Research Technician (Part-Time)
CHEManager International, San Angelo, TX, United States
Job Summary
The Material Assessment and Qualification (MatAQ) research group in the David L. Hirschfeld Department of Engineering at Angelo State University (ASU) is led by Dr. Mohammad Shafinul Haque, Associate Professor of Mechanical Engineering. The group is seeking Research Technicians for part‑time positions supported by a Department of Energy (DOE) funded collaboration with Fermi National Accelerator Laboratory (Fermilab). Selected candidates will contribute to experimental testing, data analysis, and machine learning (ML) modeling related to the mechanical behavior of ion‑irradiated High Entropy Alloys (HEAs). The work integrates experimental results with ML modeling to understand and predict irradiation‑induced mechanical behavior, supporting advanced materials development for high‑power particle accelerator applications. These positions are part‑time, benefits‑eligible, and funded by a grant; continued employment beyond the grant period cannot be guaranteed.
Position Details
Job Title:
Research Technician (Part‑Time)
Department:
Engineering
Salary:
$31,200 per annum
Remote:
Considered
Benefit Eligibility:
Yes (part‑time)
Typical Duties / Job Duties
65% – Conduct research related to the DOE‑funded project, including experimental design, data collection, analysis, and documentation.
20% – Communicate research findings through writing, peer‑reviewed journals, presentations at universities, national laboratories, and professional conferences.
15% – Participate in regular meetings with the PI, supervise two undergraduate students, and perform other related duties as assigned.
Knowledge, Skills, and Abilities
Experience with materials testing (tensile, hardness, nanoindentation, metallography) and microstructural characterization techniques (SEM, EBSD, OM).
Experience with metallographic specimen preparation.
Knowledge of mechanical material properties: hardness, elastic modulus, ductility, yield strength, and strain.
Ability to conduct independent scientific research and solve problems creatively.
Programming experience in Python and/or C++.
Strong mathematical and analytical skills.
Experience working collaboratively within a multidisciplinary team.
Excellent oral and written communication skills.
Minimum Qualifications
Ph.D. candidates or students in Materials Science and Engineering, Mechanical Engineering, Nuclear Physics, or a closely related field with relevant research experience. Backgrounds in experimental, theoretical, and/or computational research are required; candidates from all areas will be considered. Appointment level and compensation will be commensurate with education and experience.
Preferred Qualifications
Prior experience with machine learning or data‑driven modeling.
Publications, manuscripts in preparation, or significant research outputs.
EEO Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, or status as a protected veteran. Angelo State University is committed to providing reasonable accommodations for qualified individuals with disabilities.
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The Material Assessment and Qualification (MatAQ) research group in the David L. Hirschfeld Department of Engineering at Angelo State University (ASU) is led by Dr. Mohammad Shafinul Haque, Associate Professor of Mechanical Engineering. The group is seeking Research Technicians for part‑time positions supported by a Department of Energy (DOE) funded collaboration with Fermi National Accelerator Laboratory (Fermilab). Selected candidates will contribute to experimental testing, data analysis, and machine learning (ML) modeling related to the mechanical behavior of ion‑irradiated High Entropy Alloys (HEAs). The work integrates experimental results with ML modeling to understand and predict irradiation‑induced mechanical behavior, supporting advanced materials development for high‑power particle accelerator applications. These positions are part‑time, benefits‑eligible, and funded by a grant; continued employment beyond the grant period cannot be guaranteed.
Position Details
Job Title:
Research Technician (Part‑Time)
Department:
Engineering
Salary:
$31,200 per annum
Remote:
Considered
Benefit Eligibility:
Yes (part‑time)
Typical Duties / Job Duties
65% – Conduct research related to the DOE‑funded project, including experimental design, data collection, analysis, and documentation.
20% – Communicate research findings through writing, peer‑reviewed journals, presentations at universities, national laboratories, and professional conferences.
15% – Participate in regular meetings with the PI, supervise two undergraduate students, and perform other related duties as assigned.
Knowledge, Skills, and Abilities
Experience with materials testing (tensile, hardness, nanoindentation, metallography) and microstructural characterization techniques (SEM, EBSD, OM).
Experience with metallographic specimen preparation.
Knowledge of mechanical material properties: hardness, elastic modulus, ductility, yield strength, and strain.
Ability to conduct independent scientific research and solve problems creatively.
Programming experience in Python and/or C++.
Strong mathematical and analytical skills.
Experience working collaboratively within a multidisciplinary team.
Excellent oral and written communication skills.
Minimum Qualifications
Ph.D. candidates or students in Materials Science and Engineering, Mechanical Engineering, Nuclear Physics, or a closely related field with relevant research experience. Backgrounds in experimental, theoretical, and/or computational research are required; candidates from all areas will be considered. Appointment level and compensation will be commensurate with education and experience.
Preferred Qualifications
Prior experience with machine learning or data‑driven modeling.
Publications, manuscripts in preparation, or significant research outputs.
EEO Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, or status as a protected veteran. Angelo State University is committed to providing reasonable accommodations for qualified individuals with disabilities.
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