Open Positions

Open positions are listed in below. Besides the open positions, our group always looks for movitated students to join us. We welcome students who are looking for opportunities to explore research interest or gain research experiences. Reach out to Prof. Rui Hua (ruh725@lehigh.edu) for any opportunities.

PhD Students

If you are interested in joining our group, please send an email with your CV, list of courses related to the qualifications below, and a short paragraph about yur past research experience and why you’d like to join our research group to Prof. Rui Hua (ruh725@lehigh.edu).

Start date: Spring and Fall 2026.

Description: The PhD student will work on research of wearable and AI-powered digital health solutions for patients with neurological disorders in a cross-disciplinary research team, including pre-health/pre-med, engineering undergraduate and graduate students at Lehigh University and clinicians from the local hospitals. The student will learn and apply hands-on, quantitative engineering skills and gain clinical experiences through working closely with the collaborated hospitals and clinicians, and eventually translating research into real-world impacts. The student can choose a PhD program at Department of Electrical and Computer Science in College of Engineering or a PhD program in College of Health at Lehigh University. The position is fully funded. Requirements may be different in PhD programs in College of Engineering and College of Health. The application deadline can be flexible. Reach out to Prof. Hua for details.

Example Responsibilities and Tasks

• Work on sensor data processing, analysis, multimodal data modeling and machine learning/deep learning.
• Participate in recruitment and data collection in the community and clinics.
• Work on preparation of manuscripts for publication.
• Attend and present at conferences.

Qualifications

• With a major/degree in electrical and computer engineering, biomedical engineering, or a related field.
• Knowledge and experience in signal processing, sensor data collection and analysis, such as EMG, IMU.
• Knowledge and experience in machine learning/deep learning.
• Programming skills: python, C/C++.
• Prior research experience in working on wearables and human health.
• Creative and collaborative mindsets, and strong interest in research of wearable technologies.

Others Nice to Have (any of the listed ones)

• Knowledge and experience in embedded systems, microcontrollers, circuits and PCBs.
• Prior research experience in using sensing equipment such as Force Plates, Delsys, GAITRite, Optical Motion Capture.
• Prior research experience in the applications of wearables in health, such as gait analysis, human movement analysis.