{"id":1916575,"url":"https://alion.io/job/northeastern-university-postdoctoral-research-associate-4","title":"Postdoctoral Research Associate","company":{"id":6930,"name":"Northeastern University","domain":"northeastern.edu","url":"https://alion.io/company/northeastern","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":236,"ghost_share":0,"stale_share":0.458,"repost_share":0,"time_to_fill_p50_days":60,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Burlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60315,"max":85192,"currency":"USD","period":"year","gross":null,"usd_annual":85192},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-05T16:29:21Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-20T23:14:25Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"About the Opportunity\nJob Summary\nThe Postdoctoral Associate will conduct integrated experimental and computational research on informatics-driven mechanical characterization of solid and porous materials, supported by an NSF CMMI CDS&E award and industry-sponsored projects. The primary function of the position is to develop and cross-validate the experimental and numerical platforms of the mechanics informatics framework. On the experimental side, this involves designing and fabricating heterogeneous specimens, conducting multiaxial mechanical tests on a dual-actuator loading frame, and acquiring full-field deformation data using three-dimensional digital image correlation (DIC). On the numerical side, this involves building automated finite element and inverse-identification workflows that learn constitutive parameters from a single informative test through Bayesian optimization, together with quantification of measurement and model-form uncertainty. Approximately half of the effort will extend this framework to the constitutive modeling of porous and cellular materials, such as polymer and metal foams, and to industry-sponsored projects on the mechanical testing and qualification of battery components. The role combines hands-on experimental mechanics with rigorous simulation and data analysis and benefits from complementary expertise in scientific machine learning and constitutive modeling of anisotropic and compressible materials.\nMinimum Qualifications\nRequired\nPhD in mechanical engineering, aerospace engineering, materials science and engineering, civil engineering, or a closely related field\nZero to three years of relevant research experience in experimental and/or computational solid mechanics\nKnowledge of solid mechanics and continuum constitutive modeling, including anisotropic elasticity, plasticity, and the mechanics of porous or cellular materials\nAbility to conduct mechanical testing on electromechanical or servo-hydraulic load frames and apply full-field optical measurement techniques such as digital image correlation\nAbility to design and execute experiments on heterogeneous specimen geometries, including specimen fabrication, instrumentation, and test documentation\nKnowledge of nonlinear finite element analysis and experience with commercial or open-source finite element codes, such as Abaqus, including user-defined material subroutines\nAbility to program in Python and develop automated simulation, data-processing, and inverse-identification workflows\nFamiliarity with optimization, Bayesian inference, uncertainty quantification, or machine learning methods applied to engineering problems\nAbility to analyze and interpret experimental and simulation data, prepare peer-reviewed publications, and present results to academic and industrial audiences\nPreferred\nExperience with the mechanical characterization of battery components, foams, or other porous and layered material systems\nKey Responsibilities & Accountabilities\nDevelop and operate the experimental platform for informatics-driven characterization by designing and fabricating heterogeneous specimens, conducting multiaxial mechanical tests on the dual-actuator loading frame, and acquiring and processing full-field deformation data using three-dimensional digital image correlation\nDevelop the numerical platform by building automated finite element and inverse-identification workflows that learn constitutive parameters from global and full-field test data and performing systematic cross-validation between measured and simulated responses, including uncertainty quantification\nExtend the modeling framework to porous and cellular materials, such as polymer and metal foams, including compressible constitutive formulations, calibration against experimental data, and assessment of the framework’s transferability across material classes\nSupport industry-sponsored projects on the mechanical testing and characterization of battery components and related material systems, including test planning, execution, data analysis, and preparation of technical deliverables for sponsors\nDocument and disseminate research findings through peer-reviewed publications, project reports, and conference presentations; mentor graduate and undergraduate students; and contribute to proposal preparation and collaborative research efforts\nRequired Documents\nResume\nPosition Type\nResearchAdditional Information\nNortheastern University considers factors such as candidate work experience, education and skills when extending an offer.\nNortheastern has a comprehensive benefits package for benefit eligible employees. This includesmedical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.\nAll qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.\nCompensation Grade/Pay Type:\n108SExpected Hiring Range:\n$60,315.00 - $85,192.50With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.","description_format":"text","description_chars":5496,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Education","Higher Education"],"lifecycle":[{"event":"open","at":"2026-10-05T16:29:21Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 78 · green card filings: 13","filings_12m":78,"filings_prev_12m":82,"green_card_filings_12m":13,"median_offered_wage_usd":115357,"route":null,"cap_exempt":true,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.596,"p_room":1,"age_days":14,"expected_fill_days":60,"reasons":["conf:4","evergreen","wave","velocity","win:early","comp:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":85192,"is_top_pay":false},"html_url":"https://alion.io/job/northeastern-university-postdoctoral-research-associate-4","json_url":"https://alion.io/job/northeastern-university-postdoctoral-research-associate-4.json","meta":{"generated_at":"2026-10-21T03:46:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5508,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6930},"rest":"https://alion.io/mcp/rest/get_company?id=6930"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnortheastern-university-postdoctoral-research-associate-4"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnortheastern-university-postdoctoral-research-associate-4"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnortheastern-university-postdoctoral-research-associate-4"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/northeastern-university-postdoctoral-research-associate-4\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnortheastern-university-postdoctoral-research-associate-4"}]}