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Computer Science Postdoc Jobs in Texas (NOW HIRING)

Postdoc Fellow - Imaging Physics

Houston, TX

$46.80K - $63.50K/yr

A postdoctoral fellowship position is available in the Department of Imaging Physics in the ... D. in one of the natural sciences, computer sciences, applied mathematics, engineering, or related ...

Postdoc Fellow - Imaging Physics

Houston, TX

$46.80K - $63.50K/yr

A postdoctoral fellowship position is available in the Department of Imaging Physics in the ... D. in one of the natural sciences, computer sciences, applied mathematics, engineering, or related ...

Job Title Postdoctoral Researcher Agency Texas A&M Engineering Department Engineering Technology ... D. in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.

Job Title Postdoctoral Researcher Agency Texas A&M Engineering Department Engineering Technology ... D. in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.

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Computer Science Postdoc information

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$23.3K

$55K

$77.8K

How much do computer science postdoc jobs pay per year?

As of May 31, 2026, the average yearly pay for computer science postdoc in Texas is $54,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,700.00 and $62,000.00 per year, depending on experience, location, and employer.

What is a Computer Science Postdoc job?

A Computer Science Postdoc is a temporary research position for individuals who have recently earned a Ph.D. in computer science or a related field. Postdocs work under the supervision of a principal investigator to conduct advanced research, publish papers, and contribute to projects in academia, industry, or government labs. These positions help researchers gain additional expertise, expand their professional network, and prepare for careers in academia, research institutions, or industry. Typically, postdoc positions last between one and three years and may involve teaching responsibilities.

What are the key skills and qualifications needed to thrive in the Computer Science Postdoc position, and why are they important?

To thrive as a Computer Science Postdoc, you need a Ph.D. in computer science or a related field, strong research skills, and a solid publication record. Experience with programming languages (such as Python, C++, or Java), machine learning frameworks, data analysis tools, and version control systems is highly valued. Exceptional communication, project management, and collaboration abilities help you effectively engage with multidisciplinary teams and present complex findings. These skills ensure successful research contributions, smooth teamwork, and impactful advancement in the academic or industrial research landscape.

What does the typical daily work of a Computer Science Postdoc involve?

As a Computer Science Postdoc, your daily work typically centers around conducting original research, designing experiments, and analyzing data related to your specialized field. You may meet regularly with your principal investigator (PI) and other lab members to discuss progress, troubleshoot problems, and plan new studies. Preparing manuscripts, presenting findings at conferences, and mentoring graduate or undergraduate students are also common responsibilities. Collaboration is often key, as projects may involve working with faculty, industry partners, or interdisciplinary teams, providing opportunities to broaden your research impact and professional network.
What are the most commonly searched types of Computer Science Postdoc jobs in Texas? The most popular types of Computer Science Postdoc jobs in Texas are:
What job categories do people searching Computer Science Postdoc jobs in Texas look for? The top searched job categories for Computer Science Postdoc jobs in Texas are:
Infographic showing various Computer Science Postdoc job openings in Texas as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $54,988 per year, or $26.4 per hour.
Postdoc Fellow - Imaging Physics

Postdoc Fellow - Imaging Physics

MD Anderson

Houston, TX

$46.80K - $63.50K/yr

Full-time

Posted 8 days ago


MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 163 frontline employees who took The Breakroom Quiz

31st of 864 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


FACULTY MENTOR
Dr. Chengyue Wu


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