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MS0098: Internship - Control and Estimation for Large-Scale Thermofluid Systems
MERL is seeking a motivated graduate student to research methods for state and parameter estimation and optimization of large-scale systems for process applications. Representative applications include large vapor-compression cycles and other multiphysical systems for energy conversion that couple thermodynamic, fluid, and electrical domains. The ideal candidate would have a solid background in control and estimation, numerical methods, and optimization; strong programming skills and experience with Julia/Python/Matlab are also expected. Knowledge of the fundamental physics of thermofluid flows (e.g., thermodynamics, heat transfer, and fluid mechanics), nonlinear dynamics, or equation-oriented languages (Modelica, gPROMS) is a plus. The expected duration of this internship is 3 months.
The pay range for this internship position will be 6-8K per month.
- Research Areas: Optimization, Machine Learning, Control, Multi-Physical Modeling
- Host: Chris Laughman
- Apply Now
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EA0222: Internship - Hybrid Vehicle Design and Optimal Control
MERL is seeking a motivated and qualified individual to conduct research in analysis and optimization of hybrid vehicles. The ideal candidate should have solid backgrounds in hybrid electrical propulsion system modeling and analysis, optimization, and optimal control. Excellent coding skills on MATLAB and/or python is a necessity. Ph.D. students in aerospace and electrical engineering are encouraged to apply. Start date for this internship is flexible and the duration is about 3 months.
Required Specific Experience
- Experience with [specific experience here].
The pay range for this internship position will be 6-8K per month.
- Research Areas: Electric Systems, Multi-Physical Modeling, Optimization
- Host: Yebin Wang
- Apply Now