Assistant/Associate Professor HR Analytics & AI | AURAK

Job Description

The American University of Ras Al Khaimah (AURAK) invites applications for a full-time Assistant/Associate Professor in Human Resource Analytics and AI within the School of Business for Fall 2027.

The School seeks an academic who can teach a diverse portfolio of Human Resource Management courses while integrating contemporary developments in people analytics, artificial intelligence, predictive analytics, sustainability, digital work, and technology-enabled HRM.

The successful candidate must also maintain a research profile or agenda that supports classification as a Scholarly Academic under AACSB accreditation standards and contribute to service at the University, disciplinary, and community levels.

Employer: American University of Ras Al Khaimah (AURAK)
School: School of Business
Location: Ras Al Khaimah, United Arab Emirates
Academic Rank: Assistant Professor / Associate Professor
Field: Human Resource Management / Human Resource Analytics and AI
Expected Start: Fall 2027
Language of Instruction: English

Human Resource Analytics Professor – Position Overview

AURAK is seeking a faculty member with expertise in Human Resource Management and the ability to teach contemporary HR subjects informed by:

• Research.
• Sustainability standards.
• Technological developments.
• Artificial intelligence.
• Workforce analytics.
• Contemporary employment practices.

The role combines teaching, research, academic service, student development, and contribution to the School of Business’s AACSB-related scholarly environment.

Teaching Areas

The successful candidate will be credentialed to teach subjects including:

• People Analytics and Workforce Forecasting.
• Artificial Intelligence in Recruitment and Selection.
• Predictive Analytics for Turnover, Performance, and Engagement.
• Digital Collaboration and Employee Monitoring.
• Flexible Work, Work Design, and Productivity.
• High-Performance Work Systems.
• Talent Attraction, Development, and Retention.
• Diversity Climate and Psychological Safety.
• Human Sustainability and Responsible Employment.
• Competency-Based Development.
• Cross-Cultural Leadership.
• Green HRM.
• Compensation Management.
• Technology-Mediated Performance Management.

This teaching portfolio reflects the School’s emphasis on the intersection of Human Resource Management, data analytics, AI, sustainability, and emerging workplace technologies.

People Analytics and Workforce Forecasting

The position places substantial emphasis on data-informed Human Resource Management.

Relevant teaching areas include:

• Workforce forecasting.
• People analytics.
• HR metrics.
• Employee-data interpretation.
• Evidence-based workforce decision-making.

Candidates should be able to connect analytical methods with practical Human Resource Management decisions.

Artificial Intelligence in Human Resource Management

The successful candidate will contribute to teaching in areas where AI is increasingly influencing HR practice.

Topics include:

• Artificial intelligence in recruitment.
• AI-supported selection.
• Technology-mediated performance management.
• Digital employee monitoring.
• Data-driven talent management.

The role therefore requires an academic profile capable of connecting established HR theory with emerging technologies.

Predictive HR Analytics

The advertised teaching portfolio includes predictive approaches to major workforce outcomes.

Areas include:

• Employee turnover.
• Employee performance.
• Employee engagement.
• Workforce planning.
• Talent retention.

Candidates should be able to help students understand how analytics can support managerial decision-making while maintaining appropriate academic and professional standards.

Contemporary Work and Productivity

The faculty member will also teach contemporary topics concerning the changing nature of work.

These include:

• Flexible work.
• Work design.
• Productivity.
• Digital collaboration.
• Employee monitoring.
• High-performance work systems.

Talent Management and Employee Development

Teaching responsibilities also cover core Human Resource Management areas such as:

• Talent attraction.
• Talent development.
• Talent retention.
• Competency-based development.
• Compensation management.
• Performance management.

Sustainability and Responsible HRM

The School also expects teaching to reflect current sustainability and responsible-employment considerations.

Relevant subjects include:

• Human sustainability.
• Responsible employment.
• Green HRM.
• Diversity climate.
• Psychological safety.

This gives the position a broader scope than traditional HRM teaching alone.

Cross-Cultural Leadership

The successful candidate will also contribute to teaching in:

• Cross-cultural leadership.
• Diverse workforce management.
• Organisational and employee development.

This is particularly relevant within AURAK’s international and multicultural higher-education environment.

Research Expectations

The successful candidate must demonstrate either an established research record or an active scholarly agenda.

The research profile should support classification as a Scholarly Academic under AACSB accreditation standards.

Applicants should therefore demonstrate research activity relevant to their academic discipline and rank.

