AI-Driven Acoustics Research Postdoc

Oklahoma State University; Stillwater (OK); Hybrid; USD 42,000 - 62,000; Part time

Job summary

Oklahoma State University invites applications for a part-time Post-Doctoral Fellow in Acoustics, to lead interdisciplinary research combining machine learning, physics-based acoustics, and signal processing. The role involves independent research, management of projects, and mentoring graduate and undergraduate students under Prof.

Yangfan Liu. The successful candidate will collaborate with researchers and industry partners, develop AI-acoustics methodologies, and contribute to proposals and

Qualifications

• Ph.D. in Mechanical or Aerospace Engineering, Acoustics, Electrical and Computer Engineering, Computer Science, Applied Physics, or a closely related field.
• Strong background in acoustics, vibration/NVH, audio/speech processing, acoustic signal processing, computational acoustics.
• Demonstrated expertise in machine learning or AI methods (deep learning, physics-informed learning, surrogate modeling, inverse design, etc.).
• Strong research publication record in peer-reviewed journals/conferences.
• Experience with numerical simulation or experimental data in acoustics or related systems.

Responsibilities

• Develop ML, DL, and physics-aware models for acoustics and signal processing.
• Build surrogate models and data-driven optimization for vibroacoustic systems.
• Design and perform experiments to validate methodologies and demos.
• Prepare peer-reviewed publications and disseminate results.
• Develop reproducible code and analysis pipelines for research dissemination.

Skills

Machine learning

Acoustics

Python

Deep learning

Data analysis

MATLAB

Education

Ph.D. in Mechanical or Aerospace Engineering or related

Tools

PyTorch

TensorFlow

COMSOL

FEM/CFD

Job description

Oklahoma State University invites applications for a part-time Post-Doctoral Fellow in Acoustics, to lead interdisciplinary research combining machine learning, physics-based acoustics, and signal processing. The role involves independent research, management of projects, and mentoring graduate and undergraduate students under Prof.

Yangfan Liu. The successful candidate will collaborate with researchers and industry partners, develop AI-acoustics methodologies, and contribute to proposals and