Join Us
We are always interested in working with motivated students and researchers who want to contribute to advancing resilient, data-driven, and sustainable energy systems. Our group focuses on combining analytics, optimization, and domain knowledge to address real-world challenges in modern power and infrastructure systems.
If you are interested in joining the Laboratory for Advancing Sustainable Energy Resilience (LASER), please review the information below and contact us with your background, interests, and CV.
Undergraduates
We welcome highly motivated undergraduate students who are interested in gaining hands-on research experience in areas such as:
- Data analytics for energy and infrastructure systems
- Forecasting renewable generation, demand, and electricity prices
- Visualization and interpretation of large-scale operational data
- Modeling uncertainty in real-world engineering systems
Students may participate through research credits, directed studies, or funded positions depending on availability.
If you are interested, please email Dr. Elnaz Kabir with a brief description of your interests and experience.
Graduate Students
Prospective graduate students interested in research related to:
- Predictive analytics for power systems
- Renewable-rich grid planning and resilience
- Stochastic and robust optimization under uncertainty
- Energy storage, hydrogen systems, and flexible industrial loads
- Interactions between supply chains and the electric grid
are encouraged to reach out to discuss alignment of research interests.
Applicants should include their CV, transcripts, and a short statement describing how their background connects to the group’s research themes.
Postdoctoral Researchers
We welcome inquiries from postdoctoral scholars interested in advancing interdisciplinary research at the intersection of:
- Energy systems modeling and optimization
- Climate and weather impacts on infrastructure resilience
- Large-scale uncertainty-aware decision frameworks
- Data-driven methods for emerging grid challenges such as AI-driven load growth and electrification
Candidates with external fellowship funding, or those interested in collaborating on funding proposals, are especially encouraged to connect.
Please email Dr. Kabir with your CV, research summary, and potential funding interests.
What We Look For
We value collaborators who are:
- Curious about solving real-world energy and infrastructure problems
- Comfortable working across data, modeling, and engineering domains
- Interested in interdisciplinary, impact-driven research
- Motivated to translate analytics into actionable system insights
Our work is highly collaborative and combines tools from engineering, statistics, operations research, and computer science to strengthen future energy systems.