Education & Practice Track Faculty Hiring
Data Analytics and Business Intelligence

School of Information Systems (SIS), Singapore Management University (SMU)
Education & Practice Track Faculty Openings in the area of Data Analytics & Business Intelligence

Candidate requirements are as follows:

• Capable of designing and delivering undergraduate and master levels courses in Data Analytics & Business Intelligence
  
  For example, courses such as:
  
  • Data mining technology and applications
  • Predictive analytics technology and applications
  • Machine Learning technology and applications
  • Data warehousing technology and applications
  • Enterprise Architecture for Data Analytics & Business Intelligence
    
    
• Deep experience with applying data analytics to real world problems in one or more industry sectors.
  
  

  • For example, in one or more sectors such as such as hospitality, travel and tourism; retail, supply chain & logistics; e-commerce; telco & Information services; healthcare & health service delivery; banking & financial markets; government and public sector.
    

• Extensive hands-on experience with designing, implementing and using data analytics and/or business intelligence solutions using leading commercial off-the-shelf enterprise software packages.
  
  
  • For example, using software packages such as SAS (including Enterprise Miner), IBM Business Analytics, SPSS, Oracle Business Intelligence, SAP Business Intelligence, etc.
  • Also, experience with the large-scale data management tools required for analytics and BI applications.
    
    
• Deep experience with integrating data analytics solutions and enterprise information systems.
  
  

  • For example, integrating Analytics/BI capabilities with enterprise systems such as ERP, ERM, CRM, SCM, EIM, or other types of enterprise applications involving large-scale data bases.
    
    
• Familiarity with state-of-the-art and emerging “next practice” trends in Data Analytics & Business Intelligence.
  
  
  • For example, familiarity with the fusion of numeric and text data, or more generally, with the fusion of structured and unstructured data; increasingly real-time and on-line applications of analytics; working with continuous input streams of data; using machine learning for ongoing updating of assumptions, models and parameters, etc.
    
    
• To be considered for an Assistant or Associate Professor position in the Education or Practice track, a PhD in a closely related discipline from a well recognized university is required.
  
  
  • For example, a PhD in Computer Science, Information Technology, Information Systems, Statistics, Management Science, Marketing Analytics, Computational Physics, Computational Engineering or Science, and the like.

• Highly qualified candidates who have a Masters degree can apply for a faculty position at the level of lecturer or senior lecturer.

• Outstanding communication skills

• A passion for learning and teaching

Prior experience with consulting, training, or teaching is a strong advantage.

Interested applicants should submit a cover letter, curriculum vitae, and at least two names of referees. Please submit electronically to:

SIS Faculty Recruitment email: siscv@smu.edu.sg

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About SMU

The Singapore Management University (SMU) was officially incorporated in January 2000. It is a public-funded institution chartered in a unique way to provide the flexibility and operating characteristics of an American-style private university. Today, SMU is comprised of six schools, and is home to nearly 7,000 undergraduate students and 294 faculty members. It has a rapidly growing number of Masters & Ph.D. programmes and students.

About the SMU School of Information Systems

The School of Information Systems has a Ph.D. in Information Systems programme, with Technology tracks, as well as an Information Systems & Management track. The School offers a Master of IT in Business (MITB), a professionally oriented masters-by-coursework programme. There is an MITB (Financial Services) track focusing on the integration of Technology & Operations in Banking. There is also an MITB (Service Sector Analytics) track focusing on using increasingly real-time analytics to improve customer understanding, operational performance, and agility in service industry that are strategically important to Singapore. Our undergraduate programme, BSc (Information Systems Management), has over 900 students and has been highly successful with job placements.

SMU SIS-Carnegie Mellon Partnership

Since its founding in 2003, SMU SIS has had close working ties with Carnegie Mellon University (CMU). CMU faculty members have actively participated in SMU SIS faculty selection and mentoring, and in the design of the SIS academic programmes.

As of 2010, the SMU SIS-Carnegie Mellon Partnership has refocused around the Living Analytics initiative.