About The Position

The Department of Polymer Science, Engineering, and Technology at Penn State Behrend is seeking a Postdoctoral Scholar to contribute to the establishment of a data-enabled autonomous polymer processing and interface engineering platform. This role, under the guidance of Prof. YuanQiao Rao, will focus on the intersection of experimental polymer science, data-driven process optimization, and industry-engaged research. The successful candidate will collaborate with faculty, students, and industry partners to develop experimental workflows that link polymer materials, processing conditions, interface formation, characterization, and performance/reliability testing. The initial research will likely concentrate on the reliability of polymer/substrate interfaces in overmolded electronics and composites, with potential expansion into coatings, membranes, and advanced polymer manufacturing. This position is ideal for an individual with a proactive approach, enthusiastic about both scientific exploration and the development of laboratory infrastructure and platforms.

Requirements

  • Ph.D. in polymer science, materials science and engineering, chemical engineering, mechanical engineering, manufacturing engineering, or a closely related field by the appointment start date.
  • Strong experimental background in at least one of the following areas: polymer processing; polymer interfaces or adhesion; coatings or thin films; composites or overmolding; mechanical testing and failure analysis; data-enabled manufacturing or automation.
  • Ability to work independently in a developing laboratory environment.
  • Strong written and oral communication skills.
  • Interest in mentoring undergraduate students.

Nice To Haves

  • Experience with injection molding, extrusion, coating, additive manufacturing, or related polymer processing methods.
  • Experience with adhesion testing, lap shear, peel testing, burst testing, leak testing, or fracture/failure analysis.
  • Experience with surface treatments such as plasma, silane chemistry, oxidation, primers, or surface cleaning protocols.
  • Experience with polymer/substrate interfaces, fiber-matrix interface, electronics packaging, or high-performance thermoplastics such as PPS, PEI, PEEK, LCP, or related materials.
  • Experience with DOE, statistical analysis, Python, LabVIEW, MATLAB, Arduino, PLCs, sensors, data acquisition, or machine-learning-assisted experimentation.
  • Experience with microscopy, FTIR, XPS, contact angle, DSC, TGA, DMA, rheology, or related characterization methods.
  • Demonstrated ability to build or improve experimental setups, workflows, or laboratory capabilities.

Responsibilities

  • Help establish a data-enabled polymer processing and characterization platform.
  • Design and execute experiments on processing–structure–interface–property relationships.
  • Develop DOE-based experimental plans for overmolding, composites, adhesion, and reliability studies.
  • Support setup of sensor-rich or semi-automated processing/testing workflows.
  • Develop SOPs for processing, testing, data capture, and sample handling.
  • Conduct mechanical, interfacial, surface, and failure analysis experiments.
  • Analyze data using statistical, DOE, and/or machine-learning-informed approaches as appropriate.
  • Mentor undergraduate students working on related projects.
  • Contribute to manuscripts, conference abstracts, technical reports, and external proposals.
  • Support industry engagement and laboratory demonstrations.

Benefits

  • Competitive benefits package for full-time employees designed to support both personal and professional well-being.
  • Postdoctoral benefits information available on a separate page.

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Education Level

Ph.D. or professional degree

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