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Postdoctoral Researcher in Material Science

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Southern Methodist University
Full Time position
Listed on 2026-02-28
Job specializations:
  • Engineering
    Materials Engineer, Research Scientist
  • Research/Development
    Research Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

The Nanomaterials and Energy Systems Laboratory (NESL) at the Department of Mechanical Engineering, SMU, is seeking a highly motivated Postdoctoral Researcher with strong interests in energy storage systems and materials science. A solid hands‑on experimental foundation, coupled with strong written and verbal communication skills, is essential for active participation in the laboratory’s research activities.

Key Responsibilities
  • Design and develop novel high‑entropy materials (HEMs) targeting superior mechanical performance under extreme environments.
  • Evaluate the mechanical performance and chemical stability of HEMs under extreme conditions, including high‑temperature, high‑pressure, or corrosive exposure.
  • Optimize the composition of materials for use in additive manufacturing.
  • Develop scalable processing strategies for promising HEM systems and assess manufacturability.
Qualifications
  • Ph.D. in Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, or a closely related field.
  • Demonstrated experience in synthesis and processing of advanced structural materials, with emphasis on high‑entropy alloys, high‑entropy ceramics, and other compositionally complex materials.
  • Hands‑on expertise in material fabrication techniques such as induction melting, mechanical alloying, or sintering.
  • Strong experience in microstructural and phase characterization using techniques such as XRD, SEM, TEM, Raman, and related analytical tools.
  • Experience in studying material behavior under extreme conditions (high temperature, high pressure, corrosive environments, or dynamic loading).
  • Evidence of scholarly productivity, including peer‑reviewed publications in reputable journals.
  • Strong data analysis skills and familiarity with relevant software (Origin Pro or similar tools).
  • Ability to work both independently and collaboratively within a multidisciplinary team.
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