SINGAPORE MANAGEMENT UNIVERSITY

Research Engineer, SCIS

Location
Singapore
Posted
Jun 14, 2021
End of advertisement period
Jul 14, 2021
Contract Type
Fixed Term
Hours
Full Time
  • Contract
  • Manager
  • Bachelor Degree
  • Singapore | Closing On 14 Jul 2021

9-month 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

  • Implementation of research ideas by writing code and running software based experiments
  • Contribution to writing of research ideas
  • Contribution to solving research problems
  • Making presentations or poster to present research ideas
  • Attend research project meetings

Qualifications

  • Minimum Bachelor’s degree in Computer Science, Information Technology, Information Systems or related disciplines
  • Minimum 1 year of relevant research experience in deep learning technologies
  • Courses required: Machine learning (or similar) with good grades (A or better)
  • Courses preferred: Optimization
  • Proficiency in programming software/languages such as python
  • Demonstrated experience and know-how on deep learning technologies such as CNN
  • Experience with at least one deep learning framework, such as tensorflow or pytorch
  • Good analytical, technical and problem solving skills
  • Applicants with research publications in machine learning area will be very much preferred
  • Self-motivated individual who can work independently and also collaboratively with team members

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