Senior Control Assurance Researcher

This is a temporary position, slated to last 1 year.

Position Summary:

The SEI’s Formal Verification of Cyber-physical Systems (FV-CPS) initiative creates and applies state-of-the-art techniques, theories, tools, and prototypes to improve the state of the practice for the development of predictably trustworthy cyber-physical systems that can operate in changing, uncertain and even adversarial conditions. We are looking for a driven researcher with a focus on control-theoretical approaches to join a team of experienced engineers and researchers to develop solutions for developing and assuring autonomous cyber-physical systems.
 

Duties:

• Developing solutions for designing, implementing and assuring safe and secure autonomous systems bridging the gap between the state of the art in control theory and the state of the practice
• Conducting research to advance the state of the art in control of autonomous cyber-physical systems, and verification of their physical behavior
• Developing project proposals and leading project execution
• Contributing to diverse teams composed of colleagues, customers, and others, to deliver solutions

Requirements:

• MS in Control Systems, Automation or related discipline with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience
• Experience with control applied to quadcopters
• Experience with applying control theory for assurance of cyber-physical systems
• Movement between buildings within the SEI and CMU community required
• Willingness to travel to various locations to support the SEI’s overall mission. This includes sponsor sites, conferences, and offsite meetings on occasion. Moderate Travel (15%)
   

Knowledge, Skills and Abilities:

• Expert knowledge of control-theory based approaches for system control
• Application of control for safety and security in cyber-physical systems
• Strong research and writing skills
• Ability to present technical topics to audiences from senior leadership to technical experts

Desired Experience:

• Knowledge of artificial intelligence and machine learning applied to control
• Published peer-reviewed papers in relevant venues
• Demonstrable research experience
• Software development experience

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full time/Part time

Full time

Pay Basis

Salary
More Information: 

• Please visit “Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world. 

• Click here to view a listing of employee benefits

• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. 

• Statement of Assurance