Research Engineer, Living Analytics Research Centre

May 03, 2021
End of advertisement period
Jun 02, 2021
Contract Type
Fixed Term
Full Time
  • Contract
  • Middle Management
  • PhD | Bachelor Degree | Masters
  • Singapore | Closing On 02 Jun 2021

1-year contract

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

  • Design research methodologies and develop algorithms and models
  • Design and develop hybrid approaches combining knowledge graph, machine-learning/deep learning and multi-task learning in training AI models
  • Design, conduct experiments and implement applications, tools and systems
  • Assist to develop analytics capabilities in big data infrastructure


  • PhD/Master/Bachelor Degree in Computer Science or related disciplines
  • Good knowledge in relevant research topics and possess related research skills
  • Proficiency in at least one or more of these programming languages: Python, Java, C#, C++ and C
  • Familiarity with one or more of the open source NLP frameworks (BERT, NLTK, SpaCy, ULMFiT)
  • Prior research in the AI, Deep Learning and Machine Learning field is an added advantage, preferably with significant hands-on experience with frameworks such as Tensorflow, Keras, PyTorch 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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