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About this Postdoctoral Research Associate role at Texas A&M University System

Texas A&M University System · Onsite · College Station, TX

Job Title

Postdoctoral Research Associate

Agency

Texas A&M University Health Science Center

Department

Environmental And Occupational Health

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

Our Commitment

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.


Who we are

As one of the fastest-growing academic health centers in the nation, Texas A&M Health encompasses five colleges and numerous centers and institutes working together to improve health through transformative education, innovative research and team-based health care delivery.


What we want

The Postdoctoral Research Associate, under general supervision, is responsible for conducting research into their field of expertise.  The Postdoctoral Research Associate will utilize the skills and expertise granted to them by their education and experience to complete research projects in their field of expertise. This position supports Occupational Ergonomics and Biomechanics (OEB) Laboratory at Texas A&M University by characterizing work-related physical exposures and investigating their relationships with adverse health outcomes for an ultimate goal of promoting health and well-being at workplaces. This position manages externally funded research projects, oversees the research staff in OEB lab, works with the lab director (Jay Kim) and study team members.

 

Responsibilities:

Manage and Support Ongoing Funded Research Projects

  • Manage and support ongoing funded research projects.
  • Establish 3-D motion capture data collection/analysis protocol using Optitrack/Xense motion capture system and biomechanical analysis software progras (OpenSim, Visual 3D, and Anybody).
  • Train research staff and students of OEB lab regarding motion capture data collection and analysis.
  • Develop externally funded research projects
  • Disseminate the study results via conference proceedings, presentations, and peer-reviewed journal papers.
  • Coordinate the current research projects that evaluate the effects of exoskeletons on biomechanical loadings and postural balance by working with the PI and research staff in the OEB lab.
  • Develop research protocols involving various biominstrumentation including but not limited to motion capture systems, IMUs, force plates, load cells, etc.
  • Lead and support the project data collection and analysis.
  • Lead weekly meetings with the PI and research staff.

 

Academic Research Duties

  • Mentor students on their research projects in the OEB lab.
  • Initiate and develop research proposals per his/her own research interests.
  • Develop manuscripts and disseminate study results via conference proceedings, presentations, and peer-reviewed journal papers.

 

Administrative Duties

  • Provide administrative oversight to lab operations including project budget, IRB, procurement, etc.
  • Lead meetings with research collaborators.
  • Other duties as assigned

 

Qualifications:

Required Education

  • PhD in Environmental and Occupational Health or Biomechanics.

 

Preferred Qualifications

  • 4 years or longer lab experience
  • Strong programing skills
  • Machine learning and deep learning modeling
  • Expertise in 3-D motion capture systems and biomechanical modeling (OpenSim, Visual 3D, Anybody)
  • Strong analytic and quantitative skills
  • Interpersonal skills
  • Written and verbal communication skills
  • High level of professionalism
  • Problem solving skills
  • Attention to detail

 

Knowledge, Skills, and Abilities:

  • 3-D motion capture systems and biomechanical modeling (OpenSim, Visual 3D, Anybody)
  • Computer vision and IMU-based motion capture
  • Machine learning and deep learning modeling

 

Why Texas A&M University?   

We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration.  Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you.  Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes.   

  • Professional Development: All employees have access to free LinkedIn Learning training, webinars, and limited financial support to attend conferences, workshops, and more   
  • Living Well, a program at Texas A&M that has been built by employees, for employees 

 

Instructions to Applicants: Applications received by Texas A&M University must either have all job application data entered, or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to pre-populate the online application.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

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About Texas A&M University System

The Texas A&M University System is one of the largest systems of higher education in the nation, with a statewide network of twelve universities, eight state agencies, a comprehensive health science center, Texas A&M-Fort Worth and Texas A&M-RELLIS. The A&M System is committed to providing an educational and work environment that is conducive to the personal and professional development of each employee. Each member institution provides equal opportunity and access to all students, employees and prospective employees.

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