A talented scientist to lead the development of next generation koniku kores. This leadership role is guided by the question: “How do we realistically shift more work to existing neural circuits, ready to ship in a few weeks?”. You will develop creative, small neural circuits in silico which can be realistically verified by our proprietary wetware platform — koniku kore. You will also develop safe stimulation, encoding and decoding protocols for neurons in vitro.

The ideal candidate is a sharply pragmatic individual, grounded in experimental data with a strong publication record. We are seeking an energetic and articulate person with a bold vision. You will expected to contribute to building a community around your tools, build and maintain collaborations with Academia.

A PhD in computational neuroscience or neuroinformatics with a highly regarded research group or PI and a strong publication record is mandatory.

Experience & Additional Qualifications

• • Deep and demonstrable experience with the neuron simulation environment or similar.
  • Previous hands on experimental work in vivo and/or in vitro neurophysiology is a solid asset.
  • Excellent programming skills in Python, Matlab, Statistical Analysis & Related Packages and other open tools in neuro simulations.

Detailed Job Description

• • Propose new circuits to engineering team.
  • Developing coding mechanisms from sensors to the kore.
  • Design stimulation sequences for neural circuits or neural populations in the kore.
  • Develop tools for the user community. Guide talented neurogrammers within our outreach program and keep links with academia vibrant.
  • Advice or hire talent to expand on the team as required.

Additional Requirements

• • To conform to ITAR regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
  • Equal Opportunity Employer; We hire for individual competence, retain on results, advance for excellence – no exceptions.

Tagged as: Computational Neuroscience