AI, Business Analysis, Data Science/Mining, Decision Analysis/Science
Job Description – Lecturer/Senior Lecturer in Analytics & Operations
The Department of Analytics & Operations in the National University of Singapore (NUS) Business School is seeking qualified candidates for a Lecturer/Senior Lecturer (Educator Track) position in analytics and operations, starting May 2020. The appointee will be expected to teach both undergraduate and graduate courses such as text analytics, social media analytics, network analytics and general machine learning/AI. Candidates should ideally have a Ph.D. degree in data science, machine learning or a related field, plus teaching experience at university level. Candidates with a Master’s degree and profound industry experience in relevant areas might also be considered. We offer a competitive compensation and benefits package as well as a promising career path.
Qualified applicants should submit a full CV (including a full list of publications and teaching achievements), a cover letter addressing their teaching philosophy, and three letters of reference (or a list of three individuals who can serve as references) to Dr Liu Qizhang (firstname.lastname@example.org), on or before Aug 20, 2020. Applicants without a publication record should also submit a job market paper.
About the Department of Analytics & Operations at NUS Business School
NUS Business School is recognized as one of the top business schools in the Asia-Pacific region. It also co-hosts the NUS Business Analytics Centre jointly with the NUS School of Computing. Our vision is to be the leading business school in Asia, globally recognised for excellence in education and research, and our mission is to advance knowledge and develop leaders so as to serve business and society.
The Department of Analytics and Operations has 30 faculty members in the areas of analytics, operations research, operations and supply chain management, and information technology. The Department has a strong and vibrant research environment. Active involvement with industry is also pursued through executive education programmes and consulting projects.
The NUS Business School has a long tradition of excellence in both teaching and research. We strive to nurture future-ready, open-minded, and professionally competent graduates. The ideal candidate should be a passionate and student-centric educator who can demonstrate a commitment to a teaching career, a practitioner who can relate machine learning theories to business applications, and a coach who will groom our students into business-focused and analytics-driven managers. Candidates who are early career academics should ideally have at least some previous teaching assistant experience, while those more experienced candidates should have previous lecturing experience, evidence of curriculum development and ideally also experience in supervising Master’s students.
About Department of Analytics & Operations, National University of Singapore
Department of Analytics & Operations
National University of Singapore