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Remote Computational Engineering Jobs in Temple, TX

Tamus

Postdoctoral Research Associate

Temple, TX · On-site +1

The position will also develop and implement Python/R scripts to improve computational efficiency ... programming or scripting languages such as Python, R, Fortran, or similar. * Experience with remote ...

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Remote Computational Engineering information

See Temple, TX salary details

$45.1K

$112.9K

$127.7K

How much do remote computational engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for remote computational engineering in Temple, TX is $112,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $122,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Computational Engineer, and why are they important?

To thrive as a Remote Computational Engineer, you need strong analytical and mathematical abilities, proficiency in computational modeling, and a degree in engineering, mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or C++), high-performance computing systems, and relevant simulation software is typically required. Excellent problem-solving, self-motivation, and clear communication skills help you collaborate effectively in a remote environment. These skills ensure that you can develop accurate models, contribute to complex projects, and maintain productivity while working independently.

How does a remote computational engineer typically collaborate with team members on complex projects?

Remote computational engineers often use collaborative software tools, such as version control systems, cloud-based simulation platforms, and video conferencing, to stay connected with their teams. They regularly participate in virtual meetings, share project updates, and review code or modeling results together. Despite working remotely, strong communication skills are essential to coordinate with multidisciplinary teams, address technical challenges, and ensure alignment on project goals and deadlines.

What is remote computational engineering?

Remote computational engineering involves using computer-based simulations and modeling tools to solve engineering problems from a remote location, rather than working onsite. Professionals in this field apply advanced mathematics, physics, and programming to design, analyze, and optimize systems or products. They often collaborate with teams virtually and use software to perform tasks such as finite element analysis (FEA), computational fluid dynamics (CFD), or algorithm development. This role enables flexibility in work location while contributing to innovative engineering projects across various industries.

What is the difference between Remote Computational Engineering vs Remote Data Scientist?

AspectRemote Computational EngineeringRemote Data Scientist
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; programming skillsBachelor's or higher in statistics, computer science, or related fields; programming and statistical skills
Work EnvironmentCollaborative engineering teams, simulation labs, software developmentData analysis teams, research environments, analytics platforms
Industry UsageEngineering firms, tech companies, manufacturing
Common Search IntentComparing roles in engineering and technical development

Remote Computational Engineering and Remote Data Scientist roles share a focus on programming and analytical skills, often requiring similar educational backgrounds. However, computational engineers typically work on simulations, modeling, and engineering solutions, while data scientists focus on analyzing data to derive insights. Both roles are prevalent in tech-driven industries and often involve remote collaboration, but their core functions differ in application and industry focus.

What job categories do people searching Remote Computational Engineering jobs in Temple, TX look for? The top searched job categories for Remote Computational Engineering jobs in Temple, TX are:
What cities near Temple, TX are hiring for Remote Computational Engineering jobs? Cities near Temple, TX with the most Remote Computational Engineering job openings:
Remote Computational Engineering jobs near you
Infographic showing various Remote Computational Engineering job openings in Temple, TX as of May 2026, with employment types broken down into 40% Full Time, and 60% Part Time. Highlights an 8% Physical, 17% Hybrid, and 75% Remote job distribution, with an average salary of $112,892 per year, or $54.3 per hour.

Postdoctoral Research Associate

Texas Agricultural Experiment Station

Temple, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Job Title

Postdoctoral Research Associate

Agency

Texas A&M Agrilife Research

Department

Temple

Proposed Minimum Salary

Commensurate

Job Location

Temple, Texas

Job Type

Staff

Job Description

About Texas A&M AgriLife

Texas A&M AgriLife is comprised of the following Texas A&M University System members:

  • Texas A&M AgriLife Extension Service

  • Texas A&M AgriLife Research

  • College of Agriculture and Life Sciences at Texas A&M University

  • Texas A&M Forest Service

  • Texas A&M Veterinary Medical Diagnostic Laboratory

As the nation's largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

Click here to learn more about how you can be a part of AgriLife and make a difference in the world!

Position Information

The Postdoctoral Research Associate will contribute to the development and application of large-scale modeling frameworks for water resources, sediment load assessment, and land-use management. The position involves supporting hydrologic modeling research, including process-based simulations of hydrology and sediment transport, and contributing to the development of decision-support tools. The position will also develop and implement Python/R scripts to improve computational efficiency, automation, and reliability.

Responsibilities:

  • Contribute to the development and application of large-scale modeling frameworks for water resources, sediment load assessment, and land-use management; prepare and process large datasets for national-scale assessments using SWAT/SWAT+.

  • Support the analysis of sediment and turbidity data, remote sensing datasets (e.g., OpenET), within process-based modeling frameworks

  • Integrate machine learning and AI approaches with process-based models to improve calibration, particularly in ungauged watersheds.

  • Collaborate within a multidisciplinary team, including USDA Forest Service scientists, AgriLife researchers, and other partners; participate in joint research activities and manage assigned tasks effectively.

  • Perform other related duties as required.

Required Qualifications:

  • Ph.D. in Hydrology, Geology, Environmental Science/Engineering, Civil Engineering, or related disciplines with emphasis on surface hydrology, sediment transport and land use management.

  • Demonstrated publication record in hydrological/water quality/sediment transport modeling and analysis.

  • Interdisciplinary teamwork skills with researchers across different disciplines.

  • Flexibility to perform work in a team or individually with supervision.

  • Good communication, interpersonal skills, professionalism, and competency.

  • Ability to multitask and work cooperatively with others.

Preferred Qualifications:

  • Experience with SWAT/SWAT+ models for watershed assessment and land-use management.

  • Proficiency in programming or scripting languages such as Python, R, Fortran, or similar.

  • Experience with remote sensing data analysis and geographic information systems (GIS).

  • Familiarity with machine learning approaches and quantitative data analysis.

  • Strong technical writing and communication skills.

What You Need to Know

Salary: Compensation for this position is commensurate based on the selected candidate's qualifications.

Why Work at Texas A&M AgriLife?

When you choose toworkfor Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.

In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following:

  • Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums

  • 12-15 days of annual paid holidays

  • Up to eight hours of paid sick leaveand at leasteight hours of paid vacation each month

  • Automatic enrollment in theTeacher Retirement System of Texas

  • Employee Wellness Initiative for Texas A&M AgriLife

Applicant Instructions

Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.

Required Documents

CV/ Resume

Cover letter

List of references

Copy of Degree/Transcript showing degree conferred

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

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