Post-Doctoral Associate in Industrial Engineering

Employer
UMD, Mechanical & Industrial Engineering
Location
Minnesota, United States
Salary
Competitive Salary
Posted
Apr 05, 2021
Employment Level
Post-Doc
Employment Type
Full Time

Special Notice for Covid-19:

The UMN has suspended hiring for most positions.  However, we will continue hiring for positions critical to the University’s mission and operations at this time.  Applications are being accepted for this position and you are encouraged to apply.  In-person interviews are suspended indefinitely and will be replaced by interviews in a virtual format.  Thank you for your continued interest in working at the University of Minnesota.

 

About the Job:

Applications are invited for a McKnight Foundation sponsored postdoctoral associate (job code 9546) in the Mechanical and Industrial Engineering Department (MIE) in the Swenson College of Science and Engineering (SCSE) at University of Minnesota Duluth (UMD). The position may be renewed for up to two years based on performance and availability of funding. This is a 12-month teaching and research position beginning July 1, 2021 or later with teaching duties (2 courses annually) in the MIE department or other departments depending on candidate qualifications and need. The remainder of the time will be engaged in research, with Dr. Turuna Seecharan, in the areas of, Sustainable Transportation, Human Behavior and Data Science, and Social and Economic Sciences.

Job Duties

Teaching (50%): Teach two courses annually in the Department of Mechanical and Industrial Engineering or other departments depending on qualifications. Develop course content as needed.

Research (50%): Participate in on-going research projects on gamification and eco-driving and sustainable transportation. Co-author and present research papers in peer-reviewed journals and conferences. Co-author grant proposals to internal and external agencies. Participate in collaborative meetings with internal and external faculty members. Supervise undergraduate and Master’s students.

Required Qualifications

  • An earned doctorate degree from a regionally accredited university in Industrial Engineering, Systems Engineering, Management Sciences or any relevant field

Preferred Qualifications

  • Solid background in human dimensions in engineering applications, data analytics, and social and behavioral sciences.
  • Experience using Shiny from Rstudio
  • Highly motivated team player, passionate about teaching, fluent in English with good writing skills.
  • Experience in driver behavior research and/or decision sciences.

How to Apply:

Applications must be submitted online.  To apply, go to https://humanresources.umn.edu/jobs and search for job ID 339840First, submit the application with cover letter and CV/resume in pdf format.  Then, return to the “My Job Applications” page to attach the additional documents, also in pdf format.  Complete applications include the online application, cover letter, and resume/CV, plus additional documents as follows:  (1) contact information for 3 current professional references and (2) teaching/research philosophy and (3) diversity statement.  Even if you provide this information within the application, you must also attach the requested additional documents.   Please do not miss this important step in the application process.  Applications missing any of these documents may not be reviewed.

 

Applicants must be able to demonstrate authorization to work in the United States at the University of Minnesota Duluth by the start date.  Final candidates may be asked to provide additional information.

 

Completed applications will be reviewed beginning April 26, 2021 and continue until the position is filled.  Please send any inquiries to Tracy Shaw at 218-726-6161 or mie@d.umn.edu.

 

If you need a reasonable accommodation for any part of the application and hiring process, please contact a University of Minnesota Access Consultant at 612-624-3316.

 

The University of Minnesota is an equal opportunity educator and employer.  Veterans and individuals from underrepresented groups are encouraged to apply.