COMPANY DESCRIPTION
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.
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.
OTHER INFORMATION#LI-JN2
Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University
