Experience with additive manufacturing, materials characterization, and/or physics-informed machine learning * Proficiency in Python programming is preferred Salary Commensurate with experience.
Experience with additive manufacturing, materials characterization, and/or physics-informed machine learning * Proficiency in Python programming is preferred Salary Commensurate with experience.
Computational Scientist
Spring, TX · On-site
Experience in surrogate modeling approaches (e.g., deep learning, machine learning, physics-informed machine learning, reduced-order modeling, multi-fidelity methods, etc.) to reduce computational ...
Computational Scientist
Spring, TX · On-site
Experience in surrogate modeling approaches (e.g., deep learning, machine learning, physics-informed machine learning, reduced-order modeling, multi-fidelity methods, etc.) to reduce computational ...
Experience in surrogate modeling approaches (e.g., deep learning, machine learning, physics-informed machine learning, reduced-order modeling, multi-fidelity methods, etc.) to reduce computational ...
Experience in surrogate modeling approaches (e.g., deep learning, machine learning, physics-informed machine learning, reduced-order modeling, multi-fidelity methods, etc.) to reduce computational ...
Computational Scientist
Spring, TX · On-site
Experience in surrogate modeling approaches (e.g., deep learning, machine learning, physics-informed machine learning, reduced-order modeling, multi-fidelity methods, etc.) to reduce computational ...
Computational Scientist
Spring, TX · On-site
Experience in surrogate modeling approaches (e.g., deep learning, machine learning, physics-informed machine learning, reduced-order modeling, multi-fidelity methods, etc.) to reduce computational ...
Machine Learning Engineer
Houston, TX · On-site
They are seeking a Machine Learning Engineer to develop and improve machine learning systems for ... the physics diverges. • Write clean, well-tested code and contribute to the services that put ...
Machine Learning Engineer
Houston, TX · On-site
They are seeking a Machine Learning Engineer to develop and improve machine learning systems for ... the physics diverges. • Write clean, well-tested code and contribute to the services that put ...
Machine Learning Engineer
Houston, TX · On-site
As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ... When you ship here, you can literally watch the physics change. Under the hood, that means training ...
Machine Learning Engineer
Houston, TX · On-site
As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ... When you ship here, you can literally watch the physics change. Under the hood, that means training ...
Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... Physics, ect.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional ...
Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... Physics, ect.ALTERNATE EXPERIENCEGeneral comment on degrees: Most contracts allow additional ...
Machine Learning Engineer
Austin, TX · On-site +1
About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, or ...
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Machine Learning Engineer
Austin, TX · On-site +1
About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, or ...
Machine Learning Engineer We are seeking a Machine Learning Engineer to design and develop robust ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...
Machine Learning Engineer We are seeking a Machine Learning Engineer to design and develop robust ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...
AI Machine Learning Engineer
Houston, TX · On-site
Bachelor's degree in computer science, mathematics, physics, engineering or related field required ... machine learning methods and algorithms * Strong Python or R programming skills required
AI Machine Learning Engineer
Houston, TX · On-site
Bachelor's degree in computer science, mathematics, physics, engineering or related field required ... machine learning methods and algorithms * Strong Python or R programming skills required
AI Machine Learning Engineer
Houston, TX · On-site
Bachelor's degree in computer science, mathematics, physics, engineering or related field required ... machine learning methods and algorithms * Strong Python or R programming skills required
AI Machine Learning Engineer
Houston, TX · On-site
Bachelor's degree in computer science, mathematics, physics, engineering or related field required ... machine learning methods and algorithms * Strong Python or R programming skills required
By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Familiarity with physics-informed ML, geological/reservoir modeling, and/or production forecasting ...
By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Familiarity with physics-informed ML, geological/reservoir modeling, and/or production forecasting ...
Senior Applied AI/ML Scientist
Houston, TX · On-site +1
By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Familiarity with physics-informed ML, geological/reservoir modeling, and/or production forecasting ...
Senior Applied AI/ML Scientist
Houston, TX · On-site +1
By combining physics and chemistry expertise with advanced machine learning, our platform improves ... Familiarity with physics-informed ML, geological/reservoir modeling, and/or production forecasting ...
Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless Minimum Qualifications * MS in Machine Learning ...
Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless Minimum Qualifications * MS in Machine Learning ...
Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless Minimum Qualifications * MS in Machine Learning ...
Create processes that make gathering and processing large batches of geometry, physics, and design workflow data more automated and frictionless Minimum Qualifications * MS in Machine Learning ...
Machine Learning Engineer
San Antonio, TX · On-site
Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ...
