Research Assistant (Mechanical Engineering)

The graduate student will assist with an ongoing research project focused on nonlinear dynamic modeling and testing using machine learning and a finite element approach.

He will conduct advanced experiments in modeling and analysis to find out the nonlinear stiffness and damping of the structure.

In addition, the student will design a novel experimental and simulation approach to find out the pseudo nonlinear model of a dynamic system.

Development of a nonlinear modal testing algorithm for BGA package Implement the algorithm for the test data and generate the stiffness and damping as a function of displacement Develop the data processing algorithm and write the code for data processing and data modeling Perform advanced finite element modeling and simulation for BGA package Assist the supervisor in his field of research

• Development of a nonlinear modal testing algorithm for BGA package
• Implement the algorithm for the test data and generate the stiffness and damping as a function of displacement
• Develop the data processing algorithm and write the code for data processing and data modeling
• Perform advanced finite element modeling and simulation for BGA package
• Assist the supervisor in his field of research

Minimum Education Required: BS in Mechanical Engineering Required Qualifications: Strong academic standing (minimum GPA: 3.5/4.0).

Ability to communicate effectively in English, both written and verbal.

Knowledge of dynamic modeling, simulation, and testing Desired Qualifications: Competence using software tools like MATLAB and Python Demonstrated experience in using Modal analysis using modal exciter.

Advanced knowledge in Nonlinear Vibration Modeling and Testing Knowledge in Artificial Intelligence.

Specialized skills in using a base-excited shaker table and the ability to model the nonlinear dynamic system using machine learning technique.

• BS in Mechanical Engineering
• Strong academic standing (minimum GPA: 3.5/4.0).
• Ability to communicate effectively in English, both written and verbal.
• Knowledge of dynamic modeling, simulation, and testing
• Competence using software tools like MATLAB and Python
• Demonstrated experience in using Modal analysis using modal exciter.
• Advanced knowledge in Nonlinear Vibration Modeling and Testing
• Knowledge in Artificial Intelligence.
• Specialized skills in using a base-excited shaker table and the ability to model the nonlinear dynamic system using machine learning technique.

Physical Requirements: Ability to sit or stand for extended periods while working at a computer or in a laboratory setting.

Ability to lift and carry materials or equipment weighing up to 25 lbs. occasionally.

Job conditions: Part-time position (20 hours per week max).

Work may involve both office and laboratory environments.

Occasional lifting of equipment up to 25 lbs.

Flexible schedule, but must meet deadlines and attend scheduled meetings.

Compliance with university safety and research protocols.

• Ability to sit or stand for extended periods while working at a computer or in a laboratory setting.
• Ability to lift and carry materials or equipment weighing up to 25 lbs. occasionally.
• Part-time position (20 hours per week max).
• Work may involve both office and laboratory environments.
• Occasional lifting of equipment up to 25 lbs.
• Flexible schedule, but must meet deadlines and attend scheduled meetings.
• Compliance with university safety and research protocols.

Lamar University is proud to provide employment preference to veteran applicants in accordance with Texas 805 Government Code, Section 657.003.

This position is security-sensitive and thereby subject to the provisions of the Texas Education Code §51.215, which authorizes the employer to obtain criminal history record information.

This position is not eligible for benefits.

• Yes
• No