Applied Research Internship - RL for Industrial Controls Applications

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Applied Research Internship - RL for Industrial Controls Applications

Company: Hitachi America Ltd

Division: R&D | Strategic Solution Lab

Location: Santa Clara, CA

Status: Intern, Full-Time

Duration: 3-4 months

The Company

About Hitachi America, Ltd.

Hitachi America, Ltd. is the regional headquarters for Hitachi Group companies in the Americas, overseeing the U.S., Canada, and Latin America markets. Headquartered in Santa Clara, California, Hitachi Americas has been deeply committed to its Social Innovation Business since its establishment in 1959, addressing society's most pressing challenges through innovative solutions. Leveraging its expertise and resources, Hitachi Americas and its subsidiary companies operate across diverse sectors, including transportation, energy, mobility, industrial manufacturing, healthcare, digital engineering, data analytics and others. Driven by Digital, Green, and Innovation, Hitachi Americas remains at the forefront of pioneering solutions that shape the future. For further details, please visit https://www.hitachi.us/.

Through its Social Innovation Business (SIB) that brings together IT, OT (Operational Technology) and products, Hitachi contributes to a harmonized society where the environment, wellbeing, and economic growth are in balance. Hitachi operates globally in four sectors - Digital Systems & Services, Energy, Mobility, and Connective Industries - and the Strategic SIB Business Unit for new growth businesses. With Lumada at its core, Hitachi generates value from integrating data, technology and domain knowledge to solve customer and social challenges. Revenues for FY2024 (ended March 31, 2025) totaled 9,783.3 billion yen, with 618 consolidated subsidiaries and approximately 280,000 employees worldwide. Visit us at www.hitachi.com.

Summary

We are seeking highly motivated undergraduate or graduate students for aResearch Internshipfocused on deep learning, with exposure to reinforcement learning (RL) and/or imitation learning. This position is ideal for candidates interested in applying advanced AI techniques to challenges in power systems, control systems, or power management.

As a Research Intern, you will work alongside experienced researchers and engineers to develop, implement, and evaluate machine learning algorithms for real-world applications. You'll have the opportunity to contribute to projects that advance the state-of-the-art in AI for critical infrastructure, while gaining hands-on experience with modern deep learning frameworks and large-scale datasets.

Job Responsibilities

• Collaborate with cross-functional teams to design and prototype deep learning models for power systems and control applications.

• Explore and implement reinforcement learning and imitation learning algorithms for optimization and decision-making tasks.

• Analyze datasets, extract insights, and validate model performance.

• Present findings and contribute to technical documentation and research publications.

• Participate in regular team meetings, brainstorming sessions, and code reviews.

A Day in the Life

• Work with mentors to define research objectives and milestones.

• Develop and test novel algorithms for power management or control systems.

• Review recent research papers and apply relevant methods to ongoing projects.

• Communicate results through presentations and written reports.

Requirements

• Recently completed or currently enrolled in an undergraduate or graduate program in Electrical Engineering, Mechanical Engineering or a related field with minor or background in Computer Science.

• Strong programming skills in Python (or similar languages). Experience with power system modeling, control theory, or energy management systems.

• Coursework or experience in deep learning, reinforcement learning, or imitation learning.

• Familiarity with machine learning frameworks (preferably., PyTorch).

• Interest or background in power systems, control systems, or power management.

• Excellent communication and teamwork skills.

• Available for a full-time (40h/week), internship for minimum 3-4 months starting July/August 2024.

• Currently enrolled in or recent graduate of a master's or higher degree course. Must be able to relocate to the internship location.

Preferred Qualifications

• Prior research or project experience in AI for physical systems.

• Exposure to LangChain and/or LangGraph is preferred not a requirement.

• Ability to work independently and manage multiple priorities in a fast-paced environment.

If you are passionate about leveraging deep learning and AI to solve real-world challenges in power and control systems, we encourage you to apply. This internship offers a unique opportunity to grow your technical skills, collaborate with leading experts, and contribute to impactful research.

Our Values

We are proud to say we are an equal opportunity employer and welcome all applicants for employment without attention to any factor that doesn't impact your ability to do the job, including race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are proud of Japanese heritage, with our values expressed through the Hitachi Spirit:

• Wa - Harmony, Trust, Respect

• Makoto - Sincerity, Fairness, Honesty, Integrity

• Kaitakusha-Seishin - Pioneering Spirit, Challenge

For California only (as required by California's Pay Transparency for Pay Equity Act (SB 1162): The expected hourly rate for this position in our California office is $30 - 35 per hour. Pay is determined based on a variety of factors including, but not limited to, depth of experience in the practice area. Employees are eligible to participate in Hitachi America's variable pay program, subject to the program's conditions and restrictions.

Equal Opportunity Employer (EOE)-Females/Minorities/Protected Veterans/Individuals with Disabilities

If you need a reasonable accommodation to apply for a job at Hitachi, please send the nature of request and contact information to accommodation@hal.hitachi.com. Queries other than accommodation requests will not be responded to.