Machine Learning Engineer
San Antonio, TX · On-site
Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ...
Machine Learning Engineer - NJ
Addison, TX · On-site
$54 - $71.50/hr
We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...
Machine Learning Engineer - NJ
Addison, TX · On-site
$54 - $71.50/hr
We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...
Machine Learning Engineer - NJ
$54 - $71.50/hr
We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...
Machine Learning Engineer - NJ
$54 - $71.50/hr
We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...
What you will do Lead the design, development, and deployment of advanced AI/ML solutions for upstream oil & gas subsurface & well operations such as physics-informed Machine Learning (ML) and ...
What you will do Lead the design, development, and deployment of advanced AI/ML solutions for upstream oil & gas subsurface & well operations such as physics-informed Machine Learning (ML) and ...
Master's or PhD in Computer Science, Machine Learning, Operations Research, Control Theory ... Experience with physics-informed or hybrid mechanistic/ML modeling and domain-informed reward or ...
Master's or PhD in Computer Science, Machine Learning, Operations Research, Control Theory ... Experience with physics-informed or hybrid mechanistic/ML modeling and domain-informed reward or ...
Physics Informed Machine Learning information
What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?
To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.
What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?
Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.
What is a Physics Informed Machine Learning job?
A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.
What are popular job titles related to Physics Informed Machine Learning jobs in Texas? For Physics Informed Machine Learning jobs in Texas, the most frequently searched job titles are:
- Machine Learning Architect
- Remote Machine Learning Engineer
- Internship Applied Scientist Machine Learning
- Remote Java Machine Learning
- Freelance Edge Ai Machine Learning
- Freelance Machine Learning Data Annotation
- Machine Learning Engineer
- Senior Applied Scientist Machine Learning
- Internship Edge Ai Machine Learning
- Machine Learning Developer
What job categories do people searching Physics Informed Machine Learning jobs in Texas look for? The top searched job categories for Physics Informed Machine Learning jobs in Texas are:
What cities in Texas are hiring for Physics Informed Machine Learning jobs? Cities in Texas with the most Physics Informed Machine Learning job openings:
Research Assistant in Materials Science and Additive Manufacturing
The University of Texas Rio Grande ValleyEdinburg, TX • On-site
Full-time
Posted 23 days ago
University Of Texas Rio Grande Valley rating
7.5
Based on 17 frontline employees who took The Breakroom Quiz
263rd of 537 rated colleges and universities
Job description
Posting Details
Title Information
Assistantship Title
Graduate Research Assistant
Job Class Code
10095
FLSA
Exempt
Minimum Qualifications
Position Information
Posting Number
A1346
Working Title
Research Assistant in Materials Science and Additive Manufacturing
Location
Edinburg, Texas
College
College of Engineering and Computer Science
Department
College of Engineering and Computer Science / Manufacturing and Industrial Engineering
Division
Provost - Academic Affairs
FTE
.5
Scope of Job
Maximum appointment is limited to twenty (20) hours per week (50% FTE) during the Fall and Spring semesters. Maximum appointment may be increased up to forty (40) hours per week (100% FTE) during the summer if funded by a grant.
Dr. Ahsan's Lab in the Department of Manufacturing and Industrial Engineering at UTRGV will be immediately recruiting a motivated graduate (master's/PhD) student to start as early as Summer 2026. The selected candidate will work on a funded research project focused on developing novel alloys for energy applications in harsh environments using additive manufacturing. This research involves integrating computational modeling, machine learning, and experimental investigations to design and characterize new alloys and composites fabricated via laser powder bed fusion additive manufacturing. This work is closely woven into materials science, additive manufacturing, and machine learning realm, with applications in energy and extreme environments. The candidate will receive a monthly stipend and tuition support.
Discipline Specific Required Qualifications
The Research Assistant assistantship award is available to master's and doctoral students who are assigned to a specific faculty member who is conducting research or a scholarly endeavor. Duties will vary depending on the project and assigned research/scholarly functions, or other creative aspects.
Preferred Qualifications
Salary
Commensurate with experience.
Number of Vacancies
Multiple
Desired Start Date
06/01/2026
Posting Detail Information
EEO Statement
It is the policy of The University of Texas Rio Grande Valley to promote and ensure equal employment opportunities for all individuals without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information or protected veteran status. In accordance with the requirements of Title VII of the Civil Rights Act of 1964, the Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, as amended, our University is committed to comply with all government requirements and ensures non-discrimination in its education programs and activities, including employment. We encourage women, minorities and differently abled persons to apply for employment positions of interest.
