Human Resources

Job Description Summary

The Mechanical Engineering-Engineering Mechanics Department at Michigan Technological University is hiring a postdoctoral research associate working in the area of connected and autonomous vehicle (CAV) technologies including sensing, perception, controls, and optimization for energy reduction. The position will be working with a team of staff engineers, graduate students, and research partners including DOE and vehicle OEM’s to develop and integrate real-time embedded controls, optimization, and machine learning algorithms into one of several L4/L5 light-duty vehicles including EV’s, PHEV’s, and HEV’s. Working with the team, the CAV vehicles are being deployed and tested on close track with further analysis in simulation.

Essential Duties & Responsibilities (other duties may be assigned)

Your primary duties will be: (1) Development of sensing, perception, controls, and optimization for energy reduction, (2) in-vehicle integration into the vehicle embedded systems composed of dSPACE MicroAutobox III for high-level supervisory controls and optimization (3) ROS Based Autoware for sensing, perception, and AV control, (4) verification, calibration, and testing of the systems demonstrating improvements in controls and energy reduction, (4) travel to testing sites to conduct closed track testing, (5) presentation and publications to our research partners and to peer-reviewed journals, and (6)  apply safety-related knowledge, skills, and practices to everyday work.

Required Education, Certifications, Licensures (minimum requirements)

A Ph.D. in mechanical or electrical engineering, or a closely related field.

Required Experience (minimum requirements)

• Controls and optimization for real-time embedded systems (Preferably dSAPCE Micro AutoBox).
• Vehicle dynamics and preferably propulsion systems, modeling, simulation, and optimization techniques.
• Handling of various sensors including GPS, IMU, LIDAR and RADAR.

Desirable Education and/or Experience

• Advanced knowledge of vehicle sensing and in-vehicle CAN communications and V2X communications.
• Vehicle longitudinal dynamics and preferably powertrain control
• Knowledge in ROS (Linux) operating systems, Autoware.ai, or other CAV systems.
• Vehicle simulation and modeling.

Required Knowledge, Skills, and/or Abilities (minimum requirements)

• Advanced knowledge consistent with a Ph.D. degree in engineering, controls, optimization, Vehicle dynamics, etc.
• Advanced modeling and controls techniques using MATLAB and Simulink.
• Demonstrated abilities in (1) oral and written communication and (2) working with diverse groups of students, faculty, and staff.

Desirable Knowledge, Skills, and/or Abilities

• Optimization methods including physics, AI, and ML methods.

Language, Mathematics and/or Reasoning Skills

Work Environment and/or Physical Demands

Required Training and Other Conditions of Employment

Every employee at Michigan Technological University will receive the following 4 required pieces of training; additional training may be required by the department.

Required University Training:

• Employee Safety Overview

• Anti-Harassment, Discrimination, Retaliation Training

• Annual Data Security Training 

• Annual Title IX Training

Background Check:

Offers of employment are contingent upon and not considered finalized until the required background check has been performed and the results received and assessed.

Other Conditions of Employment:

The successful applicant will be responsible for ensuring eligibility for employment in the United States on or before the effective date of the appointment. This is not an E-Verified Position.

1

FLSA Status

Exempt

Appointment Term

12 months

Shift

Pay Rate/Salary

Title of Position Supervisor

Professor & Director

Posting Type

Dependent on Funding

Special Instructions to Applicants (if applicable)

To apply, upload these required documents; Curriculum Vitae, including a list of your publications; a one-page description of your relevant research experience and career goals and contact information for three references.

Applications will be reviewed as they arrive with the goal of selecting by March 31, 2022, with a start date between May 2022 and September 2022.  

Additional Information