Research Assistant/Associate/Professor – Digital Transformation Research Center,

Job Title:

Research Assistant/Associate/Professor – Digital Transformation Research Center,

College of Business Administration, Ajman University

Job Description

The Deanship of Research and Graduate Studies at Ajman University invites applications for a full-time faculty position (Research Assistant/Associate/Professor) in the Digital Transformation Research Center (DTRC). The successful candidate will be expected to conduct high-impact research, contribute to teaching activities, secure external funding, and actively engage with the university’s academic and professional community.

Key Responsibilities:

Research & Publications
• Conduct high-impact research in areas related to organizational digital transformation.
• Publish in top-tier, Scopus-indexed Q1 (or ABS 3/4) journals.
• Participate actively in national and international research conferences.

Teaching & Supervision
• Deliver lectures and workshops in specialized research areas at undergraduate and postgraduate levels.
• Supervise graduate students’ research projects and dissertations.

Grants & Funding
• Develop and submit competitive research grant proposals.
• Secure external research funding to support ongoing research activities.

Service & Engagement
• Organize and coordinate workshops, seminars, and conferences at both national and international levels.
• Foster collaborations with industry partners, governmental institutions, and academic research centers.
• Actively contribute to the growth and visibility of Ajman University and the DTRC.

Required Qualifications & Experience:

• A Ph.D. in Business & Management or a closely related field from an internationally reputable institution.
• A strong publication record in high-impact Scopus/ABS-indexed journals with a notable h-index and citation count.
• Proven experience in teaching and research supervision at the undergraduate and postgraduate levels.
• Experience in securing and managing external research grants is highly desirable.

Skills & Competencies:

• Excellent oral and written communication skills in English.
• Proficiency in quantitative software for data analysis (e.g., SPSS, Mplus, Lisrel, R) and/or qualitative software for data analysis (e.g., Nvivo)
• Ability to work collaboratively on interdisciplinary research projects.

Application Process:

Interested candidates should submit the following:

• A cover letter highlighting relevant experience.
• A detailed curriculum vitae (CV).
• A list of publications (with emphasis on Q1 journal publications).
• Contact details of at least three references.

Notes:

• Only shortlisted candidates will be contacted.