AACSB Scholarly Academic Expectations

The faculty member is expected to maintain appropriate scholarly engagement consistent with AACSB requirements.

Relevant evidence may include:

• Peer-reviewed journal publications.
• Conference research.
• Active research projects.
• Continuing scholarly activity.
• A clearly articulated future research agenda.

The precise evidence required will depend on the School’s AACSB qualification framework.

Required Qualifications

Applicants must hold:

• An earned doctorate in Human Resource Management with an appropriate specialisation from an accredited university.

Research Requirements

Applicants should demonstrate:

• An established research record appropriate to the Assistant Professor or Associate Professor rank.

Candidates should ensure their application provides clear evidence of recent and relevant scholarly work.

Teaching Experience

Applicants must demonstrate:

• A history of successful university-level teaching experience in the relevant specialisation.

Given the advertised teaching portfolio, experience across contemporary Human Resource Management, analytics, AI, or related areas would be particularly relevant.

Academic and Community Service

Candidates should demonstrate:

• A record of university service.
• A record of community service.

All AURAK faculty are expected to contribute service to:

• The University.
• The academic discipline.
• The wider community.

About the School of Business

AURAK’s School of Business offers a Bachelor of Science in Business Administration with majors in:

• Accounting.
• Business Analytics.
• Finance and Financial Technologies.
• Human Resource Management.
• Digital Marketing Management.
• Hospitality and Tourism Management.

The School also offers a concentration in:

• Entrepreneurship.

Graduate programmes include:

• MBA.
• Executive MBA.

According to the vacancy information, the School of Business was granted initial AACSB accreditation in 2023.

About the American University of Ras Al Khaimah

The American University of Ras Al Khaimah (AURAK) is an independent, public, state-owned, non-profit, coeducational institution in the United Arab Emirates.

The University offers undergraduate and graduate programmes based on the North American higher-education model while reflecting the cultural context of the Gulf region.

According to the vacancy information:

• AURAK is officially licensed by the UAE Ministry of Education.
• Its academic programmes are accredited by the Commission for Academic Accreditation (CAA).
• The University has achieved accreditation through the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC).
• English is the language of instruction.

Living in Ras Al Khaimah

Ras Al Khaimah is located in the northern part of the United Arab Emirates and offers access to a range of outdoor and leisure activities.

The vacancy highlights opportunities for:

• Water sports.
• Hiking.
• Mountain climbing.
• Other outdoor and athletic activities.

The Emirate is described as providing a quieter environment than some larger UAE cities while remaining well developed and family oriented.

How to Apply

Applications must be submitted electronically through the AURAK recruitment system.

Applicants must provide:

1. Cover letter describing their qualifications and interest in the position.
2. Updated CV, including the names and contact details of at least three professional referees.
3. Summaries of recent teaching evaluations.
4. Two or three recent research papers that have either:
   • Been published in a peer-reviewed journal, or
   • Been presented at a peer-reviewed conference.
5. Copies of master’s and doctoral degrees or diplomas and transcripts.

Official transcripts will be requested if an offer of employment is made.

Important Note on the Advertised Position Title

The source material contains two related titles:

• Assistant/Associate Professor in Human Resource Management, appearing in the requirement heading and job-description heading.
• Assistant/Associate Professor in Human Resource Analytics and AI, identified as the specific faculty position being recruited for Fall 2027.

Because the detailed vacancy explicitly states that applications are invited for Assistant/Associate Professor in Human Resource Analytics and AI, this AAJ listing uses that more specific title.

The broader academic discipline remains Human Resource Management.

Job Summary

Employer	American University of Ras Al Khaimah (AURAK)
School	School of Business
Location	Ras Al Khaimah, United Arab Emirates
Academic Rank	Assistant Professor / Associate Professor
Position	Assistant/Associate Professor in Human Resource Analytics and AI
Discipline	Human Resource Management
Expected Start	Fall 2027
Required Qualification	Earned doctorate in Human Resource Management with appropriate specialisation from an accredited university
Research Requirement	Established research record appropriate to rank and ability to maintain AACSB Scholarly Academic status
Teaching Requirement	Successful university teaching experience in the specialisation
Key Teaching Areas	People analytics, AI in recruitment, predictive HR analytics, workforce forecasting, digital work, talent management, Green HRM, compensation and performance management
Service Requirement	Record of university and community service
Language of Instruction	English
Application Materials	Cover letter, CV, teaching evaluations, 2–3 recent research papers, degree copies and transcripts
Application Deadline	Not stated