Postdoc: Advanced Materials for Renewable Energy

Prairie View A&M University; Prairie View (TX); On-site; USD 60,000 - 90,000; Full time

Job summary

Prairie View A&M University is seeking a Postdoctoral Researcher to conduct experimental studies on advanced materials with emphasis on magnetic, optoelectronic, and thermoelectric properties. You will develop measurement techniques, apply machine learning to experimental data, and contribute to collaborative projects across departments.

The role involves mentoring students, preparing research papers and grant proposals, and presenting findings at conferences, with opportunities to collaborate

Qualifications

• Ph.D. 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 (Magnetic, Optoelectronic, Thermoelectric measurements).

Responsibilities

• Conduct experimental research on novel materials focusing on magnetic, optoelectronic, and thermoelectric properties.
• Develop and optimize measurement techniques for advanced materials characterization.
• Apply machine learning models to analyze 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 mentoring graduate and undergraduate students in the laboratory.

Skills

Machine learning

Independent research

Communication

Education

Ph.D. in Materials Science, Physics, Engineering or related field

Tools

PPMS

XRD

SQUID magnetometry

Optical spectroscopy

Scanning probe microscopy

Job description

Prairie View A&M University is seeking a Postdoctoral Researcher to conduct experimental studies on advanced materials with emphasis on magnetic, optoelectronic, and thermoelectric properties. You will develop measurement techniques, apply machine learning to experimental data, and contribute to collaborative projects across departments.

The role involves mentoring students, preparing research papers and grant proposals, and presenting findings at conferences, with opportunities to collaborate