Internship Openings

5 / 62 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.

Qualified applicants for MERL internships are individuals who have or can obtain full authorization to work in the U.S. and do not require export licenses to receive information about the projects they will be exposed to at MERL. The U.S. government prohibits the release of information without an export license to citizens of several countries, including, without limitation, Cuba, Iran, North Korea, Sudan and Syria (Country Groups E:1 and E:2 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).


  • SP1266: Multi-spectral image enhancement

    • MERL is looking for a self-motivated intern to work on multi-spectral image enhancement. The ideal candidate would be a senior Ph.D. student with strong background in computer vision and image processing. Experience in low light image denoising and image registration is desirable. Proficiency in MATLAB and Python programming is necessary. The intern is expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. Start date is flexible.

    • Research Areas: Computational Sensing, Computer Vision, Signal Processing
    • Host: Dehong Liu
    • Apply Now
  • SP1250: Extended Object Tracking for Autonomous Driving

    • The Signal Processing (SP) group at MERL is seeking a highly motivated intern to conduct fundamental research in automotive radar-based extended object tracking (EOT) for autonomous driving. Previous experience on radar-based (point and extended) object tracking (extended/unscented Kalman Filtering, interacting multiple model (IMM) tracking, probability hypothesis density (PHD) filtering, etc.), data association, and jointly data association and prediction/filtering (joint probability data association (JPDA), multi-hypothesis tracking (MHT) is highly preferred. Knowledge about antenna beamforming, target detection, sensor fusion, MIMO radar, waveform modulation (FMCW and PMCW) is a plus. Familiarity with commercial automotive radar platforms is an asset. The intern will collaborate with a small group of MERL researchers to develop novel algorithms, conduct field measurements, and prepare results for patents and publication. Senior Ph.D. students with research focuses on signal processing, machine learning, optimization, applied mathematics, or related areas are encouraged to apply. The expected duration of the internship is 3 months with flexible start date.

    • Research Areas: Computational Sensing, Machine Learning, Signal Processing
    • Host: Perry Wang
    • Apply Now
  • SP1254: Advanced computational sensing technologies

    • The Computational Sensing team at MERL is seeking motivated and qualified individuals to develop computational imaging algorithms for a variety of sensing applications. Ideal candidates should be Ph.D. students and have solid background and publication record in any of the following, or related areas: imaging inverse problems, large-scale optimization, blind inverse scattering, radar/lidar/sonar imaging, or wave-based inversion. Experience with experimentally measured data is desirable. Publication of the results produced during our internships is expected. The duration of the internships is anticipated to be 3-6 months. Start date is flexible.

    • Research Areas: Computational Sensing, Machine Learning, Signal Processing
    • Host: Hassan Mansour
    • Apply Now
  • SP1242: Remote Sensing Data Compression

    • MERL is seeking an intern for an immediate opening, to research and develop methods for remote sensing data and image compression. The ideal candidate would have a solid background related to image or signal compression, signal processing, and information theory. The applicant should also have experience with programming in at least one of C/C++, Matlab, or Python. Experience with remote sensing data processing, such as SAR image formation, is a plus, as is familiarity with distributed coding, entropy coding, and quantization. Duration of internship is 3-6 months.

    • Research Areas: Communications, Computational Sensing, Computer Vision, Signal Processing
    • Host: Petros Boufounos
    • Apply Now
  • SP1267: Signal spectrum analysis

    • MERL is looking for a self-motivated intern to work on signal spectrum analysis. The ideal candidate would be a senior Ph.D. student with strong background in signal processing, compressive sensing, and mathematics. Proficiency in MATLAB and Python programming is necessary. Experience in analyzing real experimental data or detecting weak signal in noisy environment is a great asset. The intern is expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. Start date is flexible.

    • Research Areas: Computational Sensing, Optimization, Signal Processing
    • Host: Dehong Liu
    • Apply Now