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 - Robot Control Software Development Intern

Job Description

**Job Title:** Internship – Robot Control Software Development Intern **Role Summary:** Design, implement, and test ROS2 drivers for Mitsubishi Electric robot arms, forming the core control layer for multiple robotic platforms. Collaborate with researchers to integrate vision, tactile, and force/torque sensors and develop force/position control algorithms. **Expectations:** - Master’s or Ph.D. student in Robotics, CS, EE, or related field. - Strong software engineering background and solid grasp of robot control protocols. - Deliver functional ROS2 modules within a ~3‑month internship. - Work independently and as part of a research team, producing clean, well‑documented code. **Key Responsibilities:** 1. Architect and develop ROS2 driver modules for Mitsubishi robot arms. 2. Integrate vision, tactile, and force/torque sensors into the control stack. 3. Implement force and position control logic and validate on physical robots. 4. Conduct unit and integration testing, debugging, and performance profiling. 5. Document design decisions, APIs, and user guides. 6. Produce technical reports and present progress to research team. **Required Skills:** - ROS2, ROS, and Python programming. - Experience with software architecture design for robotics. - Familiarity with robot hardware interfaces and sensor data pipelines. - Knowledge of force/position control strategies. - Problem‑solving and algorithmic thinking. - (Desirable) Exposure to machine learning for robotics and algorithm design. **Required Education & Certifications:** - Current enrollment in a Master’s or Ph.D. program in Robotics, Computer Science, Electrical Engineering, or equivalent. - Coursework demonstrating proficiency in software engineering, robotics control, and sensor integration.

Cambridge, United states

Hybrid

Fresher

18-12-2025

Company Name

Mitsubishi Electric Research Laboratories

Job Title

Internship - Stochastic Model Predictive Control with Generative Models for Smart Building Control

Job Description

Job title: Internship – Stochastic Model Predictive Control with Generative Models for Smart Building Control Role Summary: Research intern tasked with developing transformer‑informed stochastic model predictive control algorithms to manage net‑zero energy smart buildings. Must design, implement, test, and document methodologies, and produce publishable results during a 3–6 month internship. Expectations: Deliver functional MPC solutions, validate performance on real building data, contribute to research publications, and meet project milestones within a flexible start schedule. Key Responsibilities: - Design and implement transformer‑based stochastic MPC workflows. - Develop probabilistic time‑series prediction models and integrate them into control loops. - Formulate and solve convex programming formulations of MPC/SMPC problems. - Conduct performance evaluation on real or simulated building control systems. - Prepare technical documentation and author research papers for academic venues. Required Skills: - Hands‑on experience in stochastic MPC and convex optimization. - Proficiency in Python, PyTorch, and related deep‑learning frameworks. - Strong understanding of probabilistic time‑series forecasting. - Ability to translate theoretical models into efficient, deployable algorithms. Required Education & Certifications: - Master’s degree completed or >50 % of a PhD program in control systems, applied mathematics, machine learning, or a related field. - Publications in stochastic MPC or related research areas preferred.

Cambridge, United states

On site

14-02-2026

Company Name

Mitsubishi Electric Research Laboratories

Job Title

Internship - Fine-tuning Large language models

Job Description

**Job title** Internship – Fine‑tuning Large Language Models **Role Summary** A senior Ph.D. candidate in Computer Science or Electrical Engineering will participate in a 3‑month internship focused on developing and applying multi‑modal large language models (LLMs) for anomaly detection, time‑sequence analysis, and predictive maintenance. The role involves collaborating with researchers to design LLM‑based frameworks, analyze multi‑modal sensor data, and contribute to technical reports and publishable manuscripts. **Expectations** - Completion of a Ph.D. program (computer science, electrical engineering, or related field). - Demonstrated expertise in machine learning and signal processing. - Strong publication record in top conferences/journals. - Experience or interest in fine‑tuning foundation language models. **Key Responsibilities** - Fine‑tune large language models on multi‑modal time‑sequence data sets. - Design and implement LLM‑based frameworks for sensor data analysis. - Conduct experiments, evaluate model performance, and iterate on model architectures. - Prepare technical reports, data analysis documents, and draft manuscripts for submission to academic venues. - Collaborate with research teams to integrate LLM outputs with downstream anomaly detection and predictive maintenance pipelines. **Required Skills** - Machine learning (deep learning, transformer architectures). - Large language model fine‑tuning and evaluation. - Multi‑modal time‑sequence data analysis. - Signal processing fundamentals. - Programming: Python, PyTorch/TensorFlow, data‑pipeline tools. - Strong analytical and problem‑solving abilities. **Required Education & Certifications** - Current Ph.D. candidate in Computer Science, Electrical Engineering, or a closely related discipline. ---

Cambridge, United states

On site

14-02-2026

Company Name

Mitsubishi Electric Research Laboratories

Job Title

Internship - Whole-body manipulation for quadrupedal robots

Job Description

Job Title: Internship – Whole‑Body Manipulation for Quadrupedal Robots Role Summary A Ph.D. candidate will develop and validate algorithms that enable a quadrupedal robot to locomote and simultaneously manipulate 3‑D objects located beyond its immediate workspace. The internship involves simulation work, physical‑robot experimentation, algorithm implementation, experimental analysis, and research dissemination. Expectations * Ph.D. graduate student or advanced master's student in robotics, mechanical engineering, computer science, or related field. * Strong background in legged locomotion, grasp pose detection, machine vision, and contact‑aware manipulation. * Willingness to conduct rigorous experimental validation on a real quadrupedal platform and publish findings at a top conference. Key Responsibilities * Design, implement, and evaluate loco‑manipulation algorithms in simulation (e.g., Isaac Lab, MuJoCo). * Transfer and refine algorithms for real‑world execution on a physical quadrupedal robot. * Conduct systematic experiments, collect data, and analyze performance metrics. * Prepare technical reports and conference papers; support patent preparation if applicable. * Collaborate with senior researchers and laboratory staff on multidisciplinary projects. Required Skills * Proficiency in programming (C++ or Python). * Experience with physics‑based simulation environments (Isaac Lab, MuJoCo, or equivalent). * Knowledge of robot perception, machine learning, and grasp planning. * Prior hands‑on experience with bipedal or quadrupedal robotic platforms. * Strong analytical, problem‑solving, and documentation skills. Required Education & Certifications * Current Ph.D. student (or equivalent advanced master’s level) in robotics, mechanical engineering, computer science, electrical engineering, or a related discipline. * No specific certifications required; demonstrated coursework or projects in legged robotics, manipulation, and machine learning preferable.

Cambridge, United states

On site

17-02-2026