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Job description
Postdoctoral Researcher (PIER - Pioneering Advanced Materials for Renewable Energy Research)
Prairie View A&M University
The Department of Physics at Prairie View A&M University (PVAMU) is seeking a highly motivated and qualified Postdoctoral Fellow to join our research team in the field of Materials Science. This position focuses on the characterization and analysis of advanced materials, with an emphasis on magnetic, optoelectronic, and thermoelectronic measurements. The ideal candidate will also contribute to the integration of machine learning and predictive modeling to enhance material design and performance prediction.
The appointment is a one-year, full-time position in residence at Prairie View A&M University. The university retains the option to renew the appointment for a second year based on performance, research progress, and availability of funding. The maximum term is two years.
This position is funded by restricted funds or a grant. Continued employment is contingent upon the renewal of restricted or grant funds.
The salary is determined in accordance with the University's compensation structure and will be commensurate with the candidates' education and experience, within the assigned salary range for this position.
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.
Required Education & Experience:
Ph.D. in Materials Science, Physics, Engineering or a related field (earned within the past three years).
Experience with machine learning and predictive modeling applied to material science or related fields.
Required Knowledge, Skills and Abilities:
Strong background in materials characterization techniques, specifically in Magnetic, Optoelectronic, and Thermoelectric measurements.
Demonstrated ability to conduct independent research and work in a collaborative environment.
Excellent written and verbal communication skills.
Preferred Qualifications:
Familiarity with advanced characterization tools (e.g., PPMS, XRD, SQUID magnetometry, optical spectroscopy, or scanning probe microscopy).
Experience with high-performance computing or cloud-based machine learning platforms.
Knowledge of data-driven approaches to material design and optimization.
Proven experience and strong interest in collaborative research with peers across disciplines particularly with those in humanities and social sciences.
Job Posting Close Date: Until Filled
Worksite address
prairie view, TX, 77446, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.