Internship Openings

7 / 48 Intern positions were found.

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 Group E:1 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).

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


  • MM1017: Multimodal Active Sensing

    • MERL is looking for a highly-motivated intern to work at the intersection of optical depth sensing and radar. The successful candidate will have expertise in computer vision, optical depth sensing and 3D tracking, and/or radar array signal processing. Familiarity with other active sensing methods and modern signal processing techniques, such as compressive sensing and sparse optimization, are a plus. The expected duration of the internship is 3 months with a possibility of extension, and the start date is flexible. Extra consideration will be given to candidates that are immediately available.

    • Research Area: Multimedia
    • Host: Petros Boufounos
    • Apply Now
  • MM1075: Privacy-Preserving Data Analytics

    • MERL is seeking a highly motivated and qualified intern to work on privacy-preserving technologies. The intern will collaborate with MERL researchers on developing novel approaches to privacy-preserving data analytics. The ideal candidate would have research experience in data privacy, machine learning, and information theory. A mature understanding of statistical inference and stochastic processes, proficiency with Python, and familiarity with machine learning libraries are expected. Proficiency with other programming languages and software development experience is a plus. Candidates at or beyond the middle of their Ph.D. program are encouraged to apply.

    • Research Area: Multimedia
    • Host: Ye Wang
    • Apply Now
  • MM1048: Deep Learning for Artificial Intelligence

    • We are seeking graduate students excited about new possibilities in artificial intelligence, driven by the latest advances in deep learning. The research focuses on integrating natural language understanding with multi-modal scene understanding using multi-task learning. The ultimate goal interactive question answering about an observed audio/visual scene, as a step toward developing grounded semantic representations. The ideal candidate would be a senior Ph.D. student with availability for a 3-6 month internship and experience in one or more of natural language, speech, and computer vision. The candidate should be well-versed in deep learning methods for sequential and structured prediction problems, such as attention models, and related programming skills for large scale problems. The internship work is expected to contribute to publications in the field and may serve as a component of the candidate's graduate thesis.

    • Research Area: Multimedia
    • Host: John Hershey
    • Apply Now
  • MM1046: End-to-end acoustic analysis recognition and inference

    • MERL is looking for an intern to work on fundamental research in the area of end-to-end acoustic analysis, recognition, and inference using machine learning techniques such as deep learning and/or Bayesian approaches. The intern will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for high impact publication. The ideal candidate would be a senior Ph.D. student with experience in source separation, speech recognition, and/or natural language processing including practical machine learning algorithms with related programming skills. The duration of the internship is expected to be 3-6 months. Positions are available throughout 2017.

    • Research Area: Multimedia
    • Host: Shinji Watanabe
    • Apply Now
  • MM1010: Fluid Dynamics Estimation and Control

    • MERL is seeking a motivated and qualified individual to conduct research in fluid dynamics estimation and control. The ideal candidate should have solid background in PDE model reduction, observability analysis and state observers design for dynamical systems. Familiarity with operator-based model reduction or adaptive control techniques is a plus. Publication of the results produced during the internship is anticipated.

    • Research Area: Multimedia
    • Host: Mouhacine Benosman
    • Apply Now
  • MM1077: Large-scale Computational Radar Imaging

    • The Computational Sensing team at MERL is seeking a motivated and qualified individual to conduct research on large-scale computational radar imaging under wave-based forward models. The ideal candidate should be a Ph.D. student and have a solid background and publication record in imaging inverse problems, large-scale optimization, and/or radar imaging. Experience with experimentally measured data is desirable. Publication of the results produced during the internship is expected. The duration of the internship is anticipated to be 3-6 months. Start date is flexible.

    • Research Area: Multimedia
    • Host: Ulugbek Kamilov
    • Apply Now
  • MM1012: Point Cloud Compression

    • MERL is seeking an intern to work on new methods for coding and compressing 3D point clouds. The ideal candidate will have relevant expertise in computer graphics representation and compression, lossy or lossless image/video compression, familiarity with point cloud data related to mobile mapping and laser scanning, as well as experience with existing compression standards such as HEVC or H.264/AVC. Candidates at or beyond the middle of a Ph.D. program are encouraged to apply.

    • Research Area: Multimedia
    • Host: Bob Cohen
    • Apply Now