Internship Openings

10 / 53 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 Groups E:1 and E:2 of Part 740, Supplement 1, of the U.S. Export Administration Regulations).

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


  • 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 representations and compression, and in lossy or lossless image or video compression. Familiarity with processing point cloud data related to mobile mapping, laser scanning, or virtual reality would be a plus.

    • Research Area: Multimedia
    • Host: Bob Cohen
    • Apply Now
  • MM1151: Scene-Aware Dialog Technology

    • MERL is looking for an intern to work on fundamental research in the area of scene-aware dialog technologies by combining end-to-end dialog and video scene understanding technologies. The intern will collaborate with MERL researchers to derive and implement new models, conduct experiments, and prepare results for high impact publication. The ideal candidate would be a senior Ph.D. student with experience in one or more of visual question answering, video captioning/description, end-to-end conversation modeling and 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 2018.

    • Research Area: Multimedia
    • Host: Chiori Hori
    • Apply Now
  • MM1149: Multi-Spectral Image Fusion

    • MERL is looking for an intern to work on multi-spectral image fusion. The ideal candidate would be a senior Ph.D. student with solid background in image registration, image enhancement, and computer vision. Experience in sparse modeling and deep learning is desirable. Proficiency in MATLAB programming is necessary. The intern is expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. The internship is expected to be 3 months and start date is flexible.

    • Research Area: Multimedia
    • Host: Dehong Liu
    • Apply Now
  • MM1132: 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. 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 one or more of source separation, speech recognition, and 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 2018.

    • Research Area: Multimedia
    • Host: Takaaki Hori
    • Apply Now
  • MM1124: Point Cloud Processing

    • MERL is seeking a senior graduate student for an internship in the area of graph signal processing. The research would be focused on the processing, classification and/or recognition of 3D point cloud data. The intern will work closely with MERL researchers to develop novel ideas and conduct experiments. Publication of research results is expected. The ideal candidate would have experience related to graph signal processing, deep learning, computer vision and/or 3D point cloud processing.

    • Research Area: Multimedia
    • Host: Dong Tian
    • Apply Now
  • MM1133: Robot navigation and control

    • MERL is seeking a motivated and qualified individual to conduct research in robot navigation and control, with a particular focus on aerial robots for indoor applications. The ideal candidate should have solid background in hardware and real-time control implementation of robots in a ROS environment. Familiarity with modeling and control of aerial robots is a plus. Duration of the internship is expected to be 3 months.

    • Research Area: Multimedia
    • Host: Mouhacine Benosman
    • Apply Now
  • MM1125: Sensor placement for state estimation

    • MERL is seeking a motivated and qualified individual to conduct research on sensor placement and flow estimation. The ideal candidate should be a Ph.D. student with expertise in state observer design for distributed dynamical systems. Graduate level fluid dynamics and dynamical systems coursework is required. Publication of the results produced during the internship is anticipated. Duration of the internship is expected to be 3 months. Start date is flexible.

    • Research Area: Multimedia
    • Host: Mouhacine Benosman
    • Apply Now
  • MM1091: Next generation LIDAR

    • MERL is looking for a highly motivated intern to work on developing prototype hardware for next generation LIDAR systems. The successful candidate will be responsible for designing and debugging prototype hardware for interfacing with image sensors. Required skills include analog and digital circuit design, soldering, PCB layout, embedded software development and debugging. Familiarity with digital imaging and image sensors, as well as experience with VHDL and FPGAs is preferred. Candidates working towards MS and PhD degrees in electrical engineering are encouraged to apply. The duration of internship is expected to be three months.

    • Research Area: Multimedia
    • Host: Petros Boufounos
    • Apply Now
  • MM1123: Source separation

    • We are seeking graduate students interested in helping advance the field of source separation, speech enhancement in extreme environments, and audio reconstruction (inpainting, bandwidth extension, synthesis), using the latest developments in deep learning. The intern will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for publication. The ideal candidate would be a senior Ph.D. student with experience in audio signal processing, speech modeling, probabilistic modeling and deep learning. The duration of the internship is expected to be 3-6 months. Positions are currently available through Summer 2018.

    • Research Area: Multimedia
    • Host: Jonathan Le Roux
    • Apply Now
  • MM1146: Imaging Through Scattering Media

    • The Computational Sensing team at MERL is seeking a motivated and qualified individual to conduct research on computational imaging through scattering media 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, blind inverse scattering, 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: Hassan Mansour
    • Apply Now