Internship at MERL

MERL's internship program gives students excellent opportunities to work in an industrial research lab environment side-by-side with world-class researchers.



Program Overview

The internship program at MERL emphasizes close collaboration with a particular researcher or members of a small team. Primary areas of work include:

  1. Artificial Intelligence including:
    1. Machine Learning
    2. Computer Vision
    3. Speech Recognition
    4. Acoustic Analysis
    5. Data Analytics
  2. Cyber-Physical Systems including:
    1. Signal Processing
    2. Digital & Optical Communications
    3. Multi-Physical Modeling
    4. Planning, Optimization & Control
    5. Dynamical Systems
  3. Design of Algorithms and Semiconductor Devices

The primary intent of MERL's internship program is to provide interns with experiences that help them enhance and accelerate their professional career, while contributing to new or ongoing initiatives at MERL. Interns are exposed to relevant industrial problems ranging from speculative and exploratory research to more practical engineering tasks. Interns have a chance to become familiar with the open research culture at MERL, produce publishable work, and develop an appreciation for how breakthrough research makes an impact on future products.

MERL considers graduate students from all over the world. As many of our projects benefit from specialized knowledge in a given field, graduate students pursuing a Ph.D. typically fill the majority of internship openings.

Set Your Own Path - Internships at MERL

The duration of a typical internship varies from 3 months to 1 year, with the majority of interns being employed during the summer months. As the summer is a very busy time, we encourage applications for non-summer internships and also prefer early applications for summer internships. Hiring decisions for the summer are typically made around January/February to allow enough time for any necessary paperwork (such as visa applications or other work eligibility forms) to be completed.

Boston is a fantastic city with one of the largest student populations of any city in the US. There are many social and leisure activities to get involved in, and no shortage of things to do during your stay. With close proximity to major universities such as MIT and Harvard, there are also many chances to attend seminars and lectures by well-known experts in various fields. During the summer, MERL organizes a number of social activities for interns. Some past activities included BBQ outings, whale watching and movie nights.

The key benefits of interning at MERL:

  1. Experience: At MERL, you work closely with top researchers and participate in a lab-wide R&D culture with a unique mix of curiosity-driven research and market-oriented prototyping.
  2. Publication: MERL is an open research lab with a strong tradition of publication in high-impact peer-reviewed venues. Internships typically aim at producing publication-worthy results and interns are co-authors on many papers each year.
  3. Compensation: MERL offers competitive salaries based on relevant education, skills, and work experience.
  4. Perks: MERL provides relocation assistance including travel costs; subsidies for commuting costs; and entertainment events for interns to get to know Boston and each other.
  5. Networking: Interns are encouraged to network with MERL's research staff, fellow interns, and faculty at local universities. Weekly socials and seminars provide many venues.
  6. Opportunity: Many MERL interns have gone on to distinguished careers at MERL. MERL research hosts have often provided letters of reference supporting their ex-interns' candidacies for jobs, fellowships, and tenure.
View Internship Openings
  • Recent Publications with MERL Interns

    Publications are an important output of MERL's research, and internships often lead to one or more publications. Below is a sample listing of some recent publications that include interns as co-authors. Please visit our publications page for a complete listing of MERL papers.

