Internship Openings

16 / 62 Intern positions were found.

Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL's employees to perform their job duties may result in discipline up to and including discharge.

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).


  • CV1302: Health Monitoring from Video

    • MERL is seeking a highly motivated intern to conduct original research in the area of monitoring a person's vital signs (e.g., heart rate and heart rate variability) 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++, Python, Matlab, etc.) are expected.

    • Research Areas: Computer Vision, Signal Processing
    • Host: Tim Marks
    • Apply Now
  • SP1306: Intelligent Brain-Machine Interface

    • The Signal Processing group at MERL is seeking a highly motivated, qualified individual to join our 3-month internship program of research on stressless man-machine interface with multi-modal bio-sensors. The ideal candidate is expected to possess an excellent background in brain-machine interfaces, data analytics, machine learning, sensor design, electro-magnetic analysis, augmented reality, and sensing algorithms. Candidates who hold a PhD or in their senior years of a Ph.D. program are encouraged to apply.

    • Research Areas: Signal Processing
    • Host: Toshi Koike-Akino
    • Apply Now
  • SP1250: Extended Object Tracking for Autonomous Driving

    • The Signal Processing (SP) group at MERL is seeking a highly motivated intern to conduct fundamental research in automotive radar-based extended object tracking (EOT) for autonomous driving. Previous experience on radar-based (point and extended) object tracking (extended/unscented Kalman Filtering, interacting multiple model (IMM) tracking, probability hypothesis density (PHD) filtering, etc.), data association, and jointly data association and prediction/filtering (joint probability data association (JPDA), multi-hypothesis tracking (MHT) is highly preferred. Knowledge about antenna beamforming, target detection, sensor fusion, MIMO radar, waveform modulation (FMCW and PMCW) is a plus. Familiarity with commercial automotive radar platforms is an asset. The intern will collaborate with a small group of MERL researchers to develop novel algorithms, conduct field measurements, and prepare results for patents and publication. Senior Ph.D. students with research focuses on signal processing, machine learning, optimization, applied mathematics, or related areas are encouraged to apply. The expected duration of the internship is 3 months with flexible start date.

    • Research Areas: Computational Sensing, Machine Learning, Signal Processing
    • Host: Perry Wang
    • Apply Now
  • SP1180: Advanced Phased Array Antenna

    • MERL is looking for a highly motivated, and qualified individual to join our internship program of advanced phased array research. The ideal candidate should be a senior Ph.D. student with rich experience in beam forming technologies. Knowledge of wireless communication, transceiver architecture, and digital signal processing, FPGA and/or Matlab programming skills are required. RF circuits knowledge will be a plus. Duration is 3-6 months.

    • Research Areas: Communications, Signal Processing
    • Host: Rui Ma
    • Apply Now
  • SP1307: Vehicular traffic environment sensing

    • MERL is seeking a highly motivated, qualified intern to join a three month internship program. The ideal candidate will be expected to carry out research on environmental sensing in high frequency bands. The candidate is expected to develop innovative sensing technologies. Candidates should have strong knowledge about neural network and learning techniques, such as machine learning, deep learning, shallow learning, and distributed learning. In addition, understanding of spectrum sensing and wireless communications technologies is necessary. Proficient programming skills with Python, Matlab, and C++, and strong mathematical analysis will be additional assets to this position. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply.

    • Research Areas: Signal Processing
    • Host: K.J. Kim
    • Apply Now
  • SP1252: Network Security of IoT

    • MERL is seeking a highly motivated, qualified intern to join a three month internship program. The ideal candidate will be expected to carry out research on network security for Internet of Things (IoT). The candidate is expected to develop innovative detection and mitigation technologies for abnormal security attack. The candidates should have strong knowledge about neural network and learning techniques, such as machine learning, deep learning, shallow learning, and distributed learning. In addition, understanding of wireless communications technologies, proficient programming skills with Python, Matlab, and C++, and strong mathematical analysis will be additional assets to this position. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply.

    • Research Areas: Signal Processing
    • Host: K.J. Kim
    • Apply Now
  • SP1266: Multi-spectral image enhancement

    • MERL is looking for a self-motivated intern to work on multi-spectral image enhancement. The ideal candidate would be a senior Ph.D. student with strong background in computer vision and image processing. Experience in low light image denoising and image registration is desirable. Proficiency in MATLAB and Python programming is necessary. The intern is expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. Start date is flexible.

    • Research Areas: Computational Sensing, Computer Vision, Signal Processing
    • Host: Dehong Liu
    • Apply Now
  • SP1292: Coherent Optical Imaging

    • MERL is seeking an intern to work on coherent optical imaging. The ideal candidate would be an experienced PhD student or post-graduate researcher working in coherent imaging. The candidate should have a detailed knowledge of optical interferometry and imaging with a focus on either optical coherence tomography, optical coherence microscopy or FMCW LIDAR. Strong programming skills in Matlab are essential. Experience of working in an optical lab environment would be advantageous. Duration is 3 to 6 months.

