Health Informatics Lab (HI-Lab), Kathmandu University
Overview: Health Informatics Lab (HI-Lab) is inviting applications for an Undergraduate Research Traineeship focused on wearable sensing, human motion signal processing, and time-series pattern classification using low-cost IMU sensors and embedded systems. The trainee will work on collecting motion data, building a clean preprocessing pipeline, and developing pattern-matching / classification approaches suitable for real-world use.
What you will learn / work on
- Working with IMU sensors (accelerometer + gyroscope) and embedded data acquisition
- Raspberry Pi Pico / microcontroller interfacing (I2C), logging, and power considerations
- Signal preprocessing: filtering, calibration, sensor fusion (e.g., complementary filter), noise handling
- Segmentation of motion cycles using peak detection / event detection
- Time-series comparison & classification (template matching, Dynamic Time Warping-style alignment)
- Feature extraction (time-domain + frequency-domain) and basic evaluation metrics (accuracy, F1)
- Research practice: literature reading, experiments, documentation, and reporting
Requirements
- Academic: Currently enrolled undergraduate (AI, CS, CE, EE, ME, CM or related).
- Math/Concepts: Comfortable with basic linear algebra and calculus; understanding of signals/time-series is a plus.
- Technical: Python (required). Familiarity with MicroPython/C/C++ or embedded systems is a plus.
- Soft Skills: Clear communication, consistency in experimentation, teamwork mindset.
Program Details
- Nature: Traineeship (Unpaid / Research-focused)
- Period: February 15 – June 15, 2026
- Location: Health Informatics Lab, Kathmandu University
How to Apply
Submit your CV and a brief Statement of Interest (highlighting your Python skills, math background, and any sensors/embedded or ML exposure) to:
Email: hilab (at) ku(dot)edu(dot)np