{"id":3157406,"url":"https://alion.io/job/virginia-tech-postdoctoral-associate-9","title":"Postdoctoral Associate","company":{"id":35633,"name":"Virginia Tech","domain":"vt.edu","url":"https://alion.io/company/virginia-tech-news","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"PageUp","truth_index":{"grade":"B","score":78,"open_postings":40,"ghost_share":0,"stale_share":0.875,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Blacksburg, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":89000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":849},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-08-26T01:20:00Z","employer_posted_date":"2026-10-31","last_verified_at":"2026-11-03T18:08:14Z","board_verified":true,"closed_at":null,"days_open":69,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":69},"description":"Job Description\nThe STRETCH Lab at Virginia Tech seeks applications for a Postdoctoral Associate to conduct research in computational biomechanics and data-driven modeling as part of a multidisciplinary research program in women’s health. The successful candidate will develop and implement computational models of biological tissues, analyze and integrate experimental and computational data, contribute to model validation and predictive modeling efforts, and work collaboratively with faculty, postdoctoral researchers, and graduate and undergraduate students. The candidate will also contribute to the preparation of peer-reviewed publications and scientific presentations and will assist in mentoring students involved in related research activities.\nRequired Qualifications\nPh.D. in Mechanical Engineering, Biomedical Engineering, Engineering Mechanics, Computational Science, Applied Mathematics, or a closely 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.\nDemonstrated experience in computational mechanics, biomechanics, or computational modeling.\nExperience with scientific programming using Python, MATLAB, C/C++, or similar computational tools.\nDemonstrated record of scholarly research, including peer-reviewed publications.\nPreferred Qualifications\nStrong scientific writing skills and ability to communicate research findings clearly and effectively.\nStrong oral presentation skills, with experience presenting research to scientific or technical audiences.\nAbility to work independently, take ownership of research activities, and contribute effectively to collaborative research.\nAbility to work effectively with undergraduate and graduate students and contribute to their research training and mentoring.\nStrong organizational, analytical, and interpersonal skills.\nExperience in one or more of the following areas: soft tissue biomechanics, constitutive modeling, finite element analysis, parameter estimation, uncertainty quantification, or data-driven modeling.\nExperience developing and validating computational models.\nExperience integrating experimental data with computational models.\nExperience preparing manuscripts for publication in peer-reviewed journals.\nExperience presenting research at scientific conferences or professional meetings.\nPrevious experience mentoring or supervising undergraduate or graduate researchers.\nDemonstrated ability to collaborate effectively across disciplines.\nOvertime Status\nExempt: Not eligible for overtime\nAppointment Type\nRestricted\nSalary Information\n$62,232 commensurate with qualifications and experience\nHours per week\n40\nReview Date\nSeptember 14, 2026\nAdditional Information\nThe successful candidate will be required to have a criminal conviction check.\nAbout Virginia Tech\nDedicated 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.\nVirginia 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.\nVirginia 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.\nIf you are an individual with a disability and desire an accommodation, please contact Amanda Collins at  during regular business hours at least 10 business days prior to the 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