Post Doctoral Scholar

College of Engineering and Computer Science (CECS):
The UCF College of Engineering and Computer Science is among the nation's largest producers of engineering and technology workforce talent. We have more than 40 degree and certificate programs within the college and are continuing to grow. Our students, faculty, and alumni address society's greatest challenges and aspirations in energy, environment, aerospace, computing, healthcare, transportation, and more. Our education and research efforts are supported by a strong neighboring industry presence such as L3Harris Corporation, Lockheed Martin, Duke Energy, Siemens, Walt Disney World, and NASA, to name a few.

The Opportunity

The School of Modeling, Simulation, and Training (SMST) is seeking a highly motivated Postdoctoral Scholar to join our research team. This position offers an exciting opportunity to contribute to cutting-edge research at the intersection of artificial intelligence reasoning and renewable energy analytics. Position: Postdoctoral Scholar in PV and Battery Storage System Performance Analysis

Job Responsibilities

Research:
- Conduct research on photovoltaic (PV) and energy storage system performance analysis.
- Develop models for energy yield prediction.
- Develop models for performance loss rate analysis.
- Conduct time series analysis and apply machine learning techniques to assess PV and energy storage system performance.
- Publish research outcomes in top tier peer review journals and conferences.
- Collaborate with interdisciplinary teams.
- Manage research projects and support internal/external collaborations.

Mentoring:
- Mentor graduate and undergraduate students.

Develop new research:
- Support or lead research proposals.

Minimum Qualifications

PhD in Electrical Engineering, Electrical and Computer Engineering, Materials Science, Computer Science, or other related fields.

Preferred Qualifications

Strong publication record in renewable energy domain
- Experience with simulating the performance of photovoltaic energy systems
- Experience with pvlib, SAM or other related tool
- Excellent analytical and problem-solving skills
- Strong communication and teamwork abilities
- Experience working on federally funded projects (e.g., Department of Energy, NSF, or similar agencies)
- Experience mentoring students at the graduate or undergraduate level
- Strong background in machine learning, artificial intelligence, or spatiotemporal data analytics
- Proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and large-scale data analysis

Additional Application Materials Required

Cover letter
CV
Research Statement or Relevant Publication

Special Instructions to the Applicants

Please contact Professor Mengjie Li at mengjie.li@ucf.edu for additional information.Please use the subject line "Postdoctoral Scholar Application - PV + Storage Performance".

Department

Work Schedule

Type of Appointment

Expected Salary

Equal Employment Opportunity Statement:

The University of Central Florida is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets. Click on UCF's Equal Opportunity Statement to view the President's Statement.

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