The Biosensing and Biorobotics Laboratory at the University of Minnesota is seeking post-doctoral researchers to join our research team. Positions are funded by grants from the National Institutes of Health (NIH) and private foundations.
Candidates should possess a Ph.D. in a related field including but not limited to Biomedical Engineering, Mechanical Engineering, Neurobiology, Neuroscience, Electrical Engineering, Computer Science, Mechanical Engineering, Chemical Engineering, Physics, Optics, Material Science, and Mathematics. Experience developing optical systems is preferred. Experience with micro/nano fabrication, in vivo electrophysiology/imaging, rodent cranial surgery and advanced biological imaging (two-photon and confocal microscopy) are desired. Successful candidate will work on developing multi-scale neuro-imaging platforms. He/she will be working with a highly interdisciplinary team of neural engineers, neuroscientists, physicists, biologists, and material scientists.
Successful candidates will be expected to perform high level experimental, theoretical, and numerical research on developing multi-scale neuro-imaging platforms. They will be working with a highly interdisciplinary team of neural engineers, neuroscientists, physicists, biologists, and material scientists within the University of Minnesota and partner universities. They are expected to author, co-author, and otherwise collaborate on reports, proposals, conference papers, and high-impact peer reviewed journals. They will be expected to participate in preparation and presentation of data to study investigators. They will support the faculty supervisor in mentoring graduate students and lab technician research team members. This will include advice on technical questions, data analysis, and discussions on development of research plans. They will also be responsible for organization and management of laboratories under faculty mentors' supervision.
Interested candidates should submit curriculum vitae, the names of three references, a statement of research experience, and date of availability to Prof. Suhasa Kodandaramaiah (firstname.lastname@example.org).
Ph.D. in Mechanical Engineering or a closely related field (e.g. Biomedical Engineering, Neuroscience, Electrical Engineering, Chemical Engineering, Computer Science, Material Science, Mathematics, Physics)
• developing optical systems
• micro/nano fabrication
• in vivo electrophysiology/imaging
• rodent cranial surgery
• advanced biological imaging