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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. Apply online at 

Job Summary

The Intelligent Systems Laboratory in the Electrical and Computer Engineering Department at UM-Dearborn is seeking a full-time research engineer to assist with externally-funded research, primarily a NIH-funded research project, involving machine learning, computer vision, data mining, real-time driving data acquisition, processing and analysis.  This project has multiple components (e.g., behavioral data, cognitive data, driving performance factors, eye tracking information, physiological variables).


The ECE Engineer in Research will support research projects under the direction of a lead faculty member. Specifically, they will:

  • Assist in planning, development, implementation, monitoring, and supporting sponsored research projects, particularly in the following areas: machine learning; computer vision; time-series signal processing; data mining; real-time driving data acquisition, processing, and analysis.
  • Participate in data collection, processing and management.

  • Work effectively with cross-functional multidisciplinary teams, including faculty, master, and doctoral-level students.

  • Prepare technical reports, academic papers and presentations related to the research projects.

  • Provide status of ongoing issues, projects and communicate progress through written reports and regular progress meetings as assigned or scheduled.

  • Collect, interpret and analyze data to generate meaningful graphs and figures using well-known data mining and analytics tools

Required Qualifications*

  • MS degree in computer science, information, statistics, biostatistics, or related field.
  • Experience using Python, Matlab, or C programming for machine learning algorithm development and implementation.

  • Knowledge of and experience with advanced computer vision and deep learning technologies.

  • Proficiency with cleaning and munging data, and data quality control procedures.

  • Previous experience working with others at other academic levels.

  • Skilled at team building and demonstrated experience in effectively working with cross-functional teams, within/outside the organization, including the ability and desire to work with a diverse group of people.

  • Proven ability to collect the right data, analyze data using statistics, and implement improvements and corrective actions based on data.

  • Honesty, integrity, and a strong desire to succeed and establishing high standards for direct reports and peers, including interacting with others in a respectful and professional manner.

  • Creative problem-solving skills.

  • Proven ability to recognize opportunities and to improve quality.

  • Able to work on very tight timelines while maintaining excellent attention to detail.

Additional Information

Please note:  This is a limited-term position currently funded through May 31, 2025. 

Candidates with a Ph.D. or equivalent degree may be considered for a Post-Doctoral Research Fellow position (apply through Job Opening ID 199945).

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.


The University of Michigan participates with the federal EVerify system.  Individuals hired into positions that are funded by a federal contract with the FAR EVerify clause must have their identity and work eligibility confirmed by the EVerify system.  This position is identified as a position that may include the E-Verify requirement.

U-M EEO/AA Statement

The University of Michigan is an equal opportunity/affirmative action employer.