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Urban Air Mobility (UAM) Researcher

Location: Santa Clara, California, United States
Job ID: R0009299
Date Posted: Jul 6, 2022
Segment: Others (Including Headquarters and R&D )
Business Unit: Hitachi Regional Headquarters
Company Name: Hitachi America, Ltd.
Profession (Job Category): Engineering & Science
Job Type (Experience Level): Experienced
Job Schedule: Full time
Remote: No

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Description

UAM – Researcher

Company: Hitachi America, Ltd.

Division: R&D/Big Data Analytics Solutions Lab

Location: Santa Clara, CA

Status: Regular, Full-Time

Summary:

We are looking for a candidate to join our urban air mobility (UAM) research. The candidate will participate in -

  • Investigation of current standards, analyze the rule proposed by FAA and comment of the effectiveness of Hitachi’s current products, software, and simulator subsystems problems to management.

  • Surveying latest technology in industry and academia: e-VTOL/UAM systems, missions and operational landscape. Design, develop, test, and support of e-VTOL/UAM simulation products.

  • Development of control algorithms for e-VTOL/UAM flight control or support design and, design development and qualification simulator implementation systems.

  • Building integrated datasets, models, analytical tools, and visualizations using traditional and non-traditional data sources.

  • Developing technical documentation and provide inputs for creating documentation as required.

  • Evaluation of UAM simulator performance under a variety of assumptions and trade-off effectively leading to PoC with in-flight demonstration.

  • Collaborations with Hitachi R&D team across the globe to develop and test models and simulation environments

Requirements:

  • Experience in industry or academia developing robotics, avionics, flight software, or autonomous vehicles.

  • Knowledge of vertical flight dynamics and eVTOL flight control development. Experience with vehicle guidance and control systems preferred.

  • M.S. in related engineering field, Ph.D. preferred.

  • A strong theoretical and experimental background with evidence of skills related to

  • formal methods and their applications to robotic systems.

  • Working knowledge of Python, Matlab, and C++.

Preferred Qualifications:

  • Experience in flight data analysis/ simulator development and model validation.

  • Experience in multidisciplinary design optimization (MDO) or Reinforcement Learning.

  • Knowledge/experience in commercial aviation aircraft design, simulation, operations.

  • The candidate is expected to have good skills in writing scientific papers and technical reports.

  • Good to have experience in participating in SAE or NASA competition / forums.

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 [email protected] Queries other than accommodation requests will not be responded to.

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