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Chichilnisky Lab: academic year and summer opportunities

EJ Chichilnisky
Funding Sponsor: 
Dr. EJ Chichilnisky
Contact Email: 
madrose@stanford.edu
Funding Deadline: 
September 30, 2022 - 11:59 pm

Research topics: Our work in the Artificial Retina Project is to develop an electronic implant that restores vision in patients of incurable blindness through the precise and specific stimulation of retinal neurons.

Techniques: We use computational methods in combination with experiments using multielectrode arrays to stimulate and record neurons rat and monkey retinal tissue (with and without visual stimulus).

Website: https://med.stanford.edu/artificial-retina.html

Seeking undergrads for: Academic year, Summer

Location: On-campus research projects only

Required skills: Programming experience, Strong work ethic, willingness to learn, and ability to operate in a team setting - Programming experience required, preferably python.

This lab is particularly interested in mentoring: Undergrads from backgrounds that are underrepresented in STEM

How to apply: Contact Madeline Hays (madrose@stanford.edu)

Project information: Calling all BCI-interested coders!

The Chichilnisky Lab is seeking undergraduate researchers to join as members of a software development team for the academic year, summer, and beyond.

With the Artificial Retina Project, the Chichilnisky Lab works to develop an electronic implant that restores vision in patients of incurable blindness through the precise and specific stimulation of retinal neurons. As part of the development process, the electronic implant is tested and verified using benchtop methods and excised pieces of retina. This testing provides the necessary means of verifying accurate recording and stimulation and piloting new stimulation strategies before use in live animals and future patients. As part of the software development team, you will be fundamental in creating the system that allows quick understanding of incoming data and enables critical analysis of essential procedures such as cell type classification and stimulation calibration. 

Software development projects include: Visualizing neural data in new ways, leveraging compression for data transfer while maintaining action potential fidelity, creating interactive graphic-user interfaces to be used in real-time live experiments for years to come, etc.

Requirements: Coding experience, python preferred. Excitement and willingness to learn. Ability to work 10-20 hours per week each quarter. (Possibility for full-time work with funding in the summer.)