Postdoctoral Research Fellow

Academic

Job Category
Faculty Non Bargaining

Job Title
Postdoctoral Research Fellow

Department
McKeown Laboratory Pacific Parkinson’s Research Centre Division of Neurology Department of Medicine Faculty of Medicine (Martin McKeown)

Posting End Date
August 18, 2023

Note: Applications will be accepted until 11:59 PM on the day prior to the Posting End Date above.

Job End Date
Aug 31, 2024

This position is located within a health-care facility, therefore, the successful candidate will be required to provide verification of full vaccination against Covid-19 provided prior to the start date, as required by a provincial health mandate.

At Dr. Martin McKeown’s lab at UBC Centre for Brain Health, we are seeking a highly motivated and skilled individual to join our research team as a 2-year Postdoctoral Researcher. The successful candidate will be responsible for conducting research in the areas of simultaneous EEG-fMRI preprocessing and denoising, event-related desynchronization and behavioral data analysis, and multi-modal signal processing from wearable sensors. The position requires a strong background in signal processing and Machine Learning techniques, ideally related to neurophysiological data.

Key Responsibilities

• Conduct research on simultaneous EEG-fMRI preprocessing and denoising techniques to improve the quality and reliability of acquired data.
• Develop and implement advanced event-related desynchronization processing algorithms to analyze neurophysiological signals and extract relevant features.
• Perform multi-modal signal processing from wearable sensors, integrating data from different modalities to gain a comprehensive understanding of physiological responses.
• Collaborate with interdisciplinary teams to design and conduct experiments, collect data, and analyze results.
• Stay updated with the latest advancements in neurophysiological signal processing, EEG-fMRI techniques, and wearable sensor technology.
• Prepare and present research findings at conferences, workshops, and scientific meetings.
• Contribute to the preparation of research publications and grant proposals.
• Mentor and supervise graduate students and assist in their research activities.
• Participate in the dissemination of research outcomes through workshops, tutorials, and training sessions.

Qualifications

• Ph.D. in Biomedical Engineering, Electrical Engineering, Neuroscience, or a related field.
• Strong background in signal processing, particularly in the context of neurophysiological data.
• Proficiency in simultaneous EEG-fMRI preprocessing and denoising techniques.
• Expertise in event-related desynchronization analysis and the ability to analyze and interpret EEG and behavioral data.
• Experience with multi-modal signal processing, including the integration of wearable sensor data.
• Proficient programming skills in MATLAB, Python, or similar languages commonly used for signal processing.
• Knowledge of statistical analysis techniques and data visualization tools.
• Excellent written and verbal communication skills, with the ability to present research findings effectively.
• Strong analytical and problem-solving abilities.
• Demonstrated ability to work both independently and collaboratively within a research team.
• A track record of scientific publications in relevant conferences and journals is highly desirable.

Application Process

Interested candidates should submit the following documents:

• Resume detailing academic and research experience.
• Cover letter highlighting research interests and relevant experience.
• Contact information of at least two references.