Energy Systems Modeling Intern - Multi-Fidelity Dynamics

merl

Cambridge (MA)

On-site

USD 67,000 - 89,000

Part time

7 days ago
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Benefits offered by this job

Relocation stipend
Travel covered to/from MERL
Monthly Charlie Card
Health insurance eligibility after 90+
Immigration support

Job summary

MERL seeks a motivated graduate student to develop multi-fidelity dynamic simulation methods for energy systems, including vapor-compression/HVAC cycles and related multiphysics platforms. Candidates should have hands-on time-domain numerical simulation experience and strong programming skills (Python/Julia/Matlab).

The internship is 3 months with a flexible start date, offering a relocation stipend, covered travel, and a monthly Charlie Card for local commuting.

Qualifications

  • Hands-on time-domain numerical simulation experience (ODE/DAE integration).
  • Familiarity with model reduction or surrogate modeling.
  • Solid thermofluids literacy (thermodynamics, heat transfer, fluid mechanics).

Skills

Time-domain simulation
ODE/DAE integration
Implicit solvers
Sparse linear algebra
Model reduction
Surrogate modeling
Python
Julia
MATLAB
Modelica
Simscape

Education

Senior PhD student

Tools

Python
Julia
MATLAB
Modelica
Simscape

Job description

MERL seeks a motivated graduate student to develop multi-fidelity dynamic simulation methods for energy systems, including vapor-compression/HVAC cycles and related multiphysics platforms. Candidates should have hands-on time-domain numerical simulation experience and strong programming skills (Python/Julia/Matlab).

The internship is 3 months with a flexible start date, offering a relocation stipend, covered travel, and a monthly Charlie Card for local commuting.

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