Adjunct Lecturer

A premier university in Asia, the Singapore Management University (SMU) is internationally recognised for its world‐class research and distinguished teaching. Established in 2000, SMU’s mission is to generate leading‐edge research with global impact and produce broad‐based, creative and entrepreneurial leaders for the knowledge‐based economy. SMU education is known for its highly interactive, collaborative and project‐based approach to learning, and for its technologically enabled pedagogy of seminar‐style teaching in small class sizes. The School of Computing and Information Systems (SCIS) offers an exceptionally supportive and inspirational environment for academic scholarship and research, applied R&D projects, and innovative education initiatives. We currently have over 40 tenure‐track faculty members working across research areas in computer science & engineering, and information systems management. They are complemented by over 30 practice & education faculty members who focus on teaching, translation and pedagogical research. Our Research. We are passionate about our research. We aim for excellence both in fundamental contribution to academic knowledge, as well as in creating technology with practical impact. Real‐world industry sectors provide SCIS with a testbed and laboratory for experimentation, as well as a fertile breeding ground for new ideas. Our faculty and students apply their research results to solve real problems in a variety of industry settings and to create IT applications and systems. At the same time, our faculty actively publish in top‐quality Computer Science and Management Science conferences and journals. On our faculty are several world‐class scholars and rising stars in their respective disciplines. We are committed to supporting the development of our faculty. Besides start‐up support and career mentoring for junior faculty, their Ph.D. students are funded by the school rather than paid from their research grants. SCIS faculty members are encouraged to collaborate on innovative research projects and also on integrative and interdisciplinary projects. SMU as well as Singapore government agencies, such as the National Research Foundation, provide generous support for high‐quality research proposals. Our Education. SCIS offers the Ph.D. in Information Systems and Ph.D. in Computer Science programmes. Ph.D. students can concentrate in any of our computer science oriented research areas, or in our management science oriented Information Systems & Management research area. SCIS launched a Professional Doctoral Degree, Doctor of Engineering (EngD) in 2020. The programme aims to train students to become IT leaders with deep technical expertise for innovating, designing and managing complex IT systems. SCIS also offers Master of IT in Business (MITB), a professionally oriented coursework programme. Drawing from thought leadership in the ambits of data analytics, technological platforms and business strategies, the MITB programme delves into five specialisation tracks: Financial Technology & Analytics, Data Science & Analytics, Artificial Intelligence, Digital Transformation and Cybersecurity. Each of these tracks uniquely resources students to lead competently and decisively. Additionally, the undergraduate programmes offerings consist of the B.Sc. (Computer Science), B.Sc. (Information Systems), B.Sc. (Computing & Law) and B.Sc. Software Engineering programmes. The programmes have been remarkably successful in demonstrating educational innovations and creating a culture of learning, establishing external linkages and partnerships with industry, government and the social sector, and with job placement. We have an entrepreneurial student body, and many SCIS undergraduates have gone on to create or participate in start‐ups. Job Requirement Candidate requirements are as follows: Capable of delivering postgraduate courses in the area of Applied Machine Learning. Masters degree or PhD degree in a closely related discipline from a well‐recognised university. For example, a Masters or PhD in Computer Science, Information Technology, Information Systems, Statistics, Management Science, Decision Sciences, Marketing Analytics, Computational Physics, Computational Engineering or Science, and the like. Outstanding communication skills A passion for learning and teaching Prior experience with consulting, training, or teaching is a strong advantage. #J-18808-Ljbffr