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Singapore Management University

Research Scientist (1-year contract), SCIS

2-4 Years
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  • Posted 14 hours ago
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Job Description

Responsibilities

  • This position is for School of Computing and Information Systems (SCIS).
  • Design and develop wearable hardware prototypes, including novel form factors, for reliable PPG sensing and on-device heart rate estimation under real-world conditions.
  • Develop signal processing and machine learning algorithms for robust physiological parameter estimation usingPPG and auxiliary sensing modalities.
  • Design and implement resource-efficient software pipelines for edge/on-device physiological monitoring underhardware and energy constraints.
  • Conduct large-scale user studies and data collection across participants with varying demographics, physiological conditions, and activity levels.
  • Publish in top-tier academic venues (SCIS A*/A venues).
  • Other duties as assigned.

Qualifications

  • Minimum PhD degree in Computer Science, Biomedical Engineering, Information Systems or closely related disciplines.
  • Minimum 2 years of relevant research experience in wearable-based sensing, PPG signal analysis, embedded device, or signal processing.
  • Excellent academic record with publications in CS ranking A* venues (SenSys, PerCom, MobiSys, MobiCom,IMWUT).
  • Experience with the deployment and use of Deep Learning frameworks (e.g., TensorFlow or Pytorch), includingthe design of neural networks-based models for activity recognition.
  • Proficiency in programming software/languages such as Python and C is required.
  • Experience with sensing using wearable devices, especially earables, is required.
  • Practical experience with resource-efficient algorithms for human activity recognition and domain adaptation is highly desired.
  • Demonstrated experience and know-how of signal processing is a strong plus.
  • Good analytical, technical and problem-solving skills.
  • Research background in Human-Computer Interaction is preferred.
  • Self-motivated individual who can work independently and collaboratively with team members.

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Job ID: 148496139

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