Associate Research Scientist - CMOS/Brain Organoid Project | Columbia University - Military Veterans

The Bioelectronics Systems Lab (http://www.bioee.ee.columbia.edu) at The Fu Foundation School of Engineering & Applied Science of Columbia University in the City of New York invites applications for an Associate Research Scientist. The Associate Research Scientist will conduct research in the Bioelectronics Systems Lab designing and building components for a hybrid CMOS-Organoid computing device. Reporting to the Lab Director, the Associate Research Scientist will be responsible for studying circuit mechanisms that generate and pattern developmental waves, identifying ways of validating the devices, and working with graduate students and postdocs. The Associate Research Scientist should be able to work independently, troubleshoot, and resolve problems involving both equipment and processes in Columbia's cleanroom facilities. The Associate Research Scientist should be able to learn about unfamiliar topics quickly and independently. The Associate Research Scientist should be able to communicate clearly with lab users, other team members, other departments of the university, and vendors as needed. The Associate Research Scientist will also assist with general lab management responsibilities for maintaining a safe and effective working environment within the Bioelectronics Systems Lab in compliance with all University and government requirements and regulations as directed by the university's Environmental, Health, and Safety (EH&S) department. That includes but is not limited to the safe handling of chemicals and gas cylinders, implementing and maintaining safety training, and safe manner of work in the laboratory. A Ph.D. degree in Electrical Engineering, Neuroscience, or a related field is required. A minimum of 5 years of working experience conducting organized research or other related educational experience is required. Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.