Postdoctoral Fellow - Radiation Physics
- Employer
- University of Texas MD Anderson Cancer Center
- Location
- Houston, Texas
- Salary
- Competitive
- Closing date
- Aug 9, 2024
View more categoriesView less categories
- Discipline
- Health Sciences
- Organization Type
- Healthcare/Hospital
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Job Details
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.
POSITION INFORMATION
MD Anderson follows the NIH stipend levels as outlined by the "Kirchstein - NRSA". This full-time trainee position will provide a salary between $56,484 to $68,604, dependent upon the years of postgraduate experience.
MD Anderson offers compensated trainees:
- Paid medical benefits (zero premium) starting on first day for trainees who work 30 or more hours per week
- Group Dental, Vision, Life, AD&D and Disability coverage
- Paid Education Vacation and Sick Leave
- Paid institutional holidays, wellness leave, childcare leave and other paid leave programs
- Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans
- Employer paid life, AD&D and an illness-related reduced salary pay program
- Health Savings Account and Dependent Care Reimbursement flexible spending accounts
- Fertility benefits
- State of Texas longevity pay
- Extensive wellness, fitness, employee health programs and employee resource groups
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.
POSITION INFORMATION
MD Anderson follows the NIH stipend levels as outlined by the "Kirchstein - NRSA". This full-time trainee position will provide a salary between $56,484 to $68,604, dependent upon the years of postgraduate experience.
MD Anderson offers compensated trainees:
- Paid medical benefits (zero premium) starting on first day for trainees who work 30 or more hours per week
- Group Dental, Vision, Life, AD&D and Disability coverage
- Paid Education Vacation and Sick Leave
- Paid institutional holidays, wellness leave, childcare leave and other paid leave programs
- Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans
- Employer paid life, AD&D and an illness-related reduced salary pay program
- Health Savings Account and Dependent Care Reimbursement flexible spending accounts
- Fertility benefits
- State of Texas longevity pay
- Extensive wellness, fitness, employee health programs and employee resource groups
Company
The University of Texas MD Anderson Cancer Center in Houston is one of the world's most respected centers focused on cancer patient care, research, education and prevention. It was named the nation's No. 1 hospital for cancer care in U.S. News & World Report's 2023 rankings. It is one of the nation's original three comprehensive cancer centers designated by the National Cancer Institute.
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