Postdoctoral Scholar – Biomedical Signal Analysis and Assisted Diagnosis
Location: University of À¶Ý®ÊÓƵ, À¶Ý®ÊÓƵ, Ontario, Canada
Department: Department of Chemistry
Duration: 1-year term (renewable based on performance and funding)
Start Date: Immediately or no later than September 1, 2025
Position Summary:
We invite applications for a Postdoctoral Scholar position in the exciting interdisciplinary field of biomedical signal processing and assisted diagnosis. The successful candidate will lead and contribute to research at the intersection of biosensing, medical imaging, and AI-driven diagnostics. This position offers a unique opportunity to work with a collaborative team on translating complex bioanalytical data into meaningful clinical insights and delivering innovative healthcare solutions.
Key Responsibilities:
- Analyze and interpret biosensing signals, including electrochemical sensing data (CV, EIS), physiological waveforms (e.g., ECG, EEG), and imaging data (e.g., MRI, CT, ultrasound).
- Develop and apply algorithms for assisted diagnosis, incorporating machine learning and data-driven approaches.
- Preprocess, extract, and classify features from multi-modal datasets to support diagnostic applications.
- Collaborate with clinicians and experimental researchers to validate methods and assess clinical relevance.
- Publish findings in peer-reviewed journals and present at leading scientific conferences.
- Support grant writing and mentor graduate students as needed.
Required Qualifications:
- Ph.D. awarded after September 1, 2022, in Computer Science, Electrical and Computer Engineering, Biomedical Engineering, Health Informatics, Statistics, Applied Math, or a related discipline.
- Experience working with clinical datasets or in translational research environments with knowledge of clinical data storage and management, and standards for structured health information.
- strong background and demonstrated experience in machine learning and AI tools.
- Demonstrated experience in assisted or automated diagnostic systems using machine learning or AI tools.
- Proficiency in processing and interpreting sensing data, medical images and physiological signals (e.g., ECG, EEG).
- Skilled in programming (Python, MATLAB, R, or similar) and data visualization.
- Strong communication skills and ability to work in a multidisciplinary environment.
Preferred Qualifications:
- Strong publication record in high-impact biomedical or engineering journals.
- Knowledge of data security frameworks and experience with cloud deployment in healthcare environments.
- Familiarity with regulatory, privacy, and ethical considerations in healthcare data analysis.
To Apply:
Please submit the following documents to tangxw@uwaterloo.ca:
- Curriculum Vitae
- Cover Letter detailing your research interests and relevant experience
- Contact information for 2–3 academic or professional references
Applications will be reviewed on a rolling basis until the position is filled.
We encourage candidates from diverse backgrounds to apply.