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Research Technician (Part-Time)

Angelo State University, United States

Updated: about 11 hours ago
Location: San Angelo, TEXAS
Deadline: ;

Posting Details
Position Information


Job Title Research Technician (Part-Time)
Position Number TBD
Department Engineering
Salary $31,200
Remote Will be considered
Job Summary/Description
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, and is seeking Research Technicians. These are part-time positions supported by a Department of Energy (DOE)-funded collaboration project between ASU and Fermi National Accelerator Laboratory (Fermilab).
The 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). Research activities include nanoindentation testing, materials characterization, and the development and interpretation of ML predictive models using data-driven approaches.
The work will integrate experimental results with ML modeling efforts to understand and predict irradiation-induced mechanical behavior, supporting the development of advanced materials for high-power particle accelerator applications. The project will generate publishable research outcomes in collaboration with national laboratory partners.

These positions are part-time, benefits-eligible. These positions are funded by a grant. Continued employment beyond the period of grant funding cannot be guaranteed.

This employment is limited to individuals who are U.S. citizens, permanent residents, or who otherwise possess valid U.S. work authorization at the time of hire and throughout the term of employment.
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 to the broader community through writing and submitting papers to peer-reviewed journals, giving presentations at universities and national laboratories, and presenting at professional conferences.
15% – Participate in regular meetings with the PI, including lab and one-on-one meetings. Supervise two undergraduate students involved in the research project 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 properties of materials: Hardness, Elastic modulus, Ductility, Yield strength, and strain
  • Experience in conducting independent scientific research, Creative and independent problem-solving skills
  • 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/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; candidates from all areas will be considered. Appointment level and compensation will be commensurate with education and experience.

Eligibility to Work in the United States
This position is limited to applicants who are U.S. citizens, lawful permanent residents (green card holders), or individuals with valid U.S. work authorization.
Candidates seeking employment under F1 Optional Practical Training (OPT) with an approved Employment Authorization Document (EAD) may be considered. Any offer of employment for such candidates will be contingent upon maintaining valid work authorization for the duration of the appointment.
Angelo State University does not provide visa sponsorship for this position.
Preferred Qualifications
  • Prior experience with machine learning or data-driven modeling
  • Publications, manuscripts in preparation, or significant research outputs preferred.
Physical Requirements
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.
In compliance with the Americans with Disabilities Act (ADA), Angelo State University is committed to providing reasonable accommodations to ensure equal access to employment opportunities for qualified individuals with disabilities. We are committed to ensuring that a qualified individual with a disability has the same rights and privileges in employment as non-disabled employees. If an accommodation is requested for the job application process, please contact our office at (325) 942-2168 or email us at hr@angelo.edu .

Posting Detail Information


Posting Number S1099P
Open Date 03/31/2026
Close Date
Desired Start Date
Review Start Date
Open Until Filled Yes
Special Instructions to Applicants
Please attach the following items with your application
  • Curriculum Vitae (CV), including a list of selected publications and oral presentations
  • A brief statement of research interests and/or a brief Statement on modeling, simulation, and/or programming experience (no more than one page) — this may include a list of relevant interests, experience, and any related publications.
  • List of References
Required Number of References

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