Assistant Professor in Finance and Accounting - (Priority to UAE Nationals)
Description
HBMSU is seeking to appoint a full-time Assistant Professor in Finance and Accounting (areas: Finance/FinTech, Accounting Analytics, Quantitative Methods, or a related field) to support the University’s mission of providing learner-centered, quality smart learning. This involves teaching and supervising effectiveness, professional development, research and scholarly/creative activities, institutional service, professional and community service, student advising and involvement, and supervisory responsibilities as assigned.
Candidates should have an international reputation in their area of specialty. A strong interest in the development and management of related courses and programs; and collaborative research activities with internal and external scholars is an added advantage. The appointee will join the School of Business and Quality Management and will be expected to be familiar with online teaching platforms and methodologies, develop content for relevant courses, work on quality research. Applicants must also demonstrate a commitment to their discipline through scholarly and creative activities.
Main Roles & Responsibilities
- Teach both undergraduate and postgraduate courses using online learning platforms and smart technologies.
- Develop instructional materials and e-content for technology-enhanced courses and online learning programs.
- Supervise, advise, and mentor learners in their academic study plan and master and Ph.D. theses.
- Develop and deliver professional short courses and workshops for target groups and professional communities.
- Train and advise educators, teachers, and faculty on online learning, curricula, smart pedagogy and assessment.
- Publish research in high quality Scopus indexed journals.
- Write and apply for research grants in smart learning and innovative pedagogy projects;
- Perform administrative duties as needed.
Required Qualification & Skills
- A PhD in HRM from an AACSB-accredited program with a quantitative background (preferably from a top-200 ranked university).
- A successful research track record in peer-reviewed indexed journals
- Experience working in an online / e-learning environment will be given preference.
- Demonstrated ability to integrate computer technology into the curriculum.
- Ability to develop and deliver professional short courses.