    • Research Areas: Signal Processing
    • Host: David Millar
    • Apply Now
  • SP1267: Signal spectrum analysis

    • MERL is looking for a self-motivated intern to work on signal spectrum analysis. The ideal candidate would be a senior Ph.D. student with strong background in signal processing, compressive sensing, and mathematics. Proficiency in MATLAB and Python programming is necessary. Experience in analyzing real experimental data or detecting weak signal in noisy environment is a great asset. The intern is expected to collaborate with MERL researchers to develop algorithms and prepare manuscripts for scientific publications. Start date is flexible.

    • Research Areas: Computational Sensing, Optimization, Signal Processing
    • Host: Dehong Liu
    • Apply Now
  • SP1254: Advanced computational sensing technologies

    • The Computational Sensing team at MERL is seeking motivated and qualified individuals to develop computational imaging algorithms for a variety of sensing applications. Ideal candidates should be Ph.D. students and have solid background and publication record in any of the following, or related areas: imaging inverse problems, large-scale optimization, blind inverse scattering, radar/lidar/sonar imaging, or wave-based inversion. Experience with experimentally measured data is desirable. Publication of the results produced during our internships is expected. The duration of the internships is anticipated to be 3-6 months. Start date is flexible.

    • Research Areas: Computational Sensing, Machine Learning, Signal Processing
    • Host: Hassan Mansour
    • Apply Now
  • SP1155: Coexistence of the Heterogeneous Wireless Technologies

    • MERL is seeking a highly motivated, qualified intern to join the Electronics and Communications group for a three month internship program. The ideal candidate will be expected to carry out research on coexistence of the heterogeneous wireless technologies in the Sub-1 GHz (S1G) band. The candidate is expected to develop innovative coexistence technology for IEEE 802.15.4g to mitigate interference caused by other S1G technologies such as IEEE 802.11ah, LoRa and SigFox. The candidates should have knowledge of 802.15.4g and 802.11ah protocols. Additionally, the candidate should also be familiar with NS3 simulators. Candidates in their junior or senior years of a Ph.D. program are encouraged to apply.

    • Research Areas: Communications, Signal Processing
    • Host: Jianlin Guo
    • Apply Now
  • SP1242: Remote Sensing Data Compression

    • MERL is seeking an intern for an immediate opening, to research and develop methods for remote sensing data and image compression. The ideal candidate would have a solid background related to image or signal compression, signal processing, and information theory. The applicant should also have experience with programming in at least one of C/C++, Matlab, or Python. Experience with remote sensing data processing, such as SAR image formation, is a plus, as is familiarity with distributed coding, entropy coding, and quantization. Duration of internship is 3-6 months.

    • Research Areas: Communications, Computational Sensing, Computer Vision, Signal Processing
    • Host: Petros Boufounos
    • Apply Now
  • SP1158: Coherent optical transmission systems

    • MERL is seeking an intern to work on systems and subsystems for coherent optical fiber transmission. The ideal candidate would be an experienced PhD student or post-graduate researcher working in optical communications. The candidate should have a detailed knowledge of optical communications systems at the physical layer and digital signal processing for digital coherent communication, with a focus on either optical fiber communication or free space optical communication. Strong programming skills in Matlab are essential. Experience of working in a lab environment would be advantageous. Duration is 3 to 6 months.

    • Research Areas: Communications, Signal Processing
    • Host: David Millar
    • Apply Now
  • CD1258: Algorithms for GNSS localization

    • The Control and Dynamical Systems (CD) group at MERL is seeking a highly motivated intern to work on GNSS Positioning and localization. Previous experience with at least some of the GNSSs, particle filtering, interacting multiple model filtering, Kalman-type filtering, and ambiguity resolution is highly desirable. Working knowledge of C/C++ is required, and previous experience with GNSS packages such as RTKLib is highly desired. PhD and senior Master students meeting the above requirements are welcome to apply. The expected duration of the internship is 3-6 months with flexible start date.

    • Research Areas: Control, Dynamical Systems, Signal Processing
    • Host: Stefano Di Cairano
    • Apply Now
  • CD1259: Cyberphysical Automotive Systems

    • The Control and Dynamical Systems (CD) group at MERL is seeking a highly motivated intern to conduct research on cyber-physical vehicle systems. The research domain includes driving assistance systems, driver-vehicle interaction, connected vehicles, and cyber-security for automotive control systems. Experience with one among particle filtering, model predictive control, constrained control, distributed control is highly desired. Working knowledge of Matlab, Simulink, C/C++, rapid prototyping systems (dSPACE), and vehicle dynamics simulators is required. Experience with CAN bus is a plus. The expected duration of the internship is 3-6 months with flexible start date.

    • Research Areas: Artificial Intelligence, Control, Signal Processing
    • Host: Stefano Di Cairano
    • Apply Now
  • CD1295: Modeling and data-assimilation of atmospheric flows