Postdoctoral Associate Transportation Packaging and Distribution Systems Research

Job Description

Transportation Packaging and Distribution Systems Research

The department for Sustainable Biomaterials and its Center for Packaging and Unit Load Design (CPULD) at Virginia Tech are an internationally recognized leader in distribution packaging research and innovation. Our state-of-the-art laboratory facilities include advanced testing equipment for vibration analysis shock dynamics compression testing and thermal performance evaluation. Through collaborative partnerships with industry and government agencies we conduct cutting-edge research in transport packaging performance unit load design cold chain logistics and sustainable packaging systems addressing critical challenges in product protection supply chain optimization and distribution system efficiency.

We seek a highly motivated and collaborative researcher with expertise in engineering materials science or related computational fields to contribute to our research program focused on transport packaging optimization and distribution systems. Current research initiatives include developing advanced vibration analysis methodologies for wooden packaging systems predictive modeling for packaging performance and optimization of packaging designs for high-value product distribution. The ideal candidate will bring strong analytical and experimental skills to address challenges in packaging dynamics product protection and sustainable packaging solutions.

The individual will be responsible for:
Design and conduct experimental research on transport packaging performance including vibration shock and compression testing of packaging systems.
Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations.
Investigate logistics optimization strategies for packaging and distribution systems including unit load design and supply chain efficiency.
Collect process and analyze experimental data from mechanical testing equipment; prepare technical reports and presentations.
Conduct comprehensive literature review and analysis of existing vibration data conversion methodologies assessing their applicability to wooden packaging systems.
Develop practical design guidelines simplified analytical models and best practices documentation for industry implementation of vibration testing and design optimization.
Prepare research findings for publication in peer-reviewed journals and present results at national and international conferences.
Collaborate with industry partners on applied research projects and technology transfer initiatives including workshop delivery and distribution of design tools.
Mentor graduate students on research projects and laboratory procedures.
Participate in the development of grant proposals for external funding from NSF USDA NIFA and other federal agencies.
Limited teaching or outreach responsibilities may be assigned depending on interest and departmental needs.
Given the nature of this work this position is not eligible for telework.

Required Qualifications

Ph.D. in Packaging Science Wood Science Mechanical Engineering Industrial and Systems Engineering Wood Science or related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
Strong background in computational mechanics structural dynamics or wood mechanics.
Experience with finite element analysis and modal analysis techniques.
Experience with vibration analysis dynamic testing or mechanical systems characterization.
Proven record of publishing refereed journal articles and presenting at professional conferences.
Strong understanding of experimental design data collection and statistical analysis.
Ability to work both independently and collaboratively in an interdisciplinary research environment.
Excellent technical writing communication and interpersonal skills.
Ability to lift or carry 50 lbs obtain and maintain a valid Virginia Drivers license.
Position requires considerable walking standing stooping and bending and requires the use of personal protective equipment.

Preferred Qualifications

Experience applying machine learning models to structural systems predictive modeling or optimization problems related to packaging or mechanical systems.
Background in logistics optimization supply chain modeling or distribution network analysis.
Familiarity with vibration data analysis techniques.
Experience with Monte Carlo simulation uncertainty quantification or sensitivity analysis.
Programming skills in Python MATLAB R or similar computational platforms.
Experience with data acquisition systems accelerometer arrays and sensor integration for dynamic testing.
Knowledge of packaging performance testing standards (ASTM D4169 ISTA) and test protocol development.
Experience with wood material properties orthotropic material modeling or joint behavior under cyclic loading.

Pay Band

lPayScaleID

Overtime Status

Exempt: Not eligible for overtime

Appointment Type

Restricted

Salary Information

Hours per week

40

Review Date

December 8 2025

Additional Information

The successful candidate will be required to have a criminal conviction check.

About Virginia Tech

Dedicated to its motto Ut Prosim (That I May Serve) Virginia Tech pushes the boundaries of knowledge by taking a hands-on transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world Virginia Tech is an inclusive communitydedicated to knowledge discovery and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36000 undergraduate graduate and professional students in eight undergraduate colleges a school of medicine a veterinary medicinecollege Graduate School and Honors College. The university has a significant presence across Virginia including Blacksburg the greater Washington D.C. area the Health Sciences and Technology Campus in Roanoke sites in Newport News and Richmond and numerous Extension officesand research institutes. A leading global research institution Virginia Tech conducts more than $650 million in research annually.

Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective along with opportunities for unique and impactful professional development.

Virginia Tech does not discriminate against employees students or applicants on the basis of age color disability sex (including pregnancy) gender gender identity gender expression genetic information ethnicity or national origin political affiliation race religion sexual orientation or military status or otherwise discriminate against employees or applicants who inquire about discuss or disclose their compensation or the compensation of other employees or applicants or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation please contact Trish Colleyat regular business hours at least 10 business days prior to the event.

Required Experience:

IC