USC Post-doc Position on Data Science for Engineering Applications (Position filled)

Posting Date: June 5, 2020

Application Deadline: Open until filled

Prof. Huang's Lab, in the Epstein Department of Industrial and Engineering at the University of Southern California (HuangLab.usc.edu), seeks applicants for a postdoctoral scholar working in Data Science for Engineering Applications. Project goals focus on, but not limited to, developing AI and Machine Learning algorithms for non-intrusive inspection and maintenance systems with imaging data.  The duration of the initial appointment will be for one year. The position is can be renewable based on research productivity, performance and funding. Performance review is conducted every six months.

USC provides outstanding benefits for post-doc scholars. Policy regarding minimum salary and benefit can be found at https://policy.usc.edu/postdoctoral-scholars/.

Duties & Responsibilities:
The postdoctoral scholar will be expected to take a leading role in developing machine learning algorithms and defect detection methods for non-intrusive inspection and maintenance systems. Other than top-notch publications, the postdoctoral scholar is expected to prepare project reports, supervise and collaborate with junior PhD students, and attend conferences to present his/her research work. 

Stating date: September 16, 2020

Contact: Prof. Huang (Email: qiang.huang@usc.edu)

Note: This announcement might be updated with more details.