You are here

GRA Openings

GRA positions in the Laboratory of Sound and Vibration Research

The Laboratory of Sound and Vibration Research has two GRA positions open for students pursuing PhDs. The positions involve sponsored projects with US federal agencies and foundations. The subjects of the research include analytical dynamics, adaptive structures, and material systems. The research will balance analytical and experimental efforts. Interested students should contact Prof. Ryan L. Harne (

GRA position in the Dynamic Mechanics of Materials Laboratory

A graduate student (Master or PhD) is needed to work on a project supported by the Federal Aviation Administration (FAA). (Title: Characterization of Aircraft Materials for Dynamic Impact Loading Applications). The research deals with the development of plasticity and failure models (constitutive equations) that are used in numerical (finite element) simulations. It involves an experimental research and some numerical simulations. The Dynamic Mechanics of Materials Laboratory have a state-of-the-art equipment for testing materials over a wide range of loading conditions. It includes high speed photography, Digital Image Correlation (DIC), and high speed IR measurements. If interested please contact Professor A. Gilat ( For more information about the Dynamic Mechanics of Materials Laboratory, please visit

GRA position in the Reliability and Risk Laboratory

The Reliability and Risk Laboratory has a graduate research position opening starting Fall 2016 in the area of operator/crew support for cyber-event detection and mitigation in complex safety critical systems. The interested applicant should have background in at least one of the following: game theory; reliability, safety and risk assessment; cyber security; data fusion and displays; event classification; human behavior and digital systems. Interested parties should submit their CV to Professor C. Smidts ( copy to R. Aggarwal ( by July 8, 2016.

GRA position in the Digital Design & Manufacturing Laboratory

The newly established DDML under Prof. Jami Shah is looking for highly motivated and creative students for research projects that aim to develop the foundations for new computational tools in mechanical and structural design.

Qualifications: MS or PhD students in good standing. Good knowledge of CAD and FEA, theory & practice. Knowledge of programming languages, such as C++ and geometric tolerancing (GD&T) is highly preferred. Outstanding seniors wishing to learn digital product development.

Current and anticipated near term projects include:

Integrated optimization of automotive structural assemblies

Sponsor: Honda R&D

Topology optimization is rapidly expanding with renewed interests from several disciplines including mechanics, multi-physics, biology, computer science and mathematics. These methods have proven to be not suitable for integration with the computer-aided-design (CAD) systems. Typically, manual interpretation and post-processing are required to transform the results from topology optimization into a parametric CAD model. The project proposes to investigate the following two issues: 1) Methods to integrate topology and parametric optimization; 2) Methods to drive optimized structural designs towards manufacturable designs for selected types of automotive body panels.

Analytical Solutions for Production Variability in Complex Assemblies:

Sponsor: DMDII, part of National Network of Manufacturing Institutes; Collaborators: RollsRoyce, Siemens, ASU

Understanding the causes and effects of dimensional and geometric variations is a major concern in the design and manufacture of high performance, high value products, such as aircraft engines. In this project, a team of designers and manufacturing engineers from Rolls-Royce, software developers from a leading CAD/CAM company (Siemens PLM), academic experts from OSU/ASU Design Automation Lab will apply emerging revolutionary methods to develop, test, validate and demonstrate methods and tools that will enable mitigation of the consequences of manufacturing variability on performance and cost. We will take a two-pronged approach: pre-manufacturing (feed forward) strategy to use these new predictive 3D capabilities to minimize effect of production variability in precision assemblies, such as aircraft engines; post-manufacturing (feedback) strategy to determine optimal use of the tolerance budget to minimize accumulated effect on assemblies.

Hybrid Joint Design Explorer

Sponsor: Dept of Defense/Commerce

As companies begin to work with lighter, more exotic materials, there is a need to join dissimilar materials together in a quick, easy, and mechanically sound way. Companies are investigating alternative ways of attaching steel, aluminum, and composites in a manner that meets or exceeds the strength of a typical single material joint and is cost effective (comparable to spot welds). Four OSU faculty members are collaborating on various aspects of this problem. The role of DDML will be to collect FE simulation and experimental results in the form of design guidelines. We envision a multi fidelity knowledge based tool for guiding designers throughout the design process involving hybrid joints. The low fidelity mode will be based on heuristic knowledge. The mid fidelity tool will use response surfaces. The high fidelity tool will use simulation templates for detailed investigation. We may implement this as an independent software or use Catia KnowledgeWare to create HJ workbench inside Catia, so it can be tested by companies like Honda.

If you are interested, please contact Prof.  Jami Shah (