Inside Higher Ed
Title: Postdoctoral Research Fellow – Power Systems Modeling
Clemson University is inviting applications for a postdoctoral research opportunity focused on model calibration, validation, and uncertainty quantification for power systems. The Fellow will develop and apply advanced statistical, computational, and probabilistic methods to improve the fidelity and predictive capabilities of integrated distribution and transmission system models.
Responsibilities
Develop and apply advanced statistical, computational, and probabilistic methods for model calibration, validation, and uncertainty quantification in power systems. Integrate calibrated models into broader simulation frameworks and analyze the impact of uncertainty on system behavior. Disseminate findings through publications and presentations, and contribute to proposal development for future research initiatives. Collaborate with faculty and graduate students, providing mentorship and interdisciplinary collaboration. Qualifications
PhD required in Mechanical Engineering, Mathematical Sciences, Statistics, or Computer Science (or equivalent). Strong background in statistical and computational methods for power systems modeling. Excellent communication and publication skills. Application Instructions
Applicants should electronically submit all application materials via Interfolio:
https://apply.interfolio.com/175425
(required materials include a cover letter, professional curriculum vitae, and the names and contact information of three professional references). Applications should be submitted by October 31, 2025. Clemson University is an EEO/AA employer. Employment decisions are made without regard to characteristics protected by applicable law including disability and protected veteran status.
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Develop and apply advanced statistical, computational, and probabilistic methods for model calibration, validation, and uncertainty quantification in power systems. Integrate calibrated models into broader simulation frameworks and analyze the impact of uncertainty on system behavior. Disseminate findings through publications and presentations, and contribute to proposal development for future research initiatives. Collaborate with faculty and graduate students, providing mentorship and interdisciplinary collaboration. Qualifications
PhD required in Mechanical Engineering, Mathematical Sciences, Statistics, or Computer Science (or equivalent). Strong background in statistical and computational methods for power systems modeling. Excellent communication and publication skills. Application Instructions
Applicants should electronically submit all application materials via Interfolio:
https://apply.interfolio.com/175425
(required materials include a cover letter, professional curriculum vitae, and the names and contact information of three professional references). Applications should be submitted by October 31, 2025. Clemson University is an EEO/AA employer. Employment decisions are made without regard to characteristics protected by applicable law including disability and protected veteran status.
#J-18808-Ljbffr