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13 дней назад

Postdoctoral Researcher (Computational Fluid Dynamics)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Postdoctoral Researcher (Computational Fluid Dynamics): Conducting high-fidelity simulations of wall-bounded flows, separated flows, wakes, and airfoils with an accent on turbulence, computational methods, and data-driven modeling. Focus on developing and validating CFD tools, analyzing large-scale simulation data with high-performance computing, and studying complex flow phenomena including separation, relaminarization, and wake dynamics.

Location: Main Campus, College Station, Texas, United States

Company

Texas A&M Engineering, part of the Texas A&M University System, conducts basic and applied engineering research, workforce development, and technology transition.

What you will do

  • Conduct research in fluid dynamics, turbulence, and computational fluid dynamics.
  • Develop and perform high-fidelity simulations of boundary layers, separated flows, wakes, and airfoils.
  • Develop and validate computational methods, including particle-tracking and flow-analysis tools.
  • Use high-performance computing for large-scale simulations and data analysis.
  • Analyze turbulence, flow separation, relaminarization, and wake behavior to support physics-based and data-driven models.
  • Collaborate with faculty, students, and external research partners; prepare technical reports, conference presentations, publications, and mentor graduate and undergraduate students.

Requirements

  • Doctorate degree required.
  • Strong background in fluid dynamics, turbulence, computational fluid dynamics, and scientific computing.
  • Experience with high-fidelity simulation methods such as DNS and/or spectral or high-order numerical methods.
  • Experience using high-performance computing systems.
  • Experience with Lagrangian particle tracking and Eulerian-Lagrangian data analysis.
  • Experience with wall-bounded turbulence, pressure-gradient flows, flow separation, or wake dynamics.
  • Strong written and verbal communication skills.

Nice to have

  • Ph.D. in Aerospace Engineering, Mechanical Engineering, Applied Mathematics, Physics, or a related field.
  • Familiarity with reduced-order modeling, surrogate modeling, or physics-informed machine learning.

Culture & Benefits

  • Full-time staff position in a multidisciplinary, multi-university research environment.
  • Medical, prescription, vision, dental, life, and long-term disability insurance options.
  • Defined-benefit retirement plan with an 8.25% employer contribution, plus voluntary retirement programs.
  • Paid holidays, vacation and sick leave, flexible spending accounts, wellness programs, and work-life balance support.
  • Training through LinkedIn Learning, professional development opportunities, tuition assistance, and educational release time.
  • Employment requires completion of the federal I-9 process and proof of authorization to work in the United States. Positions are security-sensitive and subject to a criminal history investigation and credential verification.

Hiring process

  • Submit a resume or CV, three work references with contact information including at least one supervisor or former supervisor, and several representative publications.
  • All required job application data must be entered; incomplete submissions may be rejected as invalid.

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