MERL Intern Openings
Below is a listing of our current internship openings. To apply for a specific position, please send your resume and cover letter by email to the contact listed for the particular project that interests you. If you are applying for multiple projects, please submit your application to each contact. Please indicate the internship Position ID in the subject line of your email and in the cover letter.
Prospective interns are also invited to browse our published research to identify specific topics of interest. Feel free to contact researchers working in these areas regarding possible internship or employment opportunities.
Mitsubishi Electric Research Laboratories, Inc. is an Equal Opportunity Employer.
Research Area: Digital Communications
MERL is looking for a qualified intern to conduct research in the area of applied electromagnetics. A solid background in electromagnetic fields, computational electromagnetic methods, and microwave engineering is required. An ideal candidate should have extensive experience with electromagnetic field propagation analysis, novel electromagnetic material and device design, numerical simulations, experiment design and measurements. Experience with advanced electromagnetic materials such as metamaterials is a plus. The duration of the internship is expected to be 3 months. Ph.D. students in electrical engineering or physics with related background are encouraged to apply.
Position ID: DC684
Contact: Bingnan Wang
Email:
MERL is seeking a highly motivated, qualified individual to join the Digital Communications group for a 3 month internship program. The ideal candidate should be able to do research and develop optimized IPv6 network layer protocols for packet transmission in large scale low power and lossy networks. The candidate must understand network layer protocols, especially IETF ROLL and 6LowPAN protocols. Candidate must also be familiar with NS2 or NS3 simulators. Knowledge or understanding MAC layers and standard wireless networks such as IEEE 802.15.4 and ZigBee will be a bonus. Candidates in their senior years of a Ph.D. program are encouraged to apply.
Position ID: DC642
Contact: Jianlin Guo
Email:
The Digital Communications Group is seeking a highly motivated, qualified individual to join our internship program and conduct research in an area of GPS signal processing. An ideal candidate should have solid background in communications and signal processing. Knowledge of/experience in the areas of nonlinear estimation theory, optimization and wide area augmentation system (WAAS) is a plus.
Proficiency in MATLAB and C/C++ is required. Senior Ph.D. students in engineering or related fields are encouraged to apply.
Position ID: DC656
Contact: Kyeong Jin Kim
Email:
The Digital Communications Group is seeking a highly motivated, qualified individual to join our fall/winter internship program and conduct research in the area of wireless vehicular communications. The ideal candidate should have solid background in communications/coding theory and signal processing with an emphasis on MIMO theory. In addition, knowledge of equalization algorithms, non-coherent MIMO systems, space-time modulations and forward error correction would be a plus. Experience with C/C++ is necessary. Senior Ph.D. students in engineering or related fields are encouraged to apply.
Position ID: DC628
Contact: Toshiaki Koike-Akino
Email:
The Digital Communications group at MERL is seeking a highly motivated, qualified individual to join our 3 month internship program of research on error correction coding for digital communications. The ideal candidate is expected to possess an excellent background in channel coding theory, coded modulations, and convex programming. Strong C/C++ skill is required. Candidates who hold a PhD or in their senior years of a Ph.D. program are encouraged to apply.
Position ID: DC647
Contact: Toshiaki Koike-Akino
Email:
The digital communications group at MERL is seeking a highly motivated, qualified individual to join our 3 month internship program and conduct research in developing optimization algorithms for wireless communications antenna design. The ideal candidate is expected to possess an excellent background in numerical optimization techniques, antenna design, and digital signal processing. Strong C/C++ skill is required. Candidates who hold a PhD or in their senior years of a Ph.D. program are encouraged to apply.
Position ID: DC646
Contact: Toshiaki Koike-Akino
Email:
MERL is seeking a highly motivated, qualified individual to join our internship program and conduct research in the area of optical devices for communications. The ideal candidate should have a strong background in the simulation and design of active and passive devices for optical communication, as well as programming of the simulation codes. Experience in Matlab, C++, FEM, BPM, FDTD, FIMMWAVE, VPI, optimization algorithms, and device fabrication/measurements would be considered an asset. Candidates who hold a Ph.D. or in their senior years of a Ph.D. program are encouraged to apply.
Position ID: DC641
Contact: Keisuke Kojima
Email:
MERL is seeking a highly motivated individual for a 3 month internship working on network architectures for high capacity optical fiber communications technologies. The ideal candidate should be in senior years of a PhD program working in the fields of optical communications, data networking or related fields. Skills required: Knowledge of optical communications systems at the network layer, including data network technologies such as OTN, SONET, MPLS, TCP/IP and Ethernet. Experience in C/C++ and Matlab programming would be considered an asset.
Position ID: DC682
Contact: Kieran J. Parsons
Email:
The Digital Communications Group is seeking a highly motivated, qualified individual to join our internship program and conduct research in the area of reliable wireless data communications. The ideal candidate should have solid background in communications and signal processing. In addition, knowledge of/experience in the areas of spectrum sensing, cognitive radio and interference mitigation techniques in wireless networks, would be an asset. Experience with MATLAB, C/C++ is required. Senior Ph.D. students in engineering or related fields are encouraged to apply.
Position ID: DC653
Contact: Philip V. Orlik
Email:
The Digital Communications Group is seeking a highly motivated, qualified individual to join our internship program and conduct research in the area of Machine to Machine (M2M) wireless communications. The ideal candidate should have solid background in communications/information theory and signal processing. In addition, knowledge of interference mitigation techniques in wireless networks, large dimensional MIMO detection algorithms and/or forward error correction would be an asset. Experience with MATLAB, C/C++ is necessary. Senior Ph.D. students in engineering or related fields are encouraged to apply.
Position ID: DC663
Contact: Philip V. Orlik
Email:
Mitsubishi Electric Research Lab is looking for an intern to work on the research area of advanced radio transmitter. The ideal candidate should be a senior Ph.D. student with good experience in microwave/RF active circuits and/or module design. Familiarity with ADS for schematic, layout design and momentum simulation is required. Deep knowledge of power amplifier design, transistor modeling and device technology would be an asset. The duration of the internship is expected to be 3 months.
Position ID: DC649
Contact: Rui Ma
Email:
MERL is seeking a highly motivated, qualified individual to join our internship program and conduct research in the area of battery modeling. The ideal candidate should have a solid background in control theory and signal processing and also good understanding of electro-chemical dynamics. Proficiency in Matlab is required. Senior Ph.D. students in engineering are encouraged to apply.
Position ID: DC689
Contact: Zafer Sahinoglu
Email:
MERL is seeking a highly motivated, qualified individual to join our internship program and conduct research in the areas of RF sensing and imaging. The ideal candidate should have a solid background in multichannel array processing and detection/estimation theory. Proficiency in Matlab is required. Experience in channel modeling and estimation is a major plus. Senior PhD students in engineering are encouraged to apply.
Research Area: Multimedia
MERL's multimedia group has a 3 month internship opportunity for a qualified candidate to work on new methods for improving the coding efficiency of next-generation video codecs. The ideal candidate will have relevant expertise in lossy or lossless video compression, including mixed-raster or compound image coding, as well as experience with the HEVC or H.264/AVC reference software. Candidates at or beyond the middle of a Ph.D. program are encouraged to apply.
Position ID: MM636
Contact: Robert A. Cohen
Email:
The Speech and Audio group is looking for an intern to work on user interface design and usability evaluation. The ideal candidate would be a graduate student with experience in interface design and GUI implementation. Experience with Java, Python, and/or a speech recognition system would be an asset, as would knowledge in the area of human factors and associated methodologies. The duration of the internship is expected to be 3 months.
Position ID: MM577
Contact: Bret A. Harsham
Email:
MERL is looking for an intern to work on statistical spoken dialog systems. The intern will collaborate with MERL researchers to derive and implement new models and/or optimization methods, conduct experiments, and prepare results for publication. The ideal candidate would be a Ph.D. student working in this area. Desired background would include experience with spoken dialog systems and machine learning for human-system interaction. Experience with dialog data collection would be a plus. The duration of the internship is expected to be 3 months.
Position ID: MM639
Contact: John R. Hershey
Email:
MERL is looking for an intern to work on structured prediction of user activities. The intern will collaborate with MERL researchers to derive and implement new models and/or optimization methods, conduct experiments, and prepare results for publication. The ideal candidate would be a graduate student working in this area. Desired background would include experience with telematics data or related applications, user modeling and optimization, probabilistic modeling, and/or non-parametric inference. The duration of the internship is expected to be 3 months, starting as soon as possible.
Position ID: MM633
Contact: John R. Hershey
Email:
MERL's Multimedia group is seeking highly qualified candidates for a 3-month summer internship involving research in privacy-preserving data mining. The ideal candidate would be well-versed in statistical privacy concepts such as differential privacy. A familiarity with basic machine learning concepts is preferable. The candidate should have a familiarity with programming with MATLAB, C/C++, and a scripting language of his/her choice. Ph.D. students at or beyond the middle of their graduate program are encouraged to apply.
Position ID: MM659
Contact: Shantanu D. Rane
Email:
MERL's Multimedia group is seeking highly qualified candidates for a summer internship involving research in visual inference from images and video. The ideal candidate would be skilled in the fundamental concepts in signal processing and data compression and would have past experience with programming for standardized video codecs such as H.264/AVC or HEVC. Familiarity with recent advances in image retrieval and classification algorithms is preferable. The candidate should be proficient in programming with MATLAB, C/C++ and a scripting language of his/her choice. Ph.D. students at or beyond the middle of their graduate program are encouraged to apply
Position ID: MM671
Contact: Shantanu D. Rane
Email:
MERL is looking for an intern to work on acoustic modeling for robust speech recognition and/or separation using machine learning techniques such as deep learning and/or Bayesian approaches. The intern will collaborate with MERL researchers to derive and implement new models, conduct experiments, and prepare results for publication. The ideal candidate would be a Ph.D. student with experience in speech processing including speech recognition and/or practical machine learning algorithms with related programming skills. The duration of the internship is expected to be 3 months.
Research Area: Data Analytics
The Data Analytics Group at MERL is seeking a qualified and motivated candidate for a summer internship in the area of modeling and control of thermofluid systems. The ideal candidate would have a solid grasp of thermodynamics and fluid mechanics systems based on formal university coursework, as well as hands-on experience with experimental work. Knowledge of advanced control methods, applied mathematics, and nonlinear dynamics. The expected duration of the internship is approximately three months.
Position ID: DA680
Contact: Christopher R. Laughman
Email:
MERL is seeking a highly motivated, qualified intern to assist with research projects in the area of decision analytics. The ideal candidate would have a solid mathematics background, good knowledge of convex (quadratic, semidefinite programming) and nonlinear optimization techniques. Working knowledge of algorithms for convex and nonlinear optimization is preferred. Solid programming skills in C/C++ are also required. Experience working with COIN-OR software such as Ipopt, Bonmin and Couenne would be beneficial. The internship is expected to last approximately 3 months and would preferably start in May.
Research Area: Imaging
Job Description: MERL is seeking highly motivated, qualified applicants in computer vision and related areas for internships lasting 3 to 6 months. MERL's Imaging Group pursues cutting-edge research in computer vision, computational photography, multi-projector systems, image processing, machine learning, 3D graphics and modeling, and related areas. This group applies its specialized knowledge to challenging industrial problems in application areas including robotics, automobiles, medicine, safety and security, retail systems, large and small displays, and building systems. Collaboration with interns is central to our research agenda, and numerous past intern projects have been published in premier conferences (e.g., CVPR, ICCV, ECCV, SIGGRAPH) and journals (e.g., PAMI, IJCV, IJRR).
Responsibilities:- Collaborate with one or more MERL researchers on a specific project to be agreed upon.
- Design, implement, test, and evaluate algorithms to achieve project goals.
- Collaborate in the documentation, publication, and patenting of your project.
- Enrollment in a Ph.D. program in Computer Science, Electrical Engineering, or a related field, preferably in the middle or later years of your Ph.D. program.
- Documented track record of creative innovation and conducting successful research projects, preferably with publications in the specific area of the internship.
- Excellent programming skills (C/C++, Matlab, etc.).
3D Reconstruction and Scene Understanding. Desired areas of expertise: SLAM, motion estimation, 3D registration, stereo depth estimation, Segmentation. Strong C++ programming skills required. Hands-on hardware experience and GPU programming are a plus.
Position ID: IM674
Contact: Yuichi Taguchi
Email:
Multi-modal people tracking. Desired areas of expertise: 2D object tracking, sensor fusion. Strong C++ programming skills are required.
Position ID: IM668
Contact: Tim K. Marks
Email:
Head tracking using a 3D sensor. Desired areas of expertise: 3D object tracking, 3D pose estimation, object detection. Strong C/C++ programming skills are desired.
Research Area: Mechatronics
MERL's Mechatronics group is seeking a highly motivated intern to work on multivariable control of time-varying uncertain systems subject to constraints. The ideal candidate would be in a Ph.D. program in mechanical or electrical engineering, and have background in multivariable control, extremum-seeking control, constrained control and optimization. Strong knowledge of algorithm implementation in MATLAB/Simulink is expected. Hands-on experience of algorithm implementation in C would be a plus. The duration of the internship is expected to be approximately 3 months.
Position ID: ME679
Contact: Daniel J. Burns
Email:
MERL's Mechatronics group is seeking a highly motivated intern to work on vehicle dynamics control. The ideal candidate would be in the middle or second half of a Ph.D. program in mechanical or electrical engineering, and have background in automotive systems and vehicle dynamics and in model based control algorithms. Strong knowledge of algorithm implementation and of vehicle dynamics simulation in Matlab/Simulink and CarSim is expected. Hands-on experience of algorithm implementation in C would be a plus. The duration of the internship is expected to be approximately 3 months.
Position ID: ME661
Contact: Stefano Di Cairano
Email:
MERL's Mechatronics group is seeking a highly motivated intern to work on control of vehicles subject to uncertainty. The ideal candidate would be in the middle or second half of a Ph.D. program in mechanical or electrical engineering, and have background in vehicle dynamics and in model based control algorithms for constrained uncertain systems. Strong knowledge of algorithms implementation and of simulation in Matlab/Simulink is expected. Hands-on experience of algorithm implementation in C would be a plus. The duration of the internship is expected to be approximately 3 months.
Position ID: ME660
Contact: Stefano Di Cairano
Email:
MERL's Mechatronics and Algorithms groups are seeking a highly motivated intern to work on optimization algorithms for real-time high rate model predictive control. The ideal candidate would be in the middle or second half of a Ph.D. program in mechanical, electrical, chemical engineering, or operation research, and have background in convex constrained optimization, numerical analysis, and optimization-based control (e.g., MPC). Strong knowledge of algorithms analysis, and algorithms implementation in Matlab is expected. Hands-on experience of algorithm implementation in C would be a plus. The duration of the internship is expected to be approximately 3 months.
Position ID: ME685
Contact: Stefano Di Cairano
Email:
MERL is seeking a motivated and qualified individual to conduct research in the application of advanced control theories to electromechanical systems. The ideal candidate should have a solid background in control, power electronics, and electrical machines, demonstrate capability to publish results in leading control conferences, and be proficient in Matlab. PhD students in electrical or mechanical engineering are encouraged to apply. Start date for this internship is around May 2013 and the duration is 3 months.
Research Area: Algorithms
MERL's Algorithms group has internship openings for talented graduate students to participate in research on on algorithms for massively parallel solution of nonlinear convex programs. Applicants should have a strong mathematical background, coursework in optimization, and good programming chops. Preference will be given to candidates with practical experience in one of the following application areas -- computer vision, machine learning, tomography, or optimal control. Internships are offered on a rolling basis year-round.
Position ID: AL670
Contact: Matthew E. Brand
Email:
MERL's Algorithm and Imaging groups are seeking a graduate-level intern for a summer research project in high speed real-time trajectory modeling. Applicants should be familiar with curve-fitting and denoising methods. Background in online optimization, machine learning, robotics, or optimal control will be helpful, but not required. Strong C/Matlab programmers are preferred. The project will involve algorithm development, software implementation, physical experimentation, and aims at producing publication-worthy results.
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