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- Tasks: Support daily research operations in the MEG Lab, ensuring accurate data collection and equipment operation.
- Company: Join Simon Fraser University, a leading institution dedicated to innovation and community impact.
- Benefits: Enjoy 4 weeks' vacation, hybrid work options, tuition waivers, and professional development funds.
- Why this job: Be part of groundbreaking research while fostering a culture of excellence and inclusivity.
- Qualifications: Bachelor's degree in a relevant field with two years of experience; proficiency in MEG/EEG systems required.
- Other info: SFU values diversity and encourages applications from all qualified individuals.
The predicted salary is between 28800 - 48000 £ per year.
Simon Fraser University is a leading research university, advancing an inclusive and sustainable future. Our purpose - the essence of SFU - is to create and connect knowledge, learning and community for deeper understanding and meaningful impact. We are committed to fostering excellence, innovation, belonging and community in all that we do.
The Magnetoencephalography (MEG)/Electroencephalography (EEG) Research Engineer plays a vital role in supporting the daily research operations of the MEG Lab at Simon Fraser University's ImageTech Lab, located in Surrey Memorial Hospital. This position is responsible for ensuring accurate data collection through MEG/EEG scans, including participant preparation and precise equipment operation. Collaborating with research teams, the role contributes to maintaining data integrity, optimizing research protocols, and advancing impactful scientific outcomes. By overseeing the maintenance and troubleshooting of advanced imaging systems, the Research Engineer ensures reliable performance and minimal downtime. Additionally, the position adheres to strict safety standards, educates participants on procedures, and helps maintain a secure and efficient research environment.
Qualifications
- Bachelor's degree in Biomedical Engineering, Neuroscience, Clinical Neurophysiology or a relevant field, and two years of experience in a research or clinical setting, or an equivalent combination of education and experience.
- Excellent knowledge of Magnetoencephalography (MEG) and Electroencephalography (EEG) systems and their applications in research and clinical diagnostics.
- Proficiency in Linux or Unix operating systems and working knowledge of Microsoft Office Suite.
- Proficiency in Python and MATLAB.
What We Offer
At SFU, our goal is to ensure our people are valued and supported by promoting a healthy work-life balance, professional growth and development, as well as a safe and respectful workplace. We offer continuing employees who belong in the Administrative & Professional Staff Association (APSA): 4 weeks' vacation (prorated for the first year), hybrid-work program for eligible positions, employer paid defined benefit pension plan, on-campus tuition waiver for employees and their immediate family members, off-campus tuition reimbursements and professional development funds, and more!
Additional Information
Please include your cover letter and resume in one attachment. SFU is an equity employer and strongly encourages applications from all qualified individuals including women, Indigenous Peoples, visible minorities, people of all sexual orientations and gender identities, persons with disabilities, and others who may contribute to the further diversification of the university. We are committed to ensuring that the application and interview process is accessible to all applicants. If you require any assistance or accommodations, please contact.
Magnetoencephalography/Electroencephalography Research Engineer employer: Simon Fraser University
Contact Detail:
Simon Fraser University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Magnetoencephalography/Electroencephalography Research Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in MEG and EEG technologies. Being knowledgeable about recent research findings and innovations can help you stand out during discussions with the hiring team.
✨Tip Number 2
Network with professionals in the field of biomedical engineering and neuroscience. Attend relevant conferences or workshops to connect with potential colleagues and learn more about the work being done at Simon Fraser University.
✨Tip Number 3
Prepare to discuss your hands-on experience with MEG/EEG systems. Be ready to share specific examples of how you've contributed to data collection, troubleshooting, or protocol optimisation in previous roles.
✨Tip Number 4
Showcase your proficiency in Python and MATLAB by discussing any relevant projects or applications you've developed. Highlighting your technical skills will demonstrate your capability to contribute effectively to the research team.
We think you need these skills to ace Magnetoencephalography/Electroencephalography Research Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of the Magnetoencephalography/Electroencephalography Research Engineer position. Familiarise yourself with MEG and EEG systems, as well as the specific research environment at Simon Fraser University.
Tailor Your CV: Customise your CV to highlight relevant experience in biomedical engineering, neuroscience, or clinical neurophysiology. Emphasise any hands-on experience with MEG/EEG systems and your proficiency in Linux, Python, and MATLAB.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your passion for research and commitment to advancing scientific outcomes. Mention how your values align with SFU's mission of fostering innovation and community.
Follow Application Instructions: Ensure you follow the application instructions carefully. Combine your cover letter and resume into one attachment as specified, and double-check for any additional documents that may be required.
How to prepare for a job interview at Simon Fraser University
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in MEG and EEG systems during the interview. Be prepared to discuss specific projects or experiences where you successfully operated these systems, as well as your familiarity with Linux, Python, and MATLAB.
✨Demonstrate Collaborative Spirit
Since the role involves working closely with research teams, emphasise your ability to collaborate effectively. Share examples of past teamwork experiences, focusing on how you contributed to maintaining data integrity and optimising research protocols.
✨Prepare for Safety Protocol Questions
Given the importance of adhering to strict safety standards in a research environment, be ready to discuss your understanding of safety protocols. You might want to prepare scenarios where you ensured participant safety and maintained a secure research setting.
✨Ask Insightful Questions
At the end of the interview, take the opportunity to ask thoughtful questions about the MEG Lab's current projects or future research directions. This shows your genuine interest in the role and helps you assess if the position aligns with your career goals.
