Opportunities in the UT Austin Smart Structures Research Group

The UT Austin Smart Structures Research Group (SSRG) is accepting applications for a PhD student as well as a postdoc for Spring 2022. Please see the descriptions for both positions below.


Postdoctoral Researcher Position
Postdoc position opening in ultrasonic sensing systems, particularly in the context of nondestructive evaluation and structural health monitoring. Applicants are expected to have experience and background in wave mechanics and signal processing. The research will focus on developing a sensing system for the inspection and monitoring of dry cask storage systems used in nuclear power plants.

Responsibilities: i) perform state-of-the-art research in ultrasonic sensing methods for damage detection and characterization in metallic structures (including software development and modeling of wave-propagation phenomena); ii) develop new research plans and co-author research proposals; iii) supervise and train undergraduate or graduate students; iv) author professional presentations, professional reports, and publications; and v) present research at professional conferences.

Qualifications: i) a Ph.D. in Mechanical Engineering or closely related field; ii) demonstrated ability to conduct original research as evidenced by high-quality journal publications; iii) outstanding English language oral and written communication skills; iv) a strong work ethic with the ability to work independently as well as in a research group; and vi) evidence of good project/laboratory management skills.

Compensation includes a competitive stipend based on the candidate’s experience. Initial appointment will be for one year, with the possibility of extension based on funding and the direction of the research.
Interested candidates are encouraged to submit, as soon as possible, a curriculum vitae, a list of three references, and a cover letter including a description of prior research experience, by email to Dr. Salamone.

Prospective Ph.D. student
Ph.D. students will address specific problems within the areas of structural health monitoring (SHM), nondestructive evaluation (NDE), ultrasonic sensing methods for smart structures, wave propagation in solids, digital signal/imaging processing and pattern recognition. Ph.D. student candidates are expected to have a solid research experience in Mechanical Engineering and have a M.S. or equivalent degree in Engineering, Mathematics, or Physics. Compensation includes full tuition coverage and a competitive stipend. Interested candidates are encouraged to submit, as soon as possible, a curriculum vitae, a list of three references, and a cover letter including a description of prior research experience, by email to Dr. Salamone.