MASc Research Position in Biomedical Signal Processing, Neural Networks, and Electronics

The Position

A MASc research position is available in the Department of Electronics at Carleton University, focused on the collection and analysis of electromyographic (EMG) signals. The research will involve collecting both surface EMG (sEMG) and needle EMG data, utilizing neural networks to analyze these signals, and developing approaches to enhance the recorded data. This project is supported by an industry partner and will contribute to advancing the understanding and applications of EMG signal analysis.

The researcher will collect high-quality sEMG and needle EMG signals, develop and apply advanced neural network models to analyze the data, and explore methods to enhance and interpret the signals for practical applications. This is an exciting opportunity to apply and deepen skills in biomedical signal processing, machine learning, and neural networks, working directly on impactful industry-supported research. The researcher will be expected to produce high-quality scholarly publications and contribute to the field of biomedical engineering.

Qualifications

We are seeking a candidate with a strong background in electronics, biomedical engineering, or related fields, specifically with experience or interest in biomedical signal processing and neural networks. The ideal candidate will meet the following requirements:

• We are seeking a candidate with a strong background in electronics, biomedical engineering, or related fields, specifically with experience or interest in biomedical signal processing and neural networks. The ideal candidate will meet the following requirements:
• Background in electronics, biomedical engineering, or a related discipline.
• Experience with biomedical signal processing, particularly in working with EMG signals.
• Experience with neural network frameworks, such as PyTorch or TensorFlow.
• Skills in Python programming.
• Experience with collecting and handling experimental data.
• Ability to conduct independent research, as well as collaborate effectively in a team environment.
• Strong communication and writing skills, with an emphasis on preparing research manuscripts

Summary

• Start Date: Fall 2025
• Location: Carleton University, Ottawa, Ontario, Canada
• Funding: This is a funded MASc position

How to Apply

To ensure full consideration, interested candidates should express their interest by emailing Dr. MacEachern at leonard.maceachern@carleton.ca with a copy of their current resume or CV, as well as a cover letter detailing their research experience and motivations for applying to this position. Applications will be reviewed until the position is filled.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. We appreciate the interest of all applicants; only those selected for further consideration will be contacted.