Postdoctoral Fellow – Advanced Materials & ML Research

Texas A&M University System

Prairie View (TX)

On-site

USD 55,000 - 75,000

Full time

14 days+
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Job summary

Prairie View A&M University’s Department of Physics seeks a Postdoctoral Researcher for the PIER program to advance materials science research. The role focuses on magnetic, optoelectronic, and thermoelectronic measurements, with ML and predictive modeling to aid material design and performance prediction.

The appointment is one year in residence, with potential renewal for a second year based on progress and funding. Funding is restricted; continued employment depends on fund availability.

Qualifications

  • PhD in Materials Science, Physics, Engineering or related field (earned within the past three years).
  • Experience with machine learning and predictive modeling applied to material science or related fields.
  • Strong background in materials characterization techniques, specifically Magnetic, Optoelectronic, and Thermoelectric measurements.

Responsibilities

  • Conduct experimental research on novel materials with a focus on magnetic, optoelectronic, and thermo-electronic properties.
  • Develop and optimize measurement techniques for advanced materials characterization.
  • Apply machine learning models to analyze experimental data and predict material behavior.
  • Collaborate with faculty, graduate students, and researchers on multidisciplinary projects.
  • Contribute to writing research papers, grant proposals, and presenting findings at conferences.
  • Assist in the mentoring of graduate and undergraduate students in the laboratory.
  • Perform other duties as assigned.

Skills

Independent research
Written communication
Verbal communication
Collaboration

Education

PhD in Materials Science, Physics, Engineering

Tools

PPMS
XRD
SQUID magnetometry
Optical spectroscopy
Scanning probe microscopy

Job description

Prairie View A&M University’s Department of Physics seeks a Postdoctoral Researcher for the PIER program to advance materials science research. The role focuses on magnetic, optoelectronic, and thermoelectronic measurements, with ML and predictive modeling to aid material design and performance prediction.

The appointment is one year in residence, with potential renewal for a second year based on progress and funding. Funding is restricted; continued employment depends on fund availability.

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