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A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.

Job Summary

The College of Innovation and Technology is looking for a Postdoctoral Fellow for a full year (12 months). The position is focused on LiDAR sensors and sensing systems. The successful candidate will work under the supervision of Dr. Ahmad Alsharoa on cutting-edge projects involving the application of LiDAR and other sensor modalities in real-world environments, including smart system, healthcare monitoring, and activity recognition. The candidates will have opportunities to work with outstanding collaborators at all three University of Michigan campuses.

This is a full-time, benefits-eligible appointment for one year, with the possibility of renewal based on performance and funding availability.

Responsibilities*

• Design, implement, and evaluate LiDAR-based experiments in lab and real-world
  settings.
• Develop and test algorithms for object detection, tracking, and classification using
  LiDAR sensors.
• Help guide and mentor graduate students and other junior team members working on
  the project.
• Publish research findings in top-tier journals and conferences.
• Assist in proposal development and grant writing.
• Ensure that all research is conducted in an ethical manner and in compliance with
  safety standards and data protection regulations. This includes managing sensitive data correctly
  and guaranteeing that machine learning applications are developed with ethical considerations in
  mind.
• Participate in regular meetings with the research group.

Required Qualifications*

• Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related
  field.
• Proven experience working with LiDAR sensors, point cloud data processing, and
  sensor integration.
• Strong background in signal processing, computer vision, or machine learning.
• Proficient in programming languages such as Python, C++, and MATLAB.
• Strong publication record in relevant research areas.
• Excellent communication and teamwork skills.

Modes of Work

Hybrid:
The work requirements allow both onsite and offsite work and an employee has an expected recurring onsite presence. On occasion, the employee may be required and must be available to work onsite more frequently if necessitated by unit leadership or their designee and/or the job requirements.

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes here.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.

Application Deadline

Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.

U-M EEO Statement

The University of Michigan is an equal employment opportunity employer.