Internship Openings

9 / 76 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.


  • CV1199: Robotic manipulation and motion synthesis

    • The Computer Vision group at MERL is offering and internship opportunity to a highly skilled graduate student to work on robotic manipulation. Candidates should have a solid understanding of kinematics, motion synthesis and computational geometry. A fundamental background in machine learning is preferred. The intern is expected to develop and deploy algorithms for robotic manipulation on physical robots. Strong programming skills are required, including ROS and C++. Duration and start dates are flexible.

    • Research Area: Computer Vision
    • Host: Radu Corcodel
    • Apply Now
  • CV1160: Active transfer learning

    • MERL's Computer Vision group is seeking a highly motivated intern for performing research in active learning and transfer learning. The ideal candidate is working towards a Ph.D. in computer science, with a focus on machine learning (for computer vision). We are looking for candidates that are experienced in deep learning. Strong programming skills and knowledge of at least one deep learning library required. We strongly encourage to seek publication of the results obtained during the internship. Duration and start date are flexible.

    • Research Area: Computer Vision
    • Host: Jeroen van Baar
    • Apply Now
  • CV1144: Person re-identification

    • MERL is searching for a graduate student to work on algorithms for person re-identification. Ideal candidates will have a strong background in computer vision and machine learning and good programming skills. The intern will be expected to design and implement new algorithms for identifying people in videos, as well as conduct experiments and prepare results for publication. Familiarity with recent work on person re-identification as well as experience with a deep learning package is a plus. The expected duration is 3 months starting in summer 2018.

    • Research Area: Computer Vision
    • Host: Mike Jones
    • Apply Now
  • CV1143: Object Detection in Videos

    • MERL is searching for a graduate student to work on algorithms for object detection in videos. Ideal candidates will have a strong background in computer vision and machine learning and good programming skills. The intern will be expected to design and implement new algorithms for detecting objects in videos, as well as conduct experiments and prepare results for publication. Familiarity with recent work on object detection as well as experience with a deep learning package is a plus. The expected duration is 3 months starting in summer 2018.

    • Research Area: Computer Vision
    • Host: Mike Jones
    • Apply Now
  • CV1196: Generative Adversarial Networks (GANs) for Learning and Inference

    • GANs (generative adversarial networks) and related methods (such as variational autoencoders) have generated much excitement for their ability to synthesize images and data that appear remarkably realistic. MERL is seeking a highly motivated intern to conduct original research in the area of generative adversarial networks with the goal of improving performance on real-world tasks. The successful candidate will collaborate with MERL researchers to design and implement new models, conduct experiments, and prepare results for publication. The ideal candidate would be a senior PhD student in computer vision with experience in GANs and related deep learning methods, as well as strong general knowledge in machine learning. Strong programming skills and previous experience coding GANs are expected. Duration: 3 months.

    • Research Area: Computer Vision
    • Host: Tim Marks
    • Apply Now
  • CV1142: Video anomaly detection

    • MERL is searching for a graduate student to work on algorithms for anomaly detection in videos. Ideal candidates will have a strong background in computer vision and machine learning and good programming skills. The intern will be expected to design and implement new algorithms for detecting anomalous behavior in videos, as well as conduct experiments and prepare results for publication. Familiarity with recent work on video anomaly detection as well as experience with a deep learning package is a plus. The expected duration is 3 months starting in summer 2018.

    • Research Area: Computer Vision
    • Host: Mike Jones
    • Apply Now
  • CV1178: Visual Content Synthesis

    • We are looking for a highly motivated intern to work on developing deep learning algorithms for visual content generation. Successful candidate will collaborate with MERL researchers to design, analyze, and implement new algorithms, conduct experiments, and prepare results for publications. The candidate should have a strong background in computer vision and machine learning fundamentals. Prior experience and a good knowledge of the recent trends in deep learning methods is required. Familiarity with methods such as generative adversarial networks or variational autoencoders is a plus. The candidate should be comfortable implementing the developed algorithms in Python and should have prior experience working with frameworks such as Caffe/TensorFlow/Keras/Theano. The candidate is expected to be a PhD student in Computer Science, Electrical Engineering, or a related field, with relevant publication record. Interested candidates are encouraged to apply with their recent CV with a list of relevant publications and links to Github repositories (if any)

    • Research Area: Computer Vision
    • Host: Anoop Cherian
    • Apply Now
  • CV1161: Humanlike Artificial Intelligence

    • MERL's Computer Vision group is seeking a highly motivated intern for performing research in machine learning which more closely model how people learn tasks and use learned tasks as building blocks for learning and performing other related tasks. The ideal candidate is working towards a Ph.D. in computer science, with a focus on machine learning (for computer vision). We are looking for candidates that are experienced in deep learning. Strong programming skills and knowledge of at least one deep learning library required. We strongly encourage to seek publication of the results obtained during the internship. Duration and start date are flexible.

    • Research Area: Computer Vision
    • Host: Jeroen van Baar
    • Apply Now
  • CV1138: SLAM and 3D Reconstruction

    • MERL is looking for a highly motivated intern to work on SLAM and 3D reconstruction problems. The successful candidate will collaborate with MERL researchers to develop and implement new algorithms, conduct experiments, and prepare results for publication. The ideal candidate would be a senior PhD student in computer vision or robotics with experience in SLAM and 3D geometric vision algorithms. Strong programming skills in C++ are expected. The expected duration is 3 to 6 months and the start date is flexible.

    • Research Area: Computer Vision
    • Host: Yuichi Taguchi
    • Apply Now