Aaditya Khanal
3 weeks ago
PhD Opening in Techno-Economic Analysis, Battery Chemistries, and AI/ML Grid Optimization University of Tulsa in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding available
Country
United States
University
University of Tulsa
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About this position
Professor/announcer Aaditya Khanal, Assistant Professor at the University of Tulsa (United States), is looking for a PhD student to join a project on techno-economic analysis, system-level storage modeling, battery chemistries, and AI/ML-assisted grid optimization.
The research sits at the intersection of Electrical Engineering, Computer Science, Materials Science, and Industrial Engineering, with a strong focus on energy storage systems, comparative cost/performance analysis, and optimization for power grids.
Preferred background: hands-on TEA experience, peer-reviewed publications, a completed Master's degree, and current residence in the US. Strong candidates outside the US are also welcome to apply.
How to apply: email Aaditya Khanal directly at [email protected] with the subject line PHD_TEA_Tulsa. Include your CV, transcript, and a list of publications.
No deadline was stated in the post.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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