Ford Careers – Autonomous Vehicle Health Monitoring and Prognostics

Job Description:

We are looking for an intern with expertise on data-driven vehicle health condition monitoring and prognostics using machine learning and statistical approaches. For a given prognostics problem, the candidate is expected to apply the most appropriate approaches for data cleaning, feature extraction, baseline modeling, and anomaly detection.

Job Responsibilities:

• The successful candidate will be responsible for supporting Ford’s Autonomous Vehicle efforts as part of the AV Systems Engineering team.
• As part of the feature team, you will help develop unique AV features not commonly found in traditional retail automotive products. Work in a dynamic & extremely challenging environment that includes many white space areas.
• Help Ford realize its AV vision as part of tomorrow’s transportation solutions.

Job Requirements:

• Excellent oral and written communication skills
• Strong communication skills
• Being proficient in python or MATLAB
• Automotive experiences/knowledge
• Strong team player with record of collaboration
• Having industrial or academic project experiences in fault diagnostics, condition monitoring and prognostics
• Strong problem-solving skills

Qualification & Experience:

• Current research direction in data-driven prognostics and health management of mechatronic systems
• Currently enrolled in a PhD program in Data Analytics, Computer Science, Electrical Engineering, or related fields
• Pursuing a BS, MS or PhD degree in either data analytics, computer science, engineering, or related fields

Job Details:

Company: Ford Motor Company

Vacancy Type:  Internship

Job Location: Dearborn, MI, USA

Application Deadline: N/A

Apply Here

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