Assistant, Associate, or Full Professor in Data Science and Artificial Intelligence

The Asian Institute of Management (AIM) was established in 1968 and was the first educational institution in Southeast Asia to be accredited by AACSB. It is located in Makati City, the premier central business district of the Philippines. AIM championed the management principles of social responsibility and ethical governance from the very start. Its programs are designed to enable students not only to find their purpose and excel at what they love doing, but also extend this passion towards a shared prosperity encompassing sustainable gains, both financial and social. AIM’s focus on real-world learning with real-time application allows its graduates to unlock value and seize opportunities amidst the rapid shifts and challenges we face in today’s world. 

Salary: Competitive (may be eligible to receive a housing subsidy) 

We are seeking to appoint tenure-track Assistant, Associate, or Full Professor in Data Science and Artificial Intelligence. 

QUALIFICATIONS

Academic Qualifications (ESSENTIAL)

• A doctoral degree in mathematics, computer science, artificial intelligence, physics, statistics or related quantitative field, with international peer-reviewed academic journal publications. 

Professional Experience (DESIRABLE)

• Professional experience in applied and theoretical statistics and other data science relevant fields. Experience gained in an international environment will be particularly valued. 

Teaching Experience (DESIRABLE)

• Local or international business school teaching experience (preferably at AACSB- or EQUIS-accredited schools is desirable)
• Experience in teaching courses at the postgraduate level
• Practices participant-centered learning
• Familiarity with teaching and developing online courses 

Areas of Expertise

• Demonstrable expertise in the field of statistics, machine learning, deep learning, large-scale data management, big-data analytics, signal processing, visualization, artificial intelligence, data-driven decision making and optimization, and data mining
• Desirable areas of expertise and specific research interests may include: 

• • Data science applications
  • Applied and/or computational statistics
  • Artificial intelligence
  • Machine learning
  • High-performance computing
  • Scalable algorithms

RESPONSIBILITIES

Our faculty members are expected to be an active member of AIM community. There are opportunities to participate various Program, School, and Institute committees as well as to lead/direct our degree programs or schools. Excellent interpersonal, communication, and management skills are also required. Faculty members have the following teaching, research, and citizenship responsibilities: 

Teaching Responsibilities

• Undertake teaching in degree and non-degree programs
• Play an active role in the design, development, planning, and review of courses, modules, etc. for degree and non-degree programs
• Provide general guidance and support to students, and give timely and relevant feedback
• Mentor students undertaking capstone projects, learning labs, and other projects or activities 

Research Responsibilities

• Undertake scholarly and/or practice-oriented research and actively publish in internationally recognized peer-reviewed research journals
• Aim to be recognized as a thought leader in their chosen field, developing and maintaining a research profile appropriate to the discipline 

Citizenship Responsibilities

• Uphold the Institute's values in all activities, both personal and professional
• Be an active and responsible member of the Institute's collegial body and open to accepting administrative/leadership assignments if an opportunity arises
• Contribute to the management, administrative processes, and committee responsibilities of the Institute
• Actively take part in activities of Programs, Schools, and Institute 

APPLICATION PROCESS

Applicants must apply online by submitting their (1) letter of interest and (2) up-to-date Curriculum Vitae, detailing educational background, work and/or consulting experience, and a list of research publications at officeofthedean@aim.edu .