Internship Openings

5 / 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.


  • CV1038: Health Monitoring from Video

    • MERL is seeking a highly motivated intern to conduct original research in the area of health monitoring from video. The successful candidate will collaborate with MERL researchers to derive and implement new models, collect data, conduct experiments, and prepare results for publication. The ideal candidate would be a senior PhD student in computer vision with experience in face alignment and tracking, signal processing, machine learning, and health monitoring. Strong programming skills (C/C++, Matlab, etc.) are expected.

    • Research Area: Computer Vision
    • Host: Tim Marks
    • Apply Now
  • CV1039: Vision-Based Road Condition Estimation

    • MERL is seeking a highly motivated intern to conduct original research in the area of vision-based road condition estimation. The successful candidate will collaborate with MERL researchers to derive and implement new models, collect data, conduct experiments, and prepare results for publication. The ideal candidate would be a senior PhD student in computer vision with experience in convolutional neural networks (e.g., for semantic segmentation), camera geometry, and machine learning. Strong programming skills (C/C++, Matlab, etc.) are expected.

    • Research Area: Computer Vision
    • Host: Tim Marks
    • Apply Now
  • CV1036: Real-Time Face Alignment

    • MERL is seeking a highly motivated intern to conduct original research in the area of face alignment (determining the locations of multiple facial landmarks) from images and video. The successful candidate will collaborate with MERL researchers to derive and implement new models, conduct experiments, and prepare results for publication. This project will also focus on tailoring algorithms to a real-world product. The ideal candidate would be a senior PhD student in computer vision with experience in face alignment, tracking, 3D head pose estimation, and machine learning. Strong C/C++ programming and Matlab experience are expected. Duration: 3-6 months. Starting date can be as early as January 2017.

    • Research Area: Computer Vision
    • Host: Tim Marks
    • Apply Now
  • CV1037: Face Alignment

    • MERL is seeking a highly motivated intern to conduct original research in the area of face alignment (determining the locations of multiple facial landmarks) from images and video. The successful candidate will collaborate with MERL researchers to derive and implement new models, conduct experiments, and prepare results for publication. This project will also focus on tailoring algorithms to a real-world product. The ideal candidate would be a senior PhD student in computer vision with experience in face alignment, tracking, 3D head pose estimation, and machine learning. Strong C/C++ programming and Matlab experience are expected. Duration: 3-6 months. Expected starting date: May/June 2017.

    • Research Area: Computer Vision
    • Host: Tim Marks
    • Apply Now
  • CV1032: Computer Vision AI

    • MERL is looking for a highly motivated intern to work in the area Machine Learning/Deep Learning. The candidate will collaborate with MERL researchers to develop and implement prototypes. The ideal candidate would be a PhD computer vision student with a strong background in computer vision and machine learning. Knowledge of C++ and Matlab are expected. The duration is 3 months. The start date is flexible.

    • Research Area: Computer Vision
    • Host: Jeroen van Baar
    • Apply Now