Post-Doctoral Associate - Song

Position Summary

The College of Engineering at the University of Georgia is seeking to grow and diversify its programs through investments in researchers with expertise in advanced signal processing and artificial intelligence as it applies to Cyber-Physical Systems including but not limited to power and health systems.

This postdoctoral position focuses on Advanced Signal Processing and Artificial Intelligence in Cyber-Physical Systems. Candidates should have expertise at the intersection of data science, AI, and Cyber-Physical Systems and Security, particularly in IoT, power, and healthcare systems. The position will be centered in the College of Engineering’s Center for Cyber-Physical Systems (CCPS) and will be supervised by the Center Director.

This is a 1-year appointment (12 months). The applicant will develop a high-impact externally funded research program, manage the CCPS’s outreach and proposal missions, mentor undergraduate and graduate students, and contribute to the overall environment of the University.

• Conduct research and development.
• Coordinate the project and team members.
• Manage events with project partners.

A Ph.D. in any engineering discipline relevant to machine learning and signal processing.

• A strong record of research, scholarship, and instruction commensurate with the stage of professional career and aligned with the areas of research and scholarship associated with this position.
• A focus on interdisciplinary scholarship that addresses critical societal challenges.

Typical for office and lab environments.

Yes

Offers of employment are contingent upon completion of a background investigation, including a criminal background check, confirmation of credentials and employment history, and, if applicable, a satisfactory credit check. A pre-employment drug test may be required for positions with high-risk responsibilities.

The University of Georgia is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, genetic information, national origin, race, religion, sex, or veteran status or other protected status. Persons needing accommodations or assistance with accessibility are encouraged to contact Central HR at hrweb.

• Salary: $55,000
• Appointment Duration: 1-year appointment (12 months), possibility of extension to 2 years based on performance.
• Type:
  Employee, Full-time, 40 hours per week
• Expected
  
  Start Date:
  
  11/01/2023