Postdoctoral Fellow - Autonomous Surgical Robotics

Postdoctoral Fellow
- Autonomous Surgical Robotics

Postdoctoral Fellow
- Autonomous Surgical Robotics

Johns Hopkins University

Type:
Full-Time

Posted:
Today

Category:
Mechanical Engineering

The IMERSE Lab in the Department of Mechanical Engineering at Johns Hopkins University invites applications for a Postdoctoral Fellow position in autonomous surgical robotics. The successful candidate will lead the research and development of novel surgical tools and robotic systems for autonomous surgical interventions.

The fellow will focus on the design and development of mechanically intelligent surgical tools that simplify surgical motions and incorporate image sensing. These tools will be integrated with robotic platforms and machine learning algorithms to enable autonomous execution of surgical interventions.

The research program will include a systematic investigation comparing this autonomous surgical paradigm against expert surgeons performing equivalent tasks using the current standard of care. The expected output includes peer-reviewed publications on the strategy of blended mechanical and artificial intelligence for autonomous robotic surgery.

In addition to research activities, the fellow will mentor PhD and Master'sstudents in the IMERSE Lab on topics related to autonomous robotics and mechanically intelligent tool design, including strategies for ex vivo and invivo study design.

Qualifications

Ph.D. in Mechanical Engineering or a closely related field.

Experience in surgical robotics, robotic systems design, or medical device development.

Background in machine learning and/or computer vision as applied to robotics.

Strong publication record and demonstrated research independence.

The referenced salary range is based on Johns Hopkins University's good faith belief at the time of posting. The actual compensation offered to the selected candidate may vary and will be based on factors including, but not limited to,the experience and qualifications of the selected candidate - e.g., years inrank, training, field, discipline, other work experience, and other similar factors; geographic location; internal equity;

external market conditions; andother factors as reasonably determined by the University.

Salary Range

The referenced salary range represents the minimum and maximum salaries forthis position and is based on Johns Hopkins University's good faith belief atthe time of posting. Not all candidates will be eligible for the upper end ofthe salary range. The actual compensation offered to the selected candidate mayvary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

Total Rewards

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Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity,national origin, age, disability, religion, sexual orientation, gender identityor expression, veteran status or other legally protected characteristics. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factorsor demographic characteristics that are irrelevant to the program involved.

Pre-Employment Information

After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate's conviction historyis job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of thejob being sought.

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