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Job Summary

The University of Michigan (UM) is seeking an individual for an Engineering post-doctoral fellow position within the Departments of Physical Medicine & Rehabilitation (PM&R) and Mechanical Engineering.  The candidate will work closely with Dr. James Eckner (PI) and Dr. James A. Ashton-Miller (Co-I), as well as other study co-investigators in PM&R, Statistics, Radiology, Kinesiology, Neurology, and Athletics in support of a single-site NIH-funded mechanistic clinical trial investigating how the neck muscles and neck-strengthening exercise influence head acceleration, a proxy-measure for concussion risk, in high school athletes. 

The candidate will administer the laboratory-based components of the study in the University of Michigan Biomechanics Research Laboratory and perform the kinematics- and imaging-based data analyses.  The candidate will be expected to exhibit great sensitivity and respect for the confidentiality of all information that is collected from youth participants.  He/She must possess a Doctoral degree in Mechanical or Biomedical Engineering, Kinesiology, or an equivalent field; independent problem solving skills; a strong work ethic; and a strong ability to work collaboratively within a large research team. Candidate will also provide lab team supervision and general lab management.

Mission Statement

Michigan Engineering’s vision is to be the world’s preeminent college of engineering serving the common good. This global outlook, leadership focus and service commitment permeate our culture. Our vision is supported by a mission and values that, together, provide the framework for all that we do.  Information about our vision, mission and values can be found at: http://strategicvision.engin.umich.edu/ .

The University of Michigan has a storied legacy of commitment to Diversity, Equity and Inclusion (DEI). The Michigan Engineering  component of the University’s comprehensive, five-year, DEI strategic plan—along with updates on our programs and resources dedicated to ensuring a welcoming, fair and inclusive environment—can be found at: http://www.engin.umich.edu/college/about/diversity .

Responsibilities*

  • Actively participate in frequent in-person meetings with the PI and Co-I Ashton-Miller, as well as regular whole-team meetings, either in-person or remotely
  • Manage all electronic study data
  • Maintain and operate all Biomechanics Research Lab equipment required for data collection during laboratory testing sessions
  • Administer the laboratory testing protocol to study participants during testing sessions, with oversight of and assistance from supporting research team members.
  • Perform/oversee raw data processing and analysis, including kinematic and other lab-based data, as well as MRI data
  • Perform/oversee electronic data entry and assist Statistics Co-I with data analysis
  • Assist the PI and Co-I’s with results interpretation and dissemination
  • Assist the study team with other related research tasks as needed
  • Assist the PI and Engineering Co-I with general lab management and lab team supervision

Required Qualifications*

  • Doctoral-level degree in Mechanical Engineering, Biomedical Engineering, Kinesiology, or equivalent education and experience
  • Previous clinical research experience involving human subjects
  • Comfort working with an adolescent population; prior research experience with this population is preferred
  • Strong communication skills
  • Strong organizational and planning skills, including high attention to detail, accuracy, diligence, task-focus, and the ability to carefully administer detailed research protocols
  • Ability to work cooperatively within a team, and provide oversight to supporting research team members
  • Competence in basic and advanced software programs, including but not limited to Microsoft Office, research database packages (e.g., RedCap or similar), laboratory software packages (e.g., MatLab, LabView, etc.), medical image analysis software packages (e.g., 3D Slicer or similar), and statistical software packages (e.g., R, SPSS, SAS, etc.)
  • Independent problem-solving skills
  • Personal motivation
  • Schedule flexibility with frequent availability outside of usual 8-5 business hours, including evening/weekend hours to accommodate the scheduling needs of high-school aged study participants

 

U-M EEO/AA Statement

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