The Material Robotics Lab (https://sites.bu.edu/mrl/) at Boston University is seeking a highly motivated and creative Postdoctoral Researcher to join our interdisciplinary team.

This position focuses on the development of cutting-edge technologies in surgical robotics and soft robotics, with a particular emphasis on interventional bronchoscopy and neurosurgical applications.

To Apply:

Please send the following (assembled as a single PDF file) to Prof. Sheila Russo at russos@bu.edu:

• A cover letter describing your fit and interest in the position
• CV with publication list
• Copies of up to three relevant scientific papers
• Contact information for three references

Required Skills

• The successful candidate will lead hardware development and experimental testing, with a focus on integrating advanced onboard sensing and control strategies.
• Experience with medical imaging, closed-loop control, advanced path planning, and machine learning for robotics is preferable.
• They will contribute to in-vitro, ex-vivo, and in-vivo studies, and play a key role in translating this technology toward clinical applications.
• They are expected to collaborate with clinicians and engineers to test and validate prototypes in both simulated and pre-clinical environments, publish high-impact research, and contribute to grant writing.

_We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor. _

Required Experience

• The successful candidate will lead hardware development and experimental testing, with a focus on integrating advanced onboard sensing and control strategies.
• Experience with medical imaging, closed-loop control, advanced path planning, and machine learning for robotics is preferable.
• They will contribute to in-vitro, ex-vivo, and in-vivo studies, and play a key role in translating this technology toward clinical applications.
• They are expected to collaborate with clinicians and engineers to test and validate prototypes in both simulated and pre-clinical environments, publish high-impact research, and contribute to grant writing.

_We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor. _