Post Doc and PhD Posiitons in BCI and Autonomous Assistive Systems

International Shoulder Group

Post (OR)

On-site

USD 50,000 - 70,000

Full time

14 days+
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Job summary

International Shoulder Group is seeking qualified candidates for Postdoctoral Fellow and PhD student positions focusing on Brain-Computer Interface (BCI) research. These roles involve clinical data collection and collaboration with multidisciplinary teams.

Applicants should have relevant degrees in Engineering or Computer Science, strong communication skills, and a keen interest in biomedical technologies. The positions offer valuable learning and training opportunities within a diverse research environment.

Qualifications

  • Completion of Master of Science in relevant fields for PhD student position.
  • Completion of PhD in Mechanical Engineering, Electrical Engineering, Biomedical Engineering, or Computer Science for Postdoctoral Fellow position.
  • Minimum GPA of 3.3 for PhD student position.

Responsibilities

  • Conduct clinical data collection at the hospital.
  • Establish communication and coordination with research collaborators.
  • Contribute to research and development projects.

Skills

Biomedical instrumentation
Physiological experimentation
Control engineering
Deep learning
Programming skills (Python/C++ and ROS)
Communication skills

Education

PhD in Mechanical Engineering, Electrical Engineering, Biomedical Engineering, or Computer Science
Master of Science in relevant fields for PhD student position

Tools

ROS
Wearable instrumentation design

Job description

Overview

The Imagination Centre at the Glenrose Rehabilitation Hospital hosts the Brain-Computer Interface (BCI) program aiming to change lives and improve participation for people of all ages. The Imagination Centre’s team is made up of families, clinicians, engineers, researchers, and leaders all working towards adding quality to life.

The Positions: Qualified applicants are invited to apply for the Postdoctoral Fellow and PhD student positions to pursue new and creative research ideas in the design and development of Brain-Computer Interface (BCI) and autonomous assistive systems with cooperative controls for safe interaction with persons with mobility/cognitive impairment. Successful candidates will collaborate with both research teams at multiple levels, rehabilitation centres, and industry partners to contribute to this research project. Equity and diversity are integral to the research group, and we encourage applicants from underrepresented groups.

Responsibilities
  • Clinical data collection at hospital
  • Conducting research in the abovementioned fields
  • Establishing and maintaining communication and coordination with colleagues and research collaborators
  • Contributing to other research and development projects in both research groups
  • Writing research grant or scholarship applications, manuscripts for publication, presentations, and reports
Qualifications
  • For PhD student position: Completion of Master of Science (or Engineering) degrees in Mechanical Engineering, Electrical Engineering, Biomedical Engineering, or Computer Science
  • For Postdoctoral Fellow position: Completion of PhD degrees in Mechanical Engineering, Electrical Engineering, Biomedical Engineering, or Computer Science
  • Keen interest and/or experience (coursework, research, and/or industrial) in: biomedical instrumentation and physiological experimentation (e.g., EEG, ECG, EMG), systems identification, control engineering, and deep learning
  • Minimum GPA of 3.3 for PhD student position
  • Strong publication record for Postdoctoral Fellow position
  • Proven ability to work independently
  • Effective written and verbal communication skills; proficiency in English
Preferred Assets
  • Advanced programming skills (Python/C++ and ROS)
  • Experience in wearable instrumentation design, bio-mechatronics, collaborative robotics, adaptive control, and SLAM
  • Mechatronic systems design experience
  • Interest and experience in interdisciplinary and translational research in collaboration with health scientists, healthcare system, and biomedical industry
Learning Opportunities

Training of undergraduate and graduate research assistants is paramount. The successful candidates will work closely with their supervisor to create a learning and development plan and attend professional activities such as research ethics and integrity, and project management. They will receive formal training in: biomedical data collection and signal processing (e.g., EEG and motion); machine learning; human motion biomechanics; working with ROS and camera/LiDAR sensors on an autonomous mobile platform; development and validation of heuristic healthcare solutions; Equity, Diversity, and Inclusion training; entrepreneurship; and safety.

Application Procedure

Interested candidates may send their questions or their CV, together with a cover letter and the names of three references to Dr. Hossein Rouhani (he/him) (bcilab@ualberta.ca), the Director of NCB-Lab.

Deadline: Sept 30, 2023 or until the positions are filled.

For more information on admissions and requirements, professional development, medical benefits, cost of living, and childcare for graduate studies or Postdoctoral fellowships at the University of Alberta, visit: https://www.ualberta.ca/graduate-studies/index.html or https://www.ualberta.ca/research/research-support/post-doctoral-office/index.html.

The University of Alberta is committed to an equitable, diverse, and inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to further diversification of ideas to apply. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority for Postdoctoral fellow positions. If suitable Canadian citizens or permanent residents cannot be found, other individuals will be considered.

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