Internship Openings

2 / 15 Intern positions were found.

Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge.

Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions.


  • MS0176: Internship - Few-Shot Learning

    • We are seeking an intern to help advance the field of probabilistic machine learning by analyzing industrial sensor data to detect anomalies and quickly create specialized models using fine-tuning and in-context learning techniques. The intern will collaborate with MERL researchers to derive and implement novel algorithms, analyze real-world industrial sensor data, conduct experiments, and prepare results for publication. Internships regularly lead to one or more publications in top-tier venues, which can later become part of the intern's thesis work.

      N.B.: The expected duration of the internship is 3-4 months between Oct-2025 and Mar-2026.

      Required Specific Experience

      The ideal candidates have experience in some of the following areas: transfer learning, in-context learning, Bayesian neural networks, meta-learning, physics informed machine learning, anomaly/outlier detection, and unsupervised learning.

    • Research Areas: Multi-Physical Modeling, Machine Learning
    • Host: Ankush Chakrabarty
    • Apply Now

  • 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.

    • Research Areas: Optimization, Machine Learning, Control, Multi-Physical Modeling
    • Host: Chris Laughman
    • Apply Now