Job description
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Job Summary
The Mobile Network and System (MNS) Lab seeks a temporary researcher to assist in the analysis and improvement of brain activities and other physiological signals through a set of dedicated customized devices.
Who We Are
Founded in 1970, the Department of Computer Science at CU Boulder is passionate about real-world, interdisciplinary experiences for our students. Our researchers are making advances in computer science today that will change the world tomorrow. Via the Partnership Program, the department is now helping CU to support higher education across the state of Colorado.
What Your Key Responsibilities Will Be
The key responsibilities involve utilizing machine learning techniques to enhance brain function by investigating and enhancing focus and creativity by analyzing brain signals. Additionally, it includes the development of a comprehensive device and system for monitoring food glucose levels. The role also entails preparing and adhering to Institutional Review Board (IRB) protocols in order to conduct experiments involving human subjects. Finally, the responsibilities encompass conducting thorough clinical evaluations for the proposed systems.
What We Can Offer
The hire rate for this appointment will be $30.00 per hour.
Benefits
Be Statements
What We Require
Applicants should have completed a Master's degree or higher in Computer Science, Electrical Engineering, or a related field by the start of the position.
What You Will Need
We are seeking candidates who possess a robust foundation in Cognitive Neural Science, along with knowledge of hardware and electrode design. Additionally, proficiency in Machine Learning, as well as expertise in Matlab, Python, C/C++, PyTorch, and TensorFlow, is highly desirable.
What We Would Like You to Have
Experience working with brain wave signals and wearable devices.
Special Instructions
To apply, please submit a current resume/CV. A cover letter may be uploaded as an optional document.
This position will remain open until filled.
Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.
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