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Postdoctoral Fellow - Imaging Physics - Research

MD Anderson

Houston, TX

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JOB DETAILS
SALARY
$64,000–$76,000 Per Year
SKILLS
Analysis Skills, Biomechanics, Cancer, Computer Science, Deep Learning, Equal Employment Opportunity (EEO), Federal Laws and Regulations, Fluid Mechanics and Dynamics, Genetics, Geometry, Image Processing, Legal, Machine Learning, Mathematical Modeling, Mathematics, Mentoring, Natural Science, Physics, Sales Pipeline, State Laws and Regulations, Statistical Modeling, University/School Policies
LOCATION
Houston, TX
POSTED
30+ days ago
A postdoctoral fellow position is available in the Department of Imaging Physics in the laboratory of Dr. David Fuentes in collaboration with Dr. Jason Stafford.

The postdoctoral fellow will have two main projects focusing on but not be limited to: 1) developing and validating a mathematical framework for image guided cancer therapy to model the distribution and effect of heated nanoparticles on tumors, and 2) the fluid mechanics of drug delivery in tumors. The postdoctoral fellow will be co-supervised by Dr. David Fuentes and Dr. Jason Stafford in the Department of Imaging Physics. The postdoctoral fellow will be expected to actively participate in research, seminars, mentoring of junior lab members, and related academic endeavors. Scope of Work: Computational fluid mechanics for predicting and optimizing drug delivery.

All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

LEARNING OBJECTIVES
This postdoctoral fellow will engage in numerical methods for image guided therapy. The postdoctoral fellow will expand their knowledge and skills in developing finite element methods to predict transport within biological tissue.

The postdoctoral fellow will participate in the following activities:
- develop image processing pipeline to extract geometry for analysis
- develop mathematical models of image guided therapy within perfused tissue
- develop numerical method to predict treatment output
- conference presentations, manuscripts from on numerical methods and results

ELIGIBILITY REQUIREMENTS
Applicants should have earned a PhD in one of the natural sciences, computer sciences, engineering, or related fields or a medical degree. Experience with machine learning and deep learning techniques, statistical modeling, biomechanical modeling, or image registration and analysis is preferred.

POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition

Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

About the Company

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MD Anderson