Mitsubishi Electric Research Laboratories

About the Company

Mitsubishi Electric Research Laboratories (MERL) is the US subsidiary of the Corporate R&D organization of Mitsubishi Electric Corporation. MERL does basic and applied research in the areas of multi-physical modeling and simulation, optimization, control, signal processing and artificial intelligence. We are an open lab, publishing our results, collaborating with the world-wide research community, and measuring our performance by the impact we have on Mitsubishi Electric and the world.

Listed Jobs

Company Name

Mitsubishi Electric Research Laboratories

Job Title

Internship - Planning and Control of Mobile Manipulators

Job Description

Job Title Internship – Planning and Control of Mobile Manipulators Role Summary Conduct research on fast, robust whole‑body motion planning and control for mobile manipulators. Develop, implement, and evaluate algorithms in simulation, contributing to scholarly publications and technical reports. Expectations - Ph.D. student (or equivalent) in mechanical engineering, robotics, computer science, electrical engineering, or related field. - Proven research record with publications in robotics dynamics, motion planning, or control. - Ability to work independently, deliver timely results, and communicate findings clearly. Key Responsibilities 1. Design and implement whole‑body motion planning algorithms for mobile manipulators. 2. Model and simulate robot dynamics using Pinocchio, PyBullet, or MuJoCo. 3. Optimize control policies with CasADi, PyTorch, or similar tools. 4. Validate algorithm performance through simulation and generate technical documentation. 5. Collaborate with the research team, contribute to joint publications, and present progress at internal meetings. Required Skills - Proficient in C++ and Python programming. - Strong understanding of robotic dynamics, motion planning, and control theory. - Hands‑on experience with Pinocchio, PyBullet, MuJoCo, CasADi, and PyTorch. - Familiarity with numerical optimization, real‑time control, and algorithmic problem solving. - Excellent written and verbal communication; ability to document and present research results. Required Education & Certifications - Current Ph.D. candidacy (or equivalent) in mechanical engineering, robotics, computer science, electrical engineering, or related discipline. - Demonstrated publication record in robotics dynamics, motion planning, or control.

Cambridge, United states

Hybrid

06-11-2025

Company Name

Mitsubishi Electric Research Laboratories

Job Title

Internship - Sound event and anomaly detection

Job Description

**Job Title** Internship – Sound Event and Anomaly Detection **Role Summary** Graduate‑level internship focused on developing machine‑sound algorithms for source separation, sound event detection/localization, anomaly detection, and physics‑informed deep learning in extremely noisy environments. Duration 3–6 months, flexible start dates through 2026, with potential continuation into doctoral research and publications. **Expectations** - Complete rigorous research tasks that support conference and journal submissions. - Collaborate closely with senior researchers and cross‑disciplinary teams. - Deliver high‑quality, reproducible code and experimental documentation. **Key Responsibilities** - Design and implement novel algorithms for audio source separation and event detection. - Record, process, and analyze multimodal data (audio, electrical, vision, vibration). - Integrate audio signals with other sensor modalities for localization and anomaly analysis. - Conduct experiments, evaluate performance metrics, and troubleshoot reproducibility issues. - Prepare detailed reports and manuscripts for publication. **Required Skills** - Strong foundation in audio signal processing and microphone array techniques. - Experience with sound source separation (music, speech, or general sounds). - Knowledge of sound event detection, localization, and anomaly detection algorithms. - Familiarity with physics‑informed machine learning models. - Proficiency in Python and audio libraries (e.g., librosa, PySoundFile). - Ability to work independently and in a collaborative research environment. **Required Education & Certifications** - Current graduate student (Master’s or Ph.D.) in Electrical Engineering, Computer Science, Applied Physics, or related field. - At least one year of relevant research or internship experience in audio signal processing or a related domain. ---

Cambridge, United states

Hybrid

04-12-2025