The Unberath Lab is seeking to immediately fill postdoctoral positions You will join a multidisciplinary team, contributing to our mission of building the future of AI-assisted medicine.
Project 1: Innovative methods for radiology AI self-monitoring and auto-correction, including the development and evaluation of human-AI interaction paradigms.
Project 2: Novel methods for vision-based surgical autonomy using various robot form factors including surgical robots and humanoids.
We will always consider applications from strong candidates in other areas related to our research mission that would complement our team.
Our research is based in the Malone Center for Engineering in Healthcare, the Laboratory for Computational Sensing and Robotics, and the newly established Data Science and AI Institute. You will be advised primarily by Mathias Unberath in the Department of Computer Science and will interact regularly with other leading experts in engineering and medicine at Johns Hopkins and beyond.
We are committed to identifying candidates who will contribute to the excellence of the academic community. More information on inclusion in the department is available at here. We are also committed to providing a highly supportive and dynamic environment for junior investigators to grow and develop their future career.
Qualifications: Depending on the project, you should have experience (evidenced by peer-reviewed publications) in one or more of the following fields:
- Project 1: Medical image analysis, generative models, data and model auditing, explainable AI, and human-AI interaction.
- Project 2: Surgical computer vision, vision-based surgical robotics, multimodal data fusion, camera tracking, and 3D reconstruction
We are particularly looking for creativity, enthusiasm, good communication skills, and interest in growth opportunities as part of a multidisciplinary team. Your PhD degree must be completed before beginning this position.
Review of applications will begin immediately and will continue until the positions are filled.
PhD in Computer Science, Data Science, Biomedical or a related field.