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 Driver's 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 April 30, 2026 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 community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges , a school of medicine , a veterinary medicine college, 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 offices and 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 Colley at colleyp@vt.edu during regular business hours at least 10 business days prior to the event.