Thanks for your interest in the Systems Neurosciences Engineer position.
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Key qualifications:
• PhD in Systems Neuroscience or related fields.
• At least 5 years of practical experience in designing and running neuro-behavioral and/or neuro-physiological experimental paradigms.
• Expertise in developing and implementing hardware and software components for such experiments, including stimulation systems (e.g., visual or auditory), eye tracking, electrophysiology, etc.
Preferred qualifications:
• Experience with designing databases in Python/MySQL for big data.
• Experience with engineering solutions for large-scale experiments in neuroscience.
• Experience in leadership and supervision.
What we offer:
• Leadership role in 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.
Application:
Please complete the basic application through Stanford Careers, and we also ask that you send your CV and one page interest statement to: recruiting@enigmaproject.ai
The expected pay range for this position is $132,000 to $165,000 per annum.
Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors.