Position ID: DC452
Job Description: MERL is seeking a highly motivated, qualified individual to join our 3 to 6 month internship program to carry research in the area of high power electronics and device semiconductors. The ideal candidate should have a significant background in the simulation and design of RF power amplifier, transmitter RF front-end module and well verse in the various architectures of a radio transmitter. Proficiency in high power device semiconductor and modeling would be a great asset. Candidates who hold a PhD or in their senior years of a Ph.D. program are encouraged to apply.
Contact:   Koon Hoo Teo
Email:  
Research Area:   Digital Communications

Position ID: MM553
Job Description: MERL is seeking a highly motivated intern to conduct research in the area of depth estimation and view synthesis for 3D video applications. An ideal candidate would have background in the related fields, e.g. image/video processing or computer vision. Previous experiences with stereo matching, DIBR or image processing are expected. Internship will last 3-6 months, and typically result in one or more publications.
Contact:   Dong Tian
Email:  
Research Area:   Multimedia

Position ID: DA554
Job Description: The Data Analytics group at MERL is seeking a qualified intern to assist with research projects in the area of predictive and decision analytics. The ideal candidate would have a solid mathematics background, good knowledge of machine learning techniques, specifically in linear and nonlinear regression algorithms, and a strong background in solving shortest path problems. Solid programming skills in either C/C++ or Matlab are also required. Knowledge of geographic information systems (GIS) would also be beneficial. The internship is expected to last approximately 3 months and would preferably start in February.

Contact:   Michael J. Jones
Email:  
Research Area:   Data Analytics

Position ID: IM556
Job Description: MERL's Imaging group is seeking a highly motivated intern to work on 3D reconstruction. The ideal candidate would be in the middle or second half of a Ph.D. program in computer vision or robotics, and have background in 3D registration, reconstruction, and SLAM algorithms. Strong programming skill in C++ is expected. Hands-on hardware experience and GPU programing would be a plus. The duration of the internship would be 3 to 6 months. Early application for a longer duration is encouraged.
Contact:   Yuichi Taguchi
Email:  
Research Area:   Imaging

Position ID: MM558
Job Description: MERL's multimedia group has a 3-6 month internship opportunity for a qualified candidate to research, develop, and simulate new algorithms and methods for improving the coding efficiency of next-generation video codecs. The ideal candidate will have relevant expertise in lossy or lossless video compression, and experience using and modifying existing HEVC or H.264/AVC reference software. Candidates at or beyond the middle of a Ph.D. program are encouraged to apply.
Contact:   Robert A. Cohen
Email:  
Research Area:   Multimedia

Position ID: MM559
Job Description: The speech and audio group is looking for an intern to work on topic modeling approaches for document analysis. Responsibilities will include deriving and implementing new models and optimization methods, conducting evaluation experiments and preparing of a publication. The ideal candidate would be a Ph.D. student with experience in natural language processing, information retrieval, probabilistic modeling, and/or non-parametric inference. The duration of the internship is expected to be 3 months.
Contact:   John R. Hershey
Email:  
Research Area:   Multimedia

Position ID: DC560
Job Description: MERL is seeking a highly motivated individual for an 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, TCP/IP and Ethernet. Experience in C/C++ and Matlab programming would be considered an asset. Duration is 3 months (beginning April/May 2012).
Contact:   Kieran J. Parsons
Email:  
Research Area:   Digital Communications

Position ID: DC561
Job Description: MERL is seeking a highly motivated intern to work on high-capacity optical fiber communications technologies. The ideal candidate should be in senior years of a PhD program working in the field of optical communications. The candidate should have a detailed knowledge of optical communications systems at the physical layer and digital communications techniques. Strong programming skills using C/C++ and Matlab are required. Practical lab experience in optical communications testing would be an asset. Duration is 3 to 6 months (beginning April/May 2012).
Contact:   Kieran J. Parsons
Email:  
Research Area:   Digital Communications

Position ID: DC562
Job Description: The Digital Communications Group is seeking a highly motivated, qualified individual to join our internship program and conduct research in the area of data communication in mobile networks. The ideal candidate should have solid background in communications theory and signal processing and be proficient in Matlab. Knowledge of packet scheduling algorithms and network optimization are essential. Familiarity with intelligent transportation systems/Vehicular networks and their standards (e.g. DSRC, WAVE, 802.11p) would be considered an asset, as would experience with network simulation tools such as NS2 or OPNET. Senior Ph.D. students in engineering are encouraged to apply
Contact:   Philip V. Orlik
Email:  
Research Area:   Digital Communications

Position ID: DC563
Job Description: MERL is seeking a highly motivated, qualified individual to join our internship program and conduct research in the area of semiconductor 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, and device fabrication 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.
Contact:   Keisuke Kojima
Email:  
Research Area:   Digital Communications

Position ID: DC564
Job Description: 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) networks. 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 detection algorithms and forward error correction would be a plus. Experience with MATLAB, C/C++ is necessary. Senior Ph.D. students in engineering or related fields are encouraged to apply.
Contact:   Philip V. Orlik
Email:  
Research Area:   Digital Communications

Position ID: MM565
Job Description: MERL is looking for an intern to work on multi-channel source separation and localization. Responsibilities will include collaborating with MERL researchers to derive and implement new models and optimization methods, conduct evaluation experiments and prepare a publication. The ideal candidate would be a Ph.D. student with experience with microphone arrays, audio signal processing and compressed sensing. Experience in dictionary learning, probabilistic modeling, and/or non-parametric inference is a plus. The duration of the internship is expected to be 3 months.
Contact:   Jonathan Le Roux
Email:  
Research Area:   Multimedia

Position ID: DC566
Job Description: MERL is seeking a highly motivated individual for an internship working on smart grid related technology development. The ideal candidate should be in senior years of a PhD program working in the fields of signal processing and power systems engineering. Skills required: Knowledge of power system modeling tools, detection theories. Experience in C/C++ and Matlab programming would be considered an asset. Duration is 3 months (beginning April/May 2012).
Contact:   Zafer Sahinoglu
Email:  
Research Area:   Digital Communications

Position ID: DC567
Job Description: MERL is seeking a highly motivated individual for an internship with a particular focus on digital interference cancellation. The ideal candidate should be in senior years of a PhD program working in the fields of advanced signal processing. Skills required: Knowledge of detection/estimation theories, wireless communication theories. Experience in C/C++ and Matlab programming would be considered an asset. Duration is 3 months (beginning April/May 2012).
Contact:   Zafer Sahinoglu
Email:  
Research Area:   Digital Communications

Position ID: MM568
Job Description: The Multimedia Group at MERL is seeking a highly motivated candidate for a summer internship in secure biometrics. The ideal candidate would be in the middle or second half of a Ph.D. program with a concentration on biometric security. It is essential that the candidate be well-versed in the basic concepts of information theory and statistics. Proficiency with working and writing code in MATLAB or C is required.

The duration of the internship is approximately 3 months. Early applications are encouraged.
Contact:   Shantanu D. Rane
Email:  
Research Area:   Multimedia

Position ID: DC569
Job Description: The Digital Communications Group is seeking a highly motivated, qualified individual to join our 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, 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.
Contact:   Toshiaki Koike
Email:  
Research Area:   Digital Communications

Position ID: DC570
Job Description: Mitsubishi Electric Research Labs (MERL) is seeking a highly motivated intern to conduct research in the area of Radio Frequency front-end technology. The ideal candidate would have a solid background and multiple years of research experience in RF circuit and IC designs, be familiar with the state-of-art design techniques and tools, and have hands on experience in circuit/device test and verification. Knowledge in digital wireless communication system and signal processing algorithms is highly desirable. The internship will be 3 to 6 months long.
Contact:   Koon Hoo Teo
Email:  
Research Area:   Digital Communications

Position ID: DC571
Job Description: MERL is seeking a qualified intern to conduct research in the area of applied electromagnetics and RF engineering. The ideal candidate should have a solid background in EM field theory and numerical techniques, and RF circuits. Essential skills include EM field analysis, RF antenna and circuit design and analysis, hands-on RF experiment design and measurements. The duration of the internship is expected to be 3 months. Ph.D. students in engineering or physics with related background are encouraged to apply.
Contact:   Koon Hoo Teo
Email:  
Research Area:   Digital Communications

