Postdoctoral Fellow - AI-assisted Medicine

Johns Hopkins University

Baltimore (MD)

On-site

USD 63,000 - 77,000

Full time

8 days ago

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Job summary

Johns Hopkins University invites applications for a postdoctoral position in the Unberath Lab within the Malone Center for Engineering in Healthcare and the Laboratory for Computational Sensing and Robotics. The role focuses on AI-assisted medicine, radiology AI self-monitoring, and vision-based surgical autonomy across robot platforms.

Applicants should have a PhD in Computer Science, Data Science, Biomedical or a related field, with strong publications and collaborative research experience.

Qualifications

  • PhD in Computer Science, Data Science, Biomedical or a related field.
  • Strong publications in relevant areas.
  • Ability to work in a multidisciplinary team.

Responsibilities

  • Work on radiology AI self-monitoring and auto-correction, including human-AI interaction evaluation.
  • Develop vision-based surgical autonomy across robot platforms including surgical robots and humanoids.

Skills

Medical image analysis
Surgical robotics
Generative models
Explainable AI

Education

PhD in CS/DS/biomedical

Job description

Johns Hopkins, founded in 1876, is America's first researchuniversity and home to nine world-class academic divisions workingtogether as one university.

Salary

$63,480 to $77,076

Johns Hopkins University: Whiting School of Engineering: Laboratoryfor Computational Sensing and Robotics

Description

The Unberath Lab is seeking to immediately fill postdoctoralpositions You will join a multidisciplinary team, contributing toour mission of building the future of AI-assisted medicine.

Project 1

Innovative methods for radiology AIself-monitoring and auto-correction, including the development andevaluation of human-AI interaction paradigms.

Project 2

Novel methods for vision-based surgical autonomyusing various robot form factors including surgical robots andhumanoids.

We will always consider applications from strong candidates inother areas related to our research mission that would complementour team.

Our research is based in the Malone Center forEngineering in Healthcare , the Laboratory for Computational Sensing andRobotics , and the newly established Data Science and AIInstitute . You will be advised primarily by Mathias Unberath in the Department of Computer Scienceand will interact regularly with other leading experts inengineering and medicine at Johns Hopkins and beyond.

We are committed to identifying candidates who will contribute tothe diversity and excellence of the academic community. Moreinformation on diversity and inclusion in the department isavailable at here . We are also committed to providing a highlysupportive and dynamic environment for junior investigators to growand develop their future career.

Qualifications

Depending on the project, you should haveexperience (evidenced by peer-reviewed publications) in one or moreof the following fields:

  • Project 1: Medical image analysis, generative models,data and model auditing, explainable AI, and human-AIinteraction.
  • Project 2 : Surgical computer vision, vision-basedsurgical robotics, multimodal data fusion, camera tracking, and 3Dreconstruction

We are particularly looking for creativity, enthusiasm, goodcommunication skills, and interest in growth opportunities as partof a multidisciplinary team. Your PhD degree must be completedbefore beginning this position.

Review of applications will begin immediately and will continueuntil the positions are filled.

Qualifications

PhD in Computer Science, Data Science, Biomedical or a relatedfield.

Application Instructions
Equal Employment Opportunity Statement
Salary Range

The referenced salary range represents the minimum and maximumsalaries for this position and is based on Johns HopkinsUniversity's good faith belief at the time of posting. Not allcandidates will be eligible for the upper end of the salary range.The actual compensation offered to the selected candidate may varyand will ultimately depend on multiple factors, which may includethe successful candidate's geographic location, skills, workexperience, internal equity, market conditions, education/trainingand other factors, as reasonably determined by theUniversity.

Total Rewards

Johns Hopkins offers a total rewards package that supports ouremployees' health, life, career and retirement. More informationcan be found here: https://hr.jhu.edu/benefits-worklife/.

Equal Opportunity Employer

The Johns Hopkins University is committed to equal opportunity forits faculty, staff, and students. To that end, the university doesnot discriminate on the basis of sex, gender, marital status,pregnancy, race, color, ethnicity, national origin, age,disability, religion, sexual orientation, gender identity orexpression, veteran status or other legally protectedcharacteristics. The University is committed to providing qualifiedindividuals access to all academic and employment programs,benefits and activities on the basis of demonstrated ability,performance and merit without regard to personal factors ordreemicographic characteristics that are irrelevant to the programinvolved.

Pre-Employment Information

If you are interested in applying for employment with Johns HopkinsUniversity and require special assistance or accommodation duringany part of the pre-employment process, please contact the HRBusiness Services Office at jhurecruitment@jhu.edu . ForTTY users, call via Maryland Relay or dial 711. For moreinformation about workplace accommodations at Johns HopkinsUniversity for disabilities, medical conditions (including medicalconditions related to pregnancy or childbirth), accessibility, orreligious reasons, please visit accessibility.jhu.edu .

Background Checks

After receiving a conditional offer, the successful candidate(s)for this position will be subject to a pre-employment backgroundcheck including education verification. When deciding whether acandidate’s conviction history is job-disqualifying, the Universityconsiders the nature and gravity of the offense, the time that haspassed since the conviction, and the nature of the job beingsought.

EEO is the Law

https://www.eeoc.gov/employees-job-applicants

Vaccine Requirements

Johns Hopkins University strongly encourages, but no longerrequires, at least one dose of the COVID-19 vaccine. This changedoes not apply to the School of Medicine (SOM). SOM hires must befully vaccinated with an FDA COVID-19 vaccination and provide proofof vaccination status. We still require all faculty, staff, andstudents to receive the seasonalflu vaccine .

Exceptions to the seasonal flu vaccine or COVID-19 vaccine (forSOM) requirement(s) may be provided to individuals with sincerelyheld religious beliefs or medical conditions that preclude themfrom receiving the vaccine. Requests for an exception must besubmitted to the JHU vaccination registry. For additionalinformation, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/.

The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring departmentfor more information.

The pre-employment physical for positions in clinical areas,laboratories, working with research subjects, or involvingcommunity contact requires documentation of immune status againstRubella (German measles), Rubeola (Measles), Mumps, Varicella(chickenpox), Hepatitis B and documentation of having received theTdap (Tetanus, diphtheria, pertussis) vaccination. This may includedocumentation of having two (2) MMR vaccines; two (2) Varicellavaccines; or antibody status to these diseases from laboratorytesting. Blood tests for immunities to these diseases areordinarily included in the pre-employment physical exam except forthose candidates who provide results of blood tests or immunizationdocumentation from their own health care providers. Anyvaccinations required for these diseases will be given at no costin our Occupational Health office.

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