Automated Driving Research Scientist – Brain Machine Interfaces

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Automated Driving Research Scientist – Brain Machine Interfaces
Palo Alto
Ford Motor Company

Job Description
Ford Motor Company is moving into a new phase of its 100+ year history, one in which openness is at the heart of its future. The automobile is being redefined as a networked computing platform upon which an ever-evolving set of applications is being designed, allowing us to create exciting new consumer experiences.
At our Palo Alto Research and Innovation Center, we are exploring the role of advanced technologies and business models which will redefine the meaning of mobility in the 21st century.

The Automated Driving group at the Research and Innovation Center (RIC) in Palo Alto researches and develops technology to support Advanced Driver Assistance Systems (ADAS), as well as semi- and fully-autonomous driving capabilities. Candidates for consideration will be responsible for leading research and development efforts in this space informed by brain machine interfaces. The ideal candidates are exceptionally creative, motived and talented scientists with strong, proven research records. We collaborate extensively within Ford and with external partners, thus we require exceptional communication and collaborative skills.

Responsibilities Include:
  • Lead the procurement, installation and operation of a brain machine interface laboratory in RIC Palo Alto
  • Collaborate with User Experience and Human Factors engineers in RIC Palo Alto and Dearborn
  • Design and run studies which leverage brain activity for various automated driving applications
  • Lead the integration of new physiological and neuroimaging technologies into the Driving Simulator and Immersive Environments
  • Lead collaboration in brain machine interfaces with universities, startups, and other technology forums
  • Support brain machine interface technology scouting of local companies and startups
  • Publish technical reports, papers and/or pursue Intellectual Property rights
Minimum Qualifications:
  • Master’s degree in Neuroscience, Psychology, Biology, Engineering or related fields
  • 3+ years of experience in driving simulator technology
  • 3+ years of experience with neuroimaging techniques
Preferred Qualifications:
  • PhD in Neuroscience, Psychology, Biology, Engineering or related fields
    Comprehensive understanding of various sensor types for measuring neurophysiological parameters
  • Demonstrated ability to carry out independent research and lead projects
  • Demonstrated experience in executing a project from inception to finish across multiple disciplines, e.g. dealing with sensor hardware, data acquisition and analysis, user studies
  • Experience with Unity / Unreal engine, RTI SimCore, Matlab/Simulink
    Experience working with communication technologies such as TCP/IP, Bluetooth, Wi-Fi, and CAN
  • Ability to establish and maintain cooperative and effective working relationships with internal cross-functional team members and external business partners
  • Experience with CAN based vehicle engineering tools (e.g., PEAK System, Vector)
  • Self-motivated with a persistent desire to learn and understand the unknown
  • Possess excellent written and verbal communications skills
The distance between imagination and … creation. It can be measured in years of innovation, or in moments of brilliance. When you join the Ford team you will discover all the benefits, rewards and development opportunities you’d expect from a diverse global leader. You’ll become part of a team that is already leading the way, with ingenious solutions and attainable products – and it is always ready to go further.

Visa sponsorship may be available for this position.

Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.