management: Delivering lectures, seminars, and workshops.
    • Lab Supervision and Projects: Overseeing lab sessions where students apply analytical techniques to real-world datasets.
  • Research and Scholarly Activity
    • Conducting Research: Engaging in original research in the field of data analytics.
    • Research Collaboration: Collaborating with faculty members, industry partners, and other researchers to conduct interdisciplinary research.
    • Publishing Research: Writing and publishing research findings in reputable, peer-reviewed journals, conferences, or books.
  • Professional Development and Industry Engagement
    • Staying Updated with Industry Trends: Keeping up with the latest trends, tools, and technologies in data analytics.
    • Industry Collaboration: Partnering with companies, non-profits, or government agencies to apply data analytics to real-world problems.
  • Service to the Institution and Academic Community
    • Committee Work: Serving on academic committees, such as curriculum development committees, research committees, and student evaluation committees.
    • Mentoring Graduate Students: Supervising graduate students working on theses, dissertations, or research projects.


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