Role:Senior CBM Researcher (Data Scientist)

Location: Palo Alto, CA,

• We are seeking a senior research scientist in systems modeling, prognostics, diagnostics, data analytics, machine learning, control systems, cyber physical system security, or related fields to join a team of researchers developing innovative condition-based maintenance technologies. More details can be found at www.parc.com/cbm.
• The focus area is automated predictive analytics based on embedded sensor data, image, machine logs, and other modality data streams from various cyber-physical systems.
• Application domains of interest span manufacturing, energy, transportation, aerospace, automotive, and consumer appliances.
• We are also looking for experience that aligns with our broader vision of developing increasingly autonomous and self-aware connected electro mechanical devices/systems.
  
• The ideal candidate is an experienced and established self-starter who can define new interesting research directions, communicate with customers and stakeholders, elicit requirements, define and refine application concepts, and take ideas from the drawing board to prototype deployment.
• This is an applied research position: we are seeking candidates interested in delivering results based on cutting edge data analytics, prognostics, feature extraction, machine learning and control system methods.
  

Responsibilities

• Work with stakeholders to understand customer needs for fleet and systems health management
  
• Design, develop, and deliver innovative approaches, algorithms, methods, and models as needed
  
• Make buy-versus-build decisions for platform software and hardware capabilities
  
• Design and deliver software prototypes
  
• Lead/contribute to efforts on engaging new customers and developing new business opportunities, including proposal development
  

Requirements

• Ph.D./equivalent experience in Electrical, Mechanical Engineering, Computer Science,or related fields
  
• At least ten years of experience in prognostics, predictive analytics, diagnostics, image/data analysis, machine learning or control systems.
  
• Experience with condition-based maintenance or related concepts, methods, and tools
  
• Strong presentation, written communication, and client engagement skills
  
• Hands-on software and algorithm development
  
• Track record in raising research & development funding
  
• Project leadership skills and experience managing research or development teams
  

Desired Experience

• Experience with predictive analytics applications
  
• Experience with MATLAB and related toolboxes and/or Python and related tools
  
• Leadership skills and experience managing research or development teams
  
• Previous experience in an applied R&D setting working with other Ph.D.-level research scientists
  
• Demonstrated business development skills