    •  Cherian, A., Wang, J., Hori, C., Marks, T., "Spatio-Temporal Ranked-Attention Networks for Video Captioning", IEEE Winter Conference on Applications of Computer Vision (WACV), February 2020.
      BibTeX Download PDFAbout TR2020-016
      • @inproceedings{Cherian2020feb,
      • author = {Cherian, Anoop and Wang, Jue and Hori, Chiori and Marks, Tim},
      • title = {Spatio-Temporal Ranked-Attention Networks for Video Captioning},
      • booktitle = {IEEE Winter Conference on Applications of Computer Vision (WACV)},
      • year = 2020,
      • month = feb,
      • url = {https://www.merl.com/publications/TR2020-016}
      • }
    •  Moritz, N., Hori, T., Le Roux, J., "Streaming End-to-End Speech Recognition with Joint CTC-Attention Based Models", IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), ISBN: 978-1-7281-0305-1, December 2019, pp. 936-943.
      BibTeX Download PDFAbout TR2019-159
      • @inproceedings{Moritz2019dec,
      • author = {Moritz, Niko and Hori, Takaaki and Le Roux, Jonathan},
      • title = {Streaming End-to-End Speech Recognition with Joint CTC-Attention Based Models},
      • booktitle = {IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)},
      • year = 2019,
      • pages = {936--943},
      • month = dec,
      • isbn = {978-1-7281-0305-1},
      • url = {https://www.merl.com/publications/TR2019-159}
      • }
    •  Chang, X., Zhang, W., Qian, Y., Le Roux, J., Watanabe, S., "MIMO-Speech: End-to-End Multi-Channel Multi-Speaker Speech Recognition", IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), ISBN: 978-1-7281-0305-1, December 2019, pp. 237-144.
      BibTeX Download PDFAbout TR2019-157
      • @inproceedings{Chang2019dec,
      • author = {Chang, Xuankai and Zhang, Wangyou and Qian, Yanmin and Le Roux, Jonathan and Watanabe, Shinji},
      • title = {MIMO-Speech: End-to-End Multi-Channel Multi-Speaker Speech Recognition},
      • booktitle = {IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)},
      • year = 2019,
      • pages = {237--144},
      • month = dec,
      • isbn = {978-1-7281-0305-1},
      • url = {https://www.merl.com/publications/TR2019-157}
      • }
    •  Karita, S., Chen, N., Hayashi, T., Hori, T., Inaguma, H., Jiang, Z., Someki, M., Enrique Yalta Soplin, N., Yamamoto, R., Wang, X., Watanabe, S., Yoshimura, T., Zhang, W., "A Comparative Study on Transformer Vs RNN in Speech Applications", IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), December 2019.
      BibTeX Download PDFAbout TR2019-158
      • @inproceedings{Karita2019dec,
      • author = {Karita, Shigeki and Chen, Nanxin and Hayashi, Tomoki and Hori, Takaaki and Inaguma, Hirofumi and Jiang, Ziyan and Someki, Masao and Enrique Yalta Soplin, Nelson and Yamamoto, Ryuichi and Wang, Xiaofei and Watanabe, Shinji and Yoshimura, Takenori and Zhang, Wangyou},
      • title = {A Comparative Study on Transformer Vs RNN in Speech Applications},
      • booktitle = {IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)},
      • year = 2019,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2019-158}
      • }
    •  Jha, D., Kolaric, P., Romeres, D., Raghunathan, A., Benosman, M., Nikovski, D.N., "Robust Optimization for Trajectory-Centric Model-based Reinforcement Learning", NeurIPS Workshop on Safety and Robustness in Decision Making, December 2019.
      BibTeX Download PDFAbout TR2019-156
      • @inproceedings{Jha2019dec2,
      • author = {Jha, Devesh and Kolaric, Patrik and Romeres, Diego and Raghunathan, Arvind and Benosman, Mouhacine and Nikovski, Daniel N.},
      • title = {Robust Optimization for Trajectory-Centric Model-based Reinforcement Learning},
      • booktitle = {NeurIPS Workshop on Safety and Robustness in Decision Making},
      • year = 2019,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2019-156}
      • }
    •  Menner, M., Berntorp, K., Di Cairano, S., "Inverse Learning for Human-Adaptive Motion Planning", IEEE Conference on Decision and Control (CDC), December 2019.
      BibTeX Download PDFAbout TR2019-146
      • @inproceedings{Menner2019dec,
      • author = {Menner, Marcel and Berntorp, Karl and Di Cairano, Stefano},
      • title = {Inverse Learning for Human-Adaptive Motion Planning},
      • booktitle = {IEEE Conference on Decision and Control (CDC)},
      • year = 2019,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2019-146}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "DNN-based Overhead Reduction for High-Quality Soft Delivery", IEEE Global Communications Conference (GLOBECOM), December 2019.
      BibTeX Download PDFAbout TR2019-133
      • @inproceedings{Fujihashi2019dec2,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
      • title = {DNN-based Overhead Reduction for High-Quality Soft Delivery},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2019,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2019-133}
      • }
