Smart Manufacturing / Industrial Ergonomics Researcher

Location:

Farmington Hills, Michigan, United States

Job ID:

R0037953

Date Posted:

2023-11-27

Company Name:

HITACHI AMERICA, LTD.

Profession (Job Category):

Engineering & Science

Job Schedule: 

Full time

Remote:

No

Job Description:

Researcher, Smart Manufacturing / Industrial Ergonomics

Company: Hitachi America, Ltd.

Division: R&D/Industrial Innovation Laboratory

Location: Farmington Hills, MI

Status: Regular, Full-Time

The Company

Hitachi drives Social Innovation Business, creating a sustainable society through the use of data and technology. We solve customers' and society's challenges with Lumada solutions leveraging IT, OT (Operational Technology) and products. Hitachi operates under the business structure of “Digital Systems & Services” - supporting our customers’ digital transformation; “Green Energy & Mobility” - contributing to a decarbonized society through energy and railway systems, and “Connective Industries” - connecting products through digital technology to provide solutions in various industries. Driven by Digital, Green, and Innovation, we aim for growth through co-creation with our customers. The company’s consolidated revenues for fiscal year 2022 (ended March 31, 2023) totaled 10,881.1 billion yen, with 696 consolidated subsidiaries and approximately 320,000 employees worldwide. For more information on Hitachi, please visit the company's website at https://www.hitachi.com.

Summary:

Hitachi America, Ltd. (www.hitachi-america.us) is looking for a Ph.D./Master’s degree holder in biomechanical engineering, mechanical/industrial engineering, electrical engineering, applied ergonomics related field to join our Research & Development team as a researcher to contribute in the area of Smart Manufacturing/Industry 4.0. The Researcher will be involved in research related to Smart Manufacturing/Industry 4.0 with an emphasis on safety and ergonomics. The Researcher will collaborate with HAL Researchers, Hitachi R&D in Japan and industry partners as well as customers on Smart Manufacturing. This position will require sound knowledge in applied ergonomics, human motion analysis, kinesiology, machining learning etc. The position requires the researcher to work as a team member with good communication and written skills.

Key Responsibilities:

We’re looking for a team player, who is motivated by delivering great work and the Hitachi vision. The role will be a mixture of remote-hybrid work with days in the Hitachi Office in Farmington Hills, Michigan. 

The ideal candidate will possess the following skills and background:

• The candidate will work in close collaboration with HAL Researchers and Hitachi R&D in Japan

• The candidate should be capable of working with industry partners and customers, identifying customers’ needs & challenges, and proposing & conducting solution design/implementation/verification.

• Ability to design, implement and apply knowledge in ergonomics in industrial settings like manufacturing and warehouse operations.

• The candidate should leverage Industry 4.0 elements to improve health, safety, performance and productivity of manufacturing and operations.

• Ability to conceive proof of concept ideas and then scale them up to production and industrial settings.

• The candidate must have the ability to make plans and execute them. He/she will perform complex process and system analysis with a high level of analytical ability.

• Periodic generation of invention disclosures based on research outcome.

• Publish technical papers and attend/present at conferences and seminars.

Qualifications:

• Graduate of a Master or PhD degree in biomechanical engineering, mechanical/industrial engineering, electrical engineering, applied ergonomics related field is required.

• Deep understanding in vision-based and or sensor-based human motion/activity analysis is required.

• Deep knowledge of various sensors like imaging, inertia, force, temperature etc., as well as sensor data processing and analysis is required.

• Deep understanding in both classic and machine learning based data analytics like SVM, RF, CNNs (especially LSTM) on human movement and ergonomics data is required.

• Experience with human body modeling, pose estimation, motion/action analytics is required.

• Expertise in data collection from human subjects using IMU sensors (e.g., Xsens sensors), Force Platforms, EMG, and other wearable technologies is required.

• Extensive experience with Occupational biomechanical analysis usi