Job Overview

Research Engineer, SCIS

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

• Explore literature of research areas relevant to anomaly detection
• Develop and implement cutting-edge anomaly detection methods
• Theoretical and empirical analysis of the proposed methods
• Write high-quality papers for publication at top-tier venues

Qualifications

• Minimum Bachelor’s/Master’s/PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines 
• Minimum two years of relevant research experience in machine learning and data mining
• Basic knowledge/Proficiency in programming software/languages such as Python, TensorFlow and PyTorch will be positively considered/ is required
• Demonstrated experience and know-how on developing and implementing deep learning models
• Experience with at least one programming software/languages, such as Python is preferred
• Excellent working knowledge of data mining
• Good analytical, technical and problem solving skills
• Applicants with research publications in data mining and machine learning area will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

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