Internship Openings

2 / 53 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.

In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered "at-will," and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.


  • ST0242: Internship - Radiation Detection and Estimation

    • MERL is seeking a motivated intern to support a research project focused on detecting and estimating properties of radiation sources (e.g., gamma, beta, alpha). The Computational Sensing team is developing new estimation and inference methods to analyze sensor data from radiation detection systems. To enable this, we require realistic physics-based simulations of particle transport and sensor interactions. The primary goal of this internship is to develop and validate high-fidelity radiation simulations using the Geant4 toolkit, providing data and visualization tools that will accelerate our algorithm development and testing. The ideal candidate would be a PhD student with experience in detector modeling and a familiarity with data analysis tools such as NumPy or ROOT. An understanding of inverse problems or estimation techniques may be beneficial but is not required. The duration is anticipated to be 3 - 6 months with a flexible start date.

      Required Specific Experience

      • Strong background in nuclear physics, radiation detection, or high-energy physics.
      • Demonstrated expertise with Geant4 (geometry setup, physics lists, scoring, visualization).

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

    • Research Areas: Applied Physics, Computational Sensing, Electronic and Photonic Devices, Signal Processing
    • Host: Joshua Rapp
    • Apply Now

  • ST0215: Internship - Single-Photon Lidar Algorithms

    • The Computational Sensing Team at MERL is seeking an intern to work on estimation algorithms for single-photon lidar. The ideal candidate would be a PhD student with a strong background in statistical modeling, estimation theory, computational imaging, and/or inverse problems. The intern will collaborate with MERL researchers to design new lidar reconstruction algorithms, conduct simulations, and prepare results for publication. A detailed knowledge of single-photon detection, lidar, and Poisson processes is preferred. Hands-on optics experience may be beneficial but is not required. Strong programming skills in Python or MATLAB are essential. The duration is anticipated to be 3 months with a flexible start date.

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

    • Research Areas: Computational Sensing, Computer Vision, Signal Processing, Optimization, Electronic and Photonic Devices
    • Host: Joshua Rapp
    • Apply Now