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Computational Modeling Simulation Phd Jobs in Texas

MD Anderson

Postdoc Fellow - Imaging Physics

Houston, TX · On-site

$46K - $63K/yr

... PhD. Dr. Chengyue Wu's research interests focus on computational precision oncology, especially ... Image-guided computational modeling ("digital twins") to predict and optimize cancer (especially ...

Airswift

Lead Thermal Fluid Hydraulics Engineer

Houston, TX · On-site

$97K - $128K/yr

... Modeling & Simulation - Build, maintain, and review analytical, system-level, CFD, and multiphysics ... computational models as appropriate to project needs. • Evaluate fluid flow, heat transfer ...

10059

Director Simulation Center Ops

Dallas, TX · On-site

... training and bench model skills labs, and an engineering and innovations lab. BENEFITS UT ... Education Master's Degree MBA in a clinical, educational or scientific area of study or PhD in a ...

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Computational Modeling Simulation Phd information

What is the difference between Computational Modeling Simulation Phd vs Computational Scientist?

AspectComputational Modeling Simulation PhdComputational Scientist
Required CredentialsPhD in computational sciences, engineering, or related fieldMaster's or PhD in computational or related fields
Work EnvironmentResearch labs, academia, industry R&DResearch institutions, tech companies, industry R&D
Industry UsageDeveloping models, simulations, and algorithms for complex systemsApplying computational methods to solve scientific or engineering problems

Both roles involve advanced computational skills and research experience, but the Computational Modeling Simulation Phd typically focuses on developing and validating models through extensive research, while a Computational Scientist applies these methods to practical problems across various industries.

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Infographic showing various Computational Modeling Simulation Phd job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Postdoc Fellow - Imaging Physics

MD Anderson

Houston, TX • On-site

$46K - $63K/yr

Full-time

Re-posted 12 days ago

MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 172 frontline employees who took The Breakroom Quiz

14th of 898 rated healthcare providers

Job description

A postdoctoral fellowship position is available in the Department of Imaging Physics in the laboratory of Chengyue Wu, PhD. Dr. Chengyue Wu's research interests focus on computational precision oncology, especially integrating computational/mathematical approaches with emerging biomedical imaging techniques to improve the diagnosis, prognosis, and treatment of human cancers. Dr. Wu has extensive experience on developing and validating image processing methods and image-guided models for investigating tumor growth and treatment response, tumor-associated vasculature and microenvironment, and drug delivery. The lab is in a highly collaborative research environment with access to world-class resources, expertise, and data. Current projects seeking postdoctoral fellows include:
Image-guided computational modeling ("digital twins") to predict and optimize cancer (especially breast cancer) treatment response on a patient-specific basis.
Development of deep learning models, longitudinal image analysis, and multi-modality data integration to improve breast cancer early detection.
LEARNING OBJECTIVES
This postdoctoral fellow will engage in highly productive interdisciplinary research projects in image-guided precision oncology and personalized cancer healthcare. The fellow will expand their knowledge and skills in quantitative imaging, image analysis, artificial intelligence (AI)/deep learning technologies, mathematical biomechanical modeling, inverse problems, and uncertainty quantification. The fellow will have opportunities to contribute to ongoing research projects and will be encouraged to explore and develop new areas of research interest with guidance from the mentor. The fellow will be expected to work closely with research/clinical collaborators, communicate findings via reports, abstracts, presentations, and publications, and actively participate in seminars, conferences, and related academic endeavors.
ELIGIBILITY REQUIREMENTS
Applicants should have earned a Ph.D. in one of the natural sciences, computer sciences, applied mathematics, engineering, or related fields or a medical degree. Experience with machine learning and deep learning techniques, mathematical modeling, or medical image analysis is preferred. Applicants do not need to be US citizens or permanent residents. This appointment is not part of a clinical training program; individuals holding an M.D. degree or equivalent are not permitted to engage in patient care activity.
ADDITIONAL APPLICATION INFORMATION
The trainee will be appointed for one year from the date of hire with an option to be renewed for up to three years.
POSITION INFORMATION
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


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Dr. Chengyue Wu

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