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Postdoctoral Researcher

Tamus

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Location
College Station, TX, United States of America
Type
Full-time
Department
Education
Education
PhD
Source
Workday

Description

Job Title

Postdoctoral Researcher

Agency

Texas A&M Engineering

Department

Aerospace Engineering

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

Why work for Texas A&M Engineering?

Engineering has been part of Texas A&M University since its opening in 1876 as the Agricultural and Mechanical College of Texas. Today, the College of Engineering is the largest college on the College Station campus with more than 25,000 engineering students enrolled in 15 departments. Its mission is to serve Texas, the nation and the global community by providing engineering graduates who are well-founded in engineering fundamentals, instilled with the highest standards of professional and ethical behavior, and prepared to meet the complex technical challenges of society.

As the research arm of Engineering, the Texas A&M Engineering Experiment Station (TEES) is a state agency within the Texas A&M University System with a mission to improve lives through basic and applied engineering research, workforce development and technology transition. Our collaborations with industry, academia and government provide cutting-edge solutions to global technical challenges.

We are deeply committed to recruiting and retaining a talented workforce that embraces our core values of Respect, Excellence, Leadership, Loyalty, Integrity, and Service, by offering competitive salaries, an array of benefits, an extensive support network, and above all, an enriching and highly collaborative working community that is deeply passionate about our vision for higher education, research, and public service.

Purpose:

The Department of Aerospace Engineering at Texas A&M University seeks a Postdoctoral Research Associate to conduct research in computational fluid dynamics and turbulence. The successful candidate will perform high-fidelity simulations of wall-bounded flows with pressure gradients, separation, relaminarization, and wake dynamics; develop advanced computational tools and analysis methods; and collaborate with a multidisciplinary, multi-university research team. Research activities will support the development of physics-based and data-driven models for complex flow phenomena.


Responsibilities

  • Conduct research in fluid dynamics, turbulence, and computational fluid dynamics (CFD).
  • 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.
  • Utilize high-performance computing resources to perform large-scale simulations and data analysis.
  • Analyze simulation data to improve understanding of turbulence, flow separation, relaminarization, and wake behavior.
  • Collaborate with faculty, students, and external research partners.
  • Contribute to data-driven modeling, validation studies, and related research activities.
  • Prepare technical reports, conference presentations, and peer-reviewed publications.
  • Assist in mentoring graduate and undergraduate students.

What We Need:

  • Doctorate Degree

What Is Helpful:

  • Ph.D. in Aerospace Engineering, Mechanical Engineering, Applied Mathematics, Physics, or a related field.
  • Strong written and verbal communication skills.
  • Familiarity with reduced-order modeling, surrogate modeling, or physics-informed machine learning.
  • Strong written and verbal communication skills.
  • Familiarity with reduced-order modeling, surrogate modeling, or physics-informed machine learning.
  • Strong background in fluid dynamics, turbulence, CFD, 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.

Work Location:

  • Main Campus – College Station, TX.

About Aerospace Engineering

The Department of Aerospace Engineering is consistently rated in the top 10 programs in the United States. It provides unique, cutting-edge educational and research opportunities in areas including space exploration, national defense, and air transportation. We offer a unique environment with research spanning fundamental to applied and where students have vibrant hands-on organizations and tremendous opportunities for summer internships and co-ops.


Texas A&M Engineering provides an outstanding benefits package including but not limited to:

 

Helpful Applicant Information

Required Materials for Application:

  • Resume/CV
  • Three work references with their contact information; at least one reference should be from a supervisor/former supervisor.
  • Letter of interest (dependent upon position)

 

Applications received by Texas A&M Engineering must have all required job application data entered.

Failure to provide all job application data could result in an invalid submission and a rejected application.

Compensation Philosophy:

  • Recruit and retain high-performing workforce through competitive compensation and career development including career pathing, coaching and skills development.
  • Offer total rewards, flexible benefits, professional development, performance recognition and work-life balance.
  • Ensure resources are readily available and utilized to attract and retain the highest quality researchers, faculty, and staff.

Employment Eligibility Verification

  • If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present original and unexpired documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in delay of start date.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.

Skills

Machine Learning

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