Post-Doctoral Fellow in Acoustics AF

Post-Doctoral Fellow - Acoustics

Position Summary:

The School of Mechanical and Aerospace Engineering at Oklahoma State University invites applications for a Post-Doctoral Fellow position to join Prof.

Yangfan Liu’s research group. The successful candidate will lead interdisciplinary research at the intersection of machine learning, physical and computational acoustics, vibration/noise control, and signal processing.

This is a postdoctoral appointment intended for candidates seeking to contribute and manage ongoing sponsored research projects and supervise students. Ideal candidates will have a strong cross-disciplinary background in acoustics, audio/speech or acoustic signal processing, computational acoustics, and modern machine learning. Key responsibilities include conducting independent research, developing AI-acoustics methodologies with strong practical and translational value, managing projects, contributing to proposals and sponsor reports, preparing high-quality peer-reviewed publications, and mentoring graduate and undergraduate students.

The position offers opportunities to collaborate with academic researchers, industrial partners, and students across multiple disciplines.

• Develop machine learning, deep learning, and physics-aware models for acoustics, vibration, NVH, audio/speech, and signal-processing applications.
• Build surrogate models, inverse-design frameworks, and data-driven optimization methods for acoustic materials, computational acoustics, compressor/vehicle-cabin acoustics, or related vibroacoustic systems.
• Design and perform experiments to validate developed methodologies and build proof-of-concept demos.
• Prepare peer-reviewed publications in leading journals and conferences in acoustics, signal processing, machine learning, mechanical engineering, and related fields.
• Develop reproducible code, analysis pipelines, and technical documentation to support research dissemination and technology transfer.

• Manage day-to-day project tasks to meet sponsor requirements, research milestones, and publication timelines.
• Coordinate research activities among faculty, students, and external collaborators; organize technical meetings and track deliverables.
• Provide technical leadership on model development, data analysis, simulation/measurement workflows, and manuscript preparation.

• Contribute to research proposals for federal agencies, industry sponsors, and university-industry collaborative programs.
• Assist with grant management, sponsor communications, technical reporting, and partnership development.
• Represent the research group at conferences, workshops, sponsor meetings, and professional events.
• Participate in peer review, professional societies, and academic service activities as appropriate.

• Mentor graduate and undergraduate students in machine learning, acoustics, signal processing, simulation, and data analysis.
• Guide students in research planning, coding practices, experiment/simulation design, data interpretation, technical writing, and presentations.

• 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, or related areas.
• Demonstrated expertise in machine learning or AI methods, such as deep learning, physics-informed or physics-aware learning, surrogate modeling, inverse design, generative models, optimization, or uncertainty-aware modeling.
• Strong record of scholarly research, including first-author or…