MERL is seeking a motivated and qualified individual to conduct research in modeling, simulation and control of aircraft electrical power system. The ideal candidate should have solid backgrounds in dynamic modeling and simulation of power electronics and electrical machine, and transient analysis of overall electrical power system. Demonstrated experience in physical modeling and simulation software/language such as Modelica or Simscape is a necessity. Knowledge of aircraft dynamics and aerodynamics is a big plus. Senior Ph.D. students in aerospace, electrical engineering, control are encouraged to apply. Start date for this internship is flexible and the duration is about 3 months.

MERL is seeking a self-motivated intern to work on blind signal decomposition. The ideal candidate would be a senior PhD student with solid background in signal processing, sparse representation, and optimization. Prior experience in array signal processing, compressive sensing, and spectrum analysis is preferred. Skills in Python and/or Matlab are required. The intern is expected to collaborate with MERL researchers to build models, develop algorithms, and prepare manuscripts for scientific publications. The expected duration of the internship is 3 months and the start date is flexible. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

MERL is seeking a motivated and qualified individual to conduct research in control of electrical machines. The ideal candidate should have solid backgrounds in adaptive dynamic programming and state/parameter estimation for electrical machines, demonstrated capability to publish results in leading conferences/journals, and experience with real-time control experiments involving high power devices. Senior Ph.D. students are encouraged to apply. Start date for this internship is flexible and the duration is about 3 months.

MERL is seeking a motivated and qualified individual to conduct research in design, modeling, and simulation of electrical machines. The ideal candidate should have solid backgrounds in modeling (including model reduction)/co-simulation of electromagnetics and thermal dynamics of electrical machines, and demonstrated capability to publish results in leading conferences/journals. Experience with ANSYS, COMSOL, and real-time control experiments involving motor drives is a strong plus. Senior Ph.D. students in electrical or mechanical engineering are encouraged to apply. Start date for this internship is flexible and the duration is about 3-6 months.

MERL is seeking a highly motivated and qualified individual to join our summer internship program and conduct research in the area of digitalized and resilient power grids. The ideal candidate should have a solid background in power systems, renewable generation, signal processing, and machine learning. Experience with MATLAB or C/C++/Python is required. The duration of the internship is expected to be 3-6 months, and the start date is flexible. Candidates in their senior or junior years of a Ph.D. program are encouraged to apply. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.

MERL is seeking a highly motivated and qualified individual to join our summer internship program and conduct research in the area of micro-grid fault analysis and detection. The ideal candidate should have a solid background in micro-grid operation, transient analysis, fault detection, and power system protection. Experience with MATLAB or C/C++/Python is required. The duration of the internship is expected to be 3-6 months, and the start date is flexible. Candidates in their senior or junior years of a Ph.D. program are encouraged to apply. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.