About Us

The SMU Machine Learning Group led by Prof Steven HOI is now hiring researchers, engineers, and exchange students for exciting research and developments on machine learning, deep learning, online learning, and beyond. Our mission is to advance AI by exploring novel large-scale machine learning (especially focused on deep learning and online learning), and building open-source software of industrial quality. The Machine Learning group is also involving in the Living Analytics Research Centre (LARC) --- a joint research centre between Singapore Management University (SMU) and Carnegie Mellon University (CMU). We have been building the cutting-edge GPU supercomputer infrastructure (e.g., NVIDIA DGX-1 supercomputers), collaborated with industry (e.g. NVIDIA, Microsoft, Alibaba, etc). By providing great training, comprehensive software tools, nice office and the best hardware infrastructure, we aim to help you make rapid advance in machine learning, deep learning, and AI research.

Full-time Job Positions

Research Fellow & Research Scientist

Postdoctoral Research Fellow / Research Scientist candidates must have completed all requirements for the PhD degree by the time of appointment. Candidates must have prior research and project expertise relevant to one or more aspects of our interests. We welcome applications from those who have recently completed a PhD, as well as from PhD degree holders who have been working for several years.

Research Associate & Research Engineer

Research Associate / Research Engineer candidates must complete an undergraduate or master’s degree in a relevant area to support software system development. An appropriate background may include computer science, computer engineering, information systems & technology, applied mathematics or statistics training and experience. Candidates with prior project experience in industry or in R&D labs are especially welcome!

Exchange Students / PHD Study

Exchange students can be either graduate students (PHD or Master) or undegraduate students in overseas universities. Candidates must have prior research and project expertise relevant to one or more aspects of our intersts. For exchange undergradaute students, we welcome those with strong programming ability and project expereience, and especially encourage those who wishes to continue their graduate studies at SMU.

Research Topics

We are looking for talented candidates with skills and experience in one or more of the following areas:

  • Deep Learning: focus on either theory research or practical applications (particularly for visual recognition)
  • Online Learning: focus on either theory or practical applications
  • Computer Vision and Multimedia: image recognition, object detection, OCR, image retrieval, video surveillance, etc
  • Convex Optimization: large-scale optimization, solid math background, etc
  • Cybersecurity Analytics: malicious web detection, malware analytics, intrusion detection, etc
  • Real-time Stream Analytics: high-speed stream data analytics using online learning
  • GPU & Distributed Systems: GPU programming expertise, and distributed systems (MapReduce, Hadoop, Spark, storm, etc)
  • Computational Finance: online portfolio selection, time series prediction, finacial sentiment analysis, etc

Research Projects

Candidates will be chosen to work on one of the following reseach projects:

  • Project Title: An on-line process monitoring scheme to improve accuracy of the tube boiler inspection process
    The staff will be working on research investigation of machine learning and data mining techniques (especially for online learning and deep learning) with application to resolving large-scale data analytics tasks for our real-world project which aims to develop machine learning algorithms that can learn to predict real-time when receiving sensor data towards smart monitoring of tube boiler inspection.
  • Project Title: FoodAI - Food Image Recognition with Deep Learning
    The staff will be working on research investigation of deep learning and machine learning techniques with application to resolving large-scale food image recognition tasks that can recognize a wide range of food in Singapore and beyond. Candidates will also be working on real-world applications with our parnters.

How to Apply

The salary for these positions will be based on the candidate's relevant experience and qualifications.
To apply or enquiry, please send your full CV to Prof Steven Hoi by email: chhoi@smu.edu.sg

Job Post date: 1 Oct 2016
Application deadline: Open until filled


Our SMU research lab has the worldclass computing enviroments for conducting cutting-edge research. SMU is the first institution in Singapore and the Southeast Asian region to take advantage of an NVIDIA DGX-1 deep learning supercomputer for AI research.

See more new reports about us in media: Hareware Zone | techarp | IDM |

Research Grant Sources / Collaborators / Supporters