    •  Fujihashi, T., Koike-Akino, T., Watanabe, T., Orlik, P.V., "DNN-based Simultaneous Screen-to-Camera and Screen-to-Eye Communications", IEEE Global Communications Conference (GLOBECOM), December 2019.
      BibTeX Download PDFAbout TR2019-132
      • @inproceedings{Fujihashi2019dec,
      • author = {Fujihashi, Takuya and Koike-Akino, Toshiaki and Watanabe, Takashi and Orlik, Philip V.},
      • title = {DNN-based Simultaneous Screen-to-Camera and Screen-to-Eye Communications},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2019,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2019-132}
      • }
    •  Jespersen, M.H., Pajovic, M., Koike-Akino, T., Wang, Y., Popovski, P., Orlik, P.V., "Deep Learning for Synchronization and Channel Estimation in NB-IoT Random Access Channel", IEEE Global Communications Conference (GLOBECOM), December 2019.
      BibTeX Download PDFAbout TR2019-140
      • @inproceedings{Jespersen2019dec,
      • author = {Jespersen, Mads Helge and Pajovic, Milutin and Koike-Akino, Toshiaki and Wang, Ye and Popovski, Petar and Orlik, Philip V.},
      • title = {Deep Learning for Synchronization and Channel Estimation in NB-IoT Random Access Channel},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2019,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2019-140}
      • }
    •  Liu, B., Wei, Z., Yuan, J., Pajovic, M., "Deep Learning Assisted User Identification in Massive Machine-Type Communications", IEEE Global Communications Conference (GLOBECOM), December 2019.
      BibTeX Download PDFAbout TR2019-134
      • @inproceedings{Liu2019dec,
      • author = {Liu, Bryan and Wei, Zhiqiang and Yuan, Jinhong and Pajovic, Milutin},
      • title = {Deep Learning Assisted User Identification in Massive Machine-Type Communications},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2019,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2019-134}
      • }
    •  Tanovic, O., Ma, R., Orlik, P.V., Megretski, A., "Optimal Power Encoding of OFDM Signals in All-Digital Transmitters", IEEE Global Communications Conference (GLOBECOM), December 2019.
      BibTeX Download PDFAbout TR2019-137
      • @inproceedings{Tanovic2019dec,
      • author = {Tanovic, Omer and Ma, Rui and Orlik, Philip V. and Megretski, Aleksandre},
      • title = {Optimal Power Encoding of OFDM Signals in All-Digital Transmitters},
      • booktitle = {IEEE Global Communications Conference (GLOBECOM)},
      • year = 2019,
      • month = dec,
      • url = {https://www.merl.com/publications/TR2019-137}
      • }
    •  Bhamidipati, S., Kim, K.J., Sun, H., Orlik, P.V., Zhang, J., "Joint BP and RNN for Resilient GPS Timing Against Spoofing Attacks" in Social Informatics and Telecommunications Engineering, Han S., Ye L., Meng W., Eds., DOI: 10.1007/978-3-030-22971-9_17, vol. 287 of Lecture Notes of the Institute for Computer Sciences, Springer, Cham, November 2019.
      BibTeX Download PDFAbout TR2019-131
      • @incollection{Bhamidipati2019nov,
      • author = {Bhamidipati, Sriramya and Kim, Kyeong Jin and Sun, Hongbo and Orlik, Philip V. and Zhang, Jinyun},
      • title = {Joint BP and RNN for Resilient GPS Timing Against Spoofing Attacks},
      • booktitle = {Social Informatics and Telecommunications Engineering},
      • year = 2019,
      • editor = {Han S., Ye L., Meng W.},
      • volume = 287,
      • series = {Lecture Notes of the Institute for Computer Sciences},
      • month = nov,
      • publisher = {Springer, Cham},
      • doi = {10.1007/978-3-030-22971-9_17},
      • url = {https://www.merl.com/publications/TR2019-131}
      • }
    •  Imamura, M., Inoue, M., Terada, M., Nikovski, D.N., "Time Series Segmentation with Leg Analysis for Human Motion Analysis", International Workshop on Informatics, October 2019.
      BibTeX Download PDFAbout TR2019-150
      • @inproceedings{Imamura2019oct,
      • author = {Imamura, Makoto and Inoue, Mao and Terada, Masahiro and Nikovski, Daniel N.},
      • title = {Time Series Segmentation with Leg Analysis for Human Motion Analysis},
      • booktitle = {International Workshop on Informatics},
      • year = 2019,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2019-150}
      • }
    •  Wichern, G., McQuinn, E., Antognini, J., Flynn, M., Zhu, R., Crow, D., Manilow, E., Le Roux, J., "WHAM!: Extending Speech Separation to Noisy Environments", Interspeech, DOI: 10.21437/Interspeech.2019-2821, September 2019, pp. 1368-1372.
      BibTeX Download PDFAbout TR2019-099
      • @inproceedings{Wichern2019sep,
      • author = {Wichern, Gordon and McQuinn, Emmett and Antognini, Joe and Flynn, Michael and Zhu, Richard and Crow, Dwight and Manilow, Ethan and Le Roux, Jonathan},
      • title = {WHAM!: Extending Speech Separation to Noisy Environments},
      • booktitle = {Interspeech},
      • year = 2019,
      • pages = {1368--1372},
      • month = sep,
      • doi = {10.21437/Interspeech.2019-2821},
      • url = {https://www.merl.com/publications/TR2019-099}
      • }
    See All MERL Publications