Part-time Research Assistant

Saint Francis University

Department
School of Computing and Information Sciences
Rank
Research Assistant/Associate
Position type
Part-time
Reference
26/66/CIS/RA

Duties & Responsibilities

  • Deploy IoT hardware for real-time structural health monitoring of tower cranes.
  • Develop and implement AI algorithms for predictive maintenance and anomaly detection.
  • Bridge structural/mechanical systems with intelligent data science applications.
  • Contribute to research on smart city infrastructure and construction safety.

Requirements & Qualifications

  • Bachelor's or Master's degree in Engineering (Civil, Mechanical, Electronic, Systems, or Biomedical) or currently enrolled in a postgraduate program.
  • Strong programming skills in Python or MATLAB, with preferred experience in NumPy, Pandas, TensorFlow, or PyTorch.
  • Solid understanding of Machine Learning, Deep Learning, or statistical signal processing.
  • Ability to interpret data related to structural mechanics, vibrations, or kinematics.
  • Experience with IoT hardware, microcontrollers (Arduino, Raspberry Pi), or edge computing.
  • Strong problem-solving abilities and self-driven attitude toward research.
  • Good written and verbal communication skills.

Appointment

  • Part-time — duration not specified

Key Dates

  • Not specified
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