Post-Doctoral Associate

Posting Details

Posting Details

Position Number: 11817101
Title: Post-Doctoral Associate
Functional Title: Post-Doctoral Associate
Category Status: 15-Fac.Non-Tenured,Continuing Con
Applicant Search Category: Faculty
University Authorized FTE: 1.00
Unit: ENGR-Mechanical Engineering
Hiring Range Minimum:
Hiring Range Maximum:
Campus/College Information:

Founded in 1856, University of Maryland, College Park is the flagship institution in the University System of Maryland. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation’s legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation’s capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world.

Position Summary/Purpose of Position:

Multiple post-doctoral positions are available at the University of Maryland, College Park, to develop computational techniques for machine learning-assisted design of nontraditional engineering problems related to materials and their integration into engineering systems. Possible research topics include the development of data-driven techniques (such as machine learning or optimization) and computational materials techniques (such as multi-scale materials modeling).

The appointments will be in the Department of Mechanical Engineering, full-time, for at least one-year with the possibility of renewals pending satisfactory performance and funding. Remuneration will be competitive and based on qualifications. The expected start date is March 2017 but applicants will be considered on a continuing basis until the positions are filled. Some, but not all, of the positions require US citizenship.

Minimum Qualifications:

Qualified applicants will have experience in at least one of the following areas: (1) Quantitative Methods of Learning from Data and (2) Computational Materials and Simulation.


Candidates are encouraged to apply who possess:
- a PhD in Engineering, Material Science, Computer Science, Chemistry, Physics, Applied Mathematics, or a related field
- proficiency with code development and code use on large-scale computing platforms
- experience with use of databases
- a track record of scholarly research.
- strong motivation with excellent written and speaking communication skills

Additional Certifications:
Additional Information:

Please provide three (3) publications. Publications should be placed under Supplemental Documents 1 in the required documents section.

Technical inquiries about this position may be directed to: Peter W. Chung ( and Mark D. Fuge (

Posting Date: 01/18/2017
Closing Date:
Open Until Filled Yes
Best Consideration Date 03/03/2017
Physical Demands


Diversity Statement:

The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.

Applicant Documents

Required Documents
  1. Cover Letter
  2. Curriculum Vitae
  3. List of References (no emails sent from system)
  4. Supplemental Document 1
Optional Documents

Posting Specific Questions

Required fields are indicated with an asterisk (*).

  1. * How did you hear about this position?
    • UMD Job Site
    • Personal Referral
    • Washington Post
    • Baltimore Sun
    • Local Publication
    • Chronicle of Higher Education
    • Inside Higher Education
    • INDEED
    • HERC
    • Hispanic Outlook
    • Diverse Jobs
    • HigherEdJobs
    • Professional Journal
    • Listserv
    • Other
    • SimplyHired
    • CareerBliss
    • Job Fairs
    • Monster.Com
    • Craigs List