Postdoc position available in Dr. Yusung Kim's lab. Position is post-doctoral scholar at the GU-GYN physics section of the Radiation Oncology Physics Department at MD Anderson Cancer Center. The candidate will be involved in on-going NIH funded R01 project that is collaborating with Johns Hopkins. The post-doc will be closely collaborating to develop deep-learning based auto-segmentation of tumor target and applicators on MRI for real-time MRI-based Brachytherapy treatment planning. The post-doc will lead its implementation and validation in clinical environment with clinical medical physicists.

LEARNING OBJECTIVES
The post-doc will have an opportunity to participate in and hands-on experience on the on-going, deep-learning based radiation therapy project that funded by NIH. The post-doc will have chances to get mentored and supported by multi deep-learning/machine learning experts in MDACC as well as Johns Hopkins through this close multi-institution project, along with the primary project supervisor. The post-doc will be also provided for the opportunity to participate in writing extramural funding, leading a manuscript as a first author as well as patent / invention-disclosure as a co-inventor when a new intellectual property is created. The candidate will get an opportunity to participate in the medical physics certificate program for whom wants to pursue medical physics residency.

ELIGIBILITY REQUIREMENTS
A successful candidate is recommended to have engineering, physics, or equivalent training background with PhD. The background or training in medical physics is not required. However, the research or coding experience in machine learning or deep-learning project is highly recommended. Reasonably sufficient skillsets of programming would be highly evaluated but not a requirement. Quiet high level of interpersonal skillset and team playing are highly demanded due to the nature of clinical problem-oriented research.