Open Date
01/27/2026
Special Instructions to Applicants
If you are interested, please send the following ASAP to Dr. AMM Nazmul Ahsan at ammnazmul.ahsan@utrgv.edu :
This position is expected to be filled immediately.
All applications must be submitted via the UTRGV application portal at https://careers.utrgv.edu.
If you are applying for the first time, please complete all biographical information including address, email and phone. You may update this at any time by selecting to edit your profile in the application.
A Criminal Background Check must be conducted for all applicants.
Quick Link
https://careers.utrgv.edu/postings/50078
Title Information
Assistantship Title
Graduate Research Assistant
Job Class Code
10095
FLSA
Exempt
Minimum Qualifications
- Must be admitted to a graduate degree program
- Be in good academic standing
- Be registered full-time for the respective semester (nine semester credit hours during the fall semester, nine semester credit hours during spring semester, three semester credit hours during the summer session(s)), or in the required number of semester credit hours to fulfill the only remaining requirements on the degree plan.
Position Information
Posting Number
A1346
Working Title
Research Assistant in Materials Science and Additive Manufacturing
Location
Edinburg, Texas
College
College of Engineering and Computer Science
Department
College of Engineering and Computer Science / Manufacturing and Industrial Engineering
Division
Provost - Academic Affairs
FTE
.5
Scope of Job
Maximum appointment is limited to twenty (20) hours per week (50% FTE) during the Fall and Spring semesters. Maximum appointment may be increased up to forty (40) hours per week (100% FTE) during the summer if funded by a grant.
Dr. Ahsan's Lab in the Department of Manufacturing and Industrial Engineering at UTRGV will be immediately recruiting a motivated graduate (master's/PhD) student to start as early as Summer 2026. The selected candidate will work on a funded research project focused on developing novel alloys for energy applications in harsh environments using additive manufacturing. This research involves integrating computational modeling, machine learning, and experimental investigations to design and characterize new alloys and composites fabricated via laser powder bed fusion additive manufacturing. This work is closely woven into materials science, additive manufacturing, and machine learning realm, with applications in energy and extreme environments. The candidate will receive a monthly stipend and tuition support.
Discipline Specific Required Qualifications
The Research Assistant assistantship award is available to master's and doctoral students who are assigned to a specific faculty member who is conducting research or a scholarly endeavor. Duties will vary depending on the project and assigned research/scholarly functions, or other creative aspects.
Preferred Qualifications
- Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or Materials Science and Engineering
- Master's degree in Mechanical Engineering or Materials Science and Engineering (required for Ph.D. applicants)
- Experience with additive manufacturing, materials characterization, and/or physics-informed machine learning
- Proficiency in Python programming is preferred
Salary
Commensurate with experience.
Number of Vacancies
Multiple
Desired Start Date
06/01/2026
Posting Detail Information
EEO Statement
It is the policy of The University of Texas Rio Grande Valley to promote and ensure equal employment opportunities for all individuals without regard to race, color, national origin, sex, age, religion, disability, sexual orientation, gender identity or expression, genetic information or protected veteran status. In accordance with the requirements of Title VII of the Civil Rights Act of 1964, the Title IX of the Education Amendments of 1972, Section 504 of the Rehabilitation Act of 1973, and the Americans with Disabilities Act of 1990, as amended, our University is committed to comply with all government requirements and ensures non-discrimination in its education programs and activities, including employment. We encourage women, minorities and differently abled persons to apply for employment positions of interest.
Open Date
01/27/2026
Special Instructions to Applicants
If you are interested, please send the following ASAP to Dr. AMM Nazmul Ahsan at ammnazmul.ahsan@utrgv.edu :
- Current CV,
- How you meet the qualifications in 2/3 sentences or bullet points, and
- Unofficial graduate+undergraduate transcripts.
This position is expected to be filled immediately.
All applications must be submitted via the UTRGV application portal at https://careers.utrgv.edu.
If you are applying for the first time, please complete all biographical information including address, email and phone. You may update this at any time by selecting to edit your profile in the application.
A Criminal Background Check must be conducted for all applicants.
Quick Link
https://careers.utrgv.edu/postings/50078
What University Of Texas Rio Grande Valley employees say
Pay
Hours and flexibility
Workplace
Get the full story on Breakroom
About University of Texas Rio Grande Valley
Sourced by ZipRecruiter
Industry
Education
Company size
1,001 - 5,000 Employees
Headquarters location
Edinburg, TX, US
Year founded
2014