Internship Openings

Mitsubishi Electric Research Laboratories (MERL), located in Cambridge, MA, is seeking a highly motivated and qualified individual to join our summer internship program and conduct cutting-edge research on hybrid AC and DC power grids. The ideal candidate is a senior or junior Ph.D. student in Electrical Engineering or a related field with strong expertise in HVDC power systems, power system analysis, power electronics and control, renewable energy integration, numerical methods and optimization. Proficiency in MATLAB, Python, or C/C++ programming is required. The internship is expected to last 3–4 months with a flexible start date, The pay range for this internship position will be 6-8K per month.

MERL is looking for a highly motivated and qualified PhD student in the areas of system identification, to participate in research on advanced algorithms for system identification of mechanical systems and processes. Solid background and hands-on experience with various system identification algorithms is required, including black-box and grey-box methods. Good understanding of mechanics is expected, as well as familiarity with algorithms for computing forward and inverse dynamics of mechanical systems. Of particular help would be expertise in tribology and metal-cutting technology. Hands-on experience with physics engines and other simulators would be a plus. Solid experimental skills and hands-on experience in coding in Python is required for the position. A more general understanding of machine learning algorithms, including deep learning, and experience with relevant libraries, such as scikit-learn and PyTorch would be considered a plus. Knowledge of time series analysis methods, in particular anomaly detection in time series, would also be beneficial. Hands-on skills in data acquisition from physical systems is desirable, but not strictly required.

The position will provide opportunities for exploring fundamental problems in system identification leading to publishable results. The duration of the internship is 3 to 5 months. Preference will be given to candidates who can start in the Fall of 2025 and no later than the beginning of January 2026.

Required Specific Experience

• System identification algorithms
• Classical mechanics
• Python

Desired Specific Experience

• Modelling of metal cutting
• Tribology
• Time series analysis
• Machine learning
• Physics engines
• Data acquisition

The pay range for this internship position will be 6-8K per month.

Mitsubishi Electric Research Laboratories (MERL) is seeking a highly motivated Ph.D. student intern to conduct research on electromagnetic transient analysis of power grids. The ideal candidate will have a strong background in power systems, transient analysis, dynamic simulation, converter control, numerical methods, and optimization. Proficiency in MATLAB, Python, or C++ is required. Prior experience with electromagnetic transient analysis will be considered a plus. This internship is expected to last three to six months, with a flexible start date. The pay range for this internship position will be 6-8K per month.

MERL seeks a motivated graduate student to develop multi-fidelity dynamic simulation methods for energy systems (e.g., vapor-compression/HVAC cycles and related multiphysics platforms). Candidates should have hands-on time-domain numerical simulation experience (ODE/DAE integration, implicit/iterative solvers, sparse linear algebra), familiarity with model reduction or surrogate modeling, solid thermofluids literacy (thermodynamics, heat transfer, fluid mechanics), and strong programming skills in Python/Julia/Matlab. System identification and/or numerical optimization for dynamical systems, and familiarity with equation-oriented tools (Modelica or Simscape), are desirable; a track record of rigorous research (papers or robust software) is preferred. Senior PhD students in applied mathematics, chemical/mechanical engineering, or related areas are encouraged to apply. The internship is 3 months, with a flexible start date.

The pay range for this internship position will be 6-8K per month.

MERL is seeking a highly motivated and qualified intern to conduct research on multi-hop IoT network anomaly detection and analysis. The candidate is expected to develop innovative network anomaly detection technologies that can proactively detect and analyze network failure in multi-hop IOT networks. The candidate should have knowledge of LLM/ML and anomaly detection. Knowledge of network log analysis and network protocol a plus. Start date for this internship is flexible and the duration is about 3 months.

Responsibilities for this position include:

• Research on anomaly detection in multi-hop IoT networks
• Develop innovative network anomaly detection and analysis technologies
• Simulate and analyze the performance of developed technology

Qualifications for this position are:

• Junior and senior year Ph.D candidates

The pay range for this internship position will be 6-8K per month.

PRINCIPALS ONLY. No phone calls please.

Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.