Research Assistant Positions: Mice, Robots, and Deep Learning (Mathis)

Research Assistant Positions: Mice, Robots, and Deep Learning (Mathis)
Dr. Mackenzie Mathis, Adaptive Motor Control Lab, Rowland Institute
Fall 2018


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We are a research team that combines cutting edge technological and deep learning approaches to understand how the brain creates adaptive behaviors. We use mice as a model system and teach them to use a robotic joystick, then we record their brain activity using two-photon microscopy. We also build deep learning tools for data analysis and for tracking their behaviors. For examples of recent work, see our lab website: http://www.mousemotorlab.org/. We are interested in recruiting two undergraduate researchers, one to work on deep learning approaches to quantifying behavior (see coverage of our recent work in The Atlantic: https://goo.gl/44fkks and on NVIDIA's developer site: https://goo.gl/a99rNn), and another to work with us on training mice to perform joystick-based tasks. Requirements and Expectations: Skills required: Python programming experience for the deep learning position (and desired but not required for the animal experiments). Hours: Students are expected to work 10 hours per week. Project Length: minimum of 6 months. Additional Information: Our lab is located at the Rowland Institute, very close to the red line T-stop (reduced T-passes can be obtained). Learning outcomes: machine learning, computer programming, data analysis methods, animal behavior, and presentation skills. Mentoring: You will be mentored by Dr. Mackenzie Mathis, and by postdocs in the lab. Student Stipend: This is a volunteer or for credit position. We would also be happy to help you apply for relevant fellowships, particularly for research during the summer. To Apply: send a copy of your CV by email to Dr. Mackenzie Mathis at mathis@rowland.harvard.edu. (posted 9/2018)