Post-Doctoral Fellow in Acoustics AF7771

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 Lius 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.

Responsibilities and Duties

50% Research

• 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.

20% Research Management

• 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.

20% Proposal Development & Professional Service

• 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.

10% Student Mentoring

• 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.

Qualifications:

• 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 major-contribution publications in high-quality peer-reviewed journals and conferences.
• Experience with numerical simulation experimental/measurement data acoustic materials/structures vehicle-cabin acoustics HAV equipment noise aerodynamic noise or speech/audio systems is preferred.
• Proficiency in research programming and data analysis preferably using Python and ML frameworks such as PyTorch or TensorFlow; experience with MATLAB COMSOL FEM/CFD/acoustic tools or signal-processing toolchains is a plus.
• Demonstrated ability to communicate complex technical concepts clearly in reports manuscripts presentations and interdisciplinary team settings.
• Experience mentoring students coordinating research tasks leading collaborative projects or managing team deliverables is strongly preferred.

SALARY AND BENEFITS:

Salary will be commensurate with education experience qualifications appointment percentage and contingent on available funding. Benefits if applicable will follow Oklahoma State University policies for part-time postdoctoral appointments. Applicants should refer to Oklahoma State University Human Resources for current benefits information.

SPECIAL INSTRUCTIONS TO APPLICANTS:

The process of reviewing applications will begin soon and will continue until a successful candidate is selected.

Interested and qualified candidates should submit a single PDF file including:

• a cover letter addressing research interests relevant experience and skills that fulfill the requirements;
• a Curriculum Vitae;
• up to three representative publications.

Questions about the position should be directed to Liu at .