Energy Systems Modeling Internship - Multi-Fidelity Dynamics
Mitsubishi Electric Research Laboratories
Cambridge (MA)
On-site
USD 66,960 - 89,280
Full time
14 days+
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Benefits offered by this job
Relocation stipend
Covered travel to and from MERL
Monthly Charlie Card for local commuting
Health insurance coverage after 90 days
Job summary
A leading research laboratory in Cambridge is seeking a motivated graduate student for an internship focused on developing multi-fidelity dynamic models for energy systems. Candidates should have hands-on experience in numerical simulation and solid thermofluids knowledge. A strong background in programming (Python/Julia/Matlab) is essential. This internship offers a competitive pay range of 6-8K per month, along with additional benefits such as relocation stipend and travel coverage. The position is available for 3 months with a flexible start date.
Familiarity with model reduction or surrogate modeling.
Solid understanding of thermofluids (thermodynamics, heat transfer, fluid mechanics).
Responsibilities
Develop multi-fidelity dynamic simulation methods for energy systems.
Work on vapor-compression/HVAC cycles and related multiphysics platforms.
Skills
Time-domain numerical simulation
ODE/DAE integration
Implicit/iterative solvers
Sparse linear algebra
Programming in Python
Programming in Julia
Programming in Matlab
Model reduction
Surrogate modeling
System identification
Education
Graduate student in applied mathematics, chemical/mechanical engineering, or related areas
Job description
A leading research laboratory in Cambridge is seeking a motivated graduate student for an internship focused on developing multi-fidelity dynamic models for energy systems. Candidates should have hands-on experience in numerical simulation and solid thermofluids knowledge. A strong background in programming (Python/Julia/Matlab) is essential. This internship offers a competitive pay range of 6-8K per month, along with additional benefits such as relocation stipend and travel coverage. The position is available for 3 months with a flexible start date.