Research Fellow, LARC

Saturday, 9 January 2021
End of advertisement period
Sunday, 7 February 2021
Contract Type
Fixed Term
Full Time
  • Contract
  • Middle Management
  • PhD
  • Singapore | Closing On 07 Feb 2021

contract ending 31 March 2021

About Us

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together – building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities – all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

Job Description

  • The Research Fellow at LARC (Living Analytics Research Centre) will work with faculty researchers on research topics in the urban/social computing, smart cities and consumer business domains, namely Data and Text Mining, Machine Learning, Deep Learning, Crowdsourcing, Recommender Systems, Social-Urban Sensing and Big Data Infrastructure.
  • Design research methodologies and develop algorithms and  models. 
  • Design and conduct experiments and implement applications, tools and systems.
  • Assist to develop analytics capabilities in big data infrastructure and conduct data science studies.


  • PhD in Computer Science or related disciplines.
  • Good knowledge in relevant  research  topics  and  possess  related research skills.                 
  • Proficient in at least one or more of these programming languages: Java, Python, C#, C++ and C.
  • Strong interest in the Al, Deep Learning and Machine Learning field is an added advantage.
  • Self-motivated and able to carry out tasks independently.
  • Excellent team player and possess strong inter-personal skills.
  • Analytical and meticulous with attention to details.

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