Systems Engineer

2 weeks ago


Stanford, United States Stanford University Full time
Job Title: Systems Engineer

Stanford University is seeking a talented Systems Engineer to join our interdisciplinary Neuro-AI project. This project aims to build a foundation model of the brain, leveraging cutting-edge advances in electrophysiology and machine learning.

Job Summary:

We are looking for a skilled engineer with experience in implementing and maintaining experimental setups used to run large-scale neuroscience experiments. The ideal candidate will have several years of practical experience in building and running multi-modal experimental setups, including implementation of state-machines, synchronization of different data modalities, and large-scale electrophysiology techniques.

Key Responsibilities:
  • Work together with a team to develop novel stimulus and behavioral paradigms, as well as large-scale Neuropixels recordings, for experiments in head-fixed behaving animal species.
  • Build and maintain multi-modal experimental setups, including integration of hardware components and software components, such as LabVIEW and OpenEphys.
  • Collaborate with other teams to ensure efficient, large-scale, industry-level quality of experiments.
Requirements:
  • PhD, Master's or Bachelor's degree in Electrical Engineering or a related field.
  • 2-3 years of practical experience in building and running experimental neuro-behavioral and/or neuro-physiological paradigms.
  • Expertise in implementing hardware and software components for such experiments, including concepts of state-machines, real-time high throughput data acquisition and storage, signal processing, visual stimulus presentation, and high resolution eye tracking.
Preferred Qualifications:
  • Proficiency in LabVIEW, Matlab, and Python.
  • Experience with National Instrument hardware.
  • Experience with designing databases in Python/MySQL for big data.
  • Experience with problem-solving and engineering solutions for large-scale experiments in neuroscience.
  • Experience with networking and cloud storage.
What We Offer:
  • Work on a collaborative and uniquely positioned project spanning several disciplines, from neuroscience to artificial intelligence and engineering.
  • Work jointly with a vibrant team of researchers and scientists in a project dedicated to one mission, rooted in academia but inspired by science in industry.
  • Competitive salary and benefits.
  • Strong mentoring in career development.


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