Position ID: DC573
Job Description: MERL is seeking a highly motivated, qualified individual to join our internship program and conduct research in the area of semiconductor devices. The ideal candidate should have a strong background in the simulation and design of power devices as well as experience in using a TCAD simulator. Good knowledge in device design and fabrication process is considered an asset. Candidates who hold a Ph.D. or in their senior years of a Ph.D. program are encouraged to apply.
Contact:   Koon Hoo Teo
Email:  
Research Area:   Digital Communications

Position ID: DC574
Job Description: MERL is seeking a highly motivated, qualified individual to join our internship program and conduct research in the area of power electronics. The ideal candidate should have a strong background in the simulation and design of power converters. Good knowledge in the design of converter, at the circuit, physical, and device level is considered an asset. Candidates who hold a Ph.D. or in their senior years of a Ph.D. program are encouraged to apply.



Contact:   Koon Hoo Teo
Email:  
Research Area:   Digital Communications

Position ID: AL575
Job Description: Seeking a talented grad students to co-develop and implement highly parallel algorithms for solving large-scale convex problems in computer vision, tomography, control, compressive sensing, and related fields. An ideal candidate will have
* a solid mathematical background including coursework and experience in convex optimization;
* fluent matlab and C or C++ skills (GPU programming experience a plus);
* hands-on experience doing a project in one of the above-mentioned domains.
Internships last 3-6 months and usually aim to produce a compelling demo and a high-quality publication.
Contact:   Matthew E. Brand
Email:  
Research Area:   Algorithms

Position ID: AL576
Job Description: Seeking an intern to collaborate in development and implementation of algorithms for motion planning and control of remarkably high-speed machinery. Ideal candidates will have a solid mathematical background and be familiar with spline-fitting, function approximation, constrained optimization, and combinatorial optimization. Applicant should be a capable scientific programmer, preferably fluent in matlab or scipy and C or C++. Project goal is a compelling demo and a high-quality publication.
Contact:   Matthew E. Brand
Email:  
Research Area:   Algorithms

Position ID: MM577
Job Description: 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.
Contact:   Bret A. Harsham
Email:  
Research Area:   Multimedia

Position ID: MM578
Job Description: MERL is seeking a highly motivated intern to conduct research in the area of depth sensing with focus on compressive sensing. Experience in compressive sensing is expected, while experience with array processing or depth sensing systems is desired. Internships typically last 3 months, and result in one or more publications. Please mention position number in the subject.
Contact:   Petros T. Boufounos
Email:  
Research Area:   Multimedia

Position ID: DA579
Job Description: The Data Analytics Group at MERL is looking for a highly motivated candidate for a summer internship in the field of wide area situational awareness in Smart Grids. The ideal candidate would have a good background in power systems modeling and analysis, as well as solid programming skills in C/C++. Interest and knowledge of advanced sensing and monitoring methods in modern power grids would be a plus. The expected duration of the internship is around three months.
Contact:   Hongbo Sun
Email:  
Research Area:   Data Analytics

Position ID: DA581
Job Description: 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 based on formal university coursework, as well as hands-on experience with experimental systems. Knowledge of advanced control methods, applied mathematics, nonlinear dynamics, and data acquisition technology would be a plus. The expected duration of the internship is around three months.
Contact:   Christopher R. Laughman
Email:  
Research Area:   Data Analytics

Position ID: MM582
Job Description: 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. Experience with smart phone programming or data integration would be a plus. The duration of the internship is expected to be 3 months.
Contact:   John R. Hershey
Email:  
Research Area:   Multimedia

Position ID: MM584
Job Description: MERL's multimedia group has a 3 month internship opportunity for a qualified candidate to work on advanced image and/or video coding techniques. The ideal candidate will have relevant expertise in image or video compression, along with experience in perceptual metrics. Experience with C/C++ and/or MATLAB would be beneficial. Candidates at or beyond the middle of a Ph.D. program are encouraged to apply.
Contact:   Robert A. Cohen
Email:  
Research Area:   Multimedia

Position ID: IM585
Job Description: MERL's imaging group is looking for an intern to work on single view 3D reconstruction. The ideal candidates should be working in computer vision, machine learning or related fields. Prior experience in single view 3D reconstruction problem would be an asset. The intern should have strong programming experience in matlab and C++ . Start date is flexible and the duration of the internship is 3 months.
Contact: Srikumar Ramalingam (ramalingam@merl.com)
Contact:   Srikumar Ramalingam
Email:  
Research Area:   Imaging