Post-Doctoral Associate – Song

Posting Details

Position Details

Posting Number G/R23152P

Working Title Post-Doctoral Associate – Song

Department ENGR-Electrical & Computer

About the University of Georgia

Since our founding in 1785, the University of Georgia has operated as Georgia’s oldest, most comprehensive, and most diversified institution of higher education (https://www.uga.edu/). The proof is in our more than 235 years of academic and professional achievements and our continual commitment to higher education. UGA is currently ranked among the top 20 public universities in U.S. News & World Report. The University’s main campus is located in Athens, approximately 65 miles northeast of Atlanta, with extended campuses in Atlanta, Griffin, Gwinnett, and Tifton. UGA employs approximately 3,000 faculty and more than 7,700 full-time staff. The University’s enrollment exceeds 40,000 students including over 30,000 undergraduates and over 10,000 graduate and professional students. Academic programs reside in 18 schools and colleges, as well as a medical partnership with Augusta University housed on the UGA Health Sciences Campus in Athens.

About the College/Unit/Department

College/Unit/Department website https://engineering.uga.edu/

Employment Type Employee

Additional Schedule Information

Full-time, 40 hours per week. Tentative start date of 11/1/23.

This is a 1-year appointment with the possibility of the position extending into a 2-year appointment based on job performance and continuation of funding.

Advertised Salary $55,000

Anticipated Start Date 11/01/2023

Posting Date 08/31/2023

Closing Date

Open Until Filled Yes

Special Instructions to Applicants

Along with your application, please upload your CV/resume, unofficial transcripts, and 3 professional references (name, title, and contact information).

Location of Vacancy Athens Area

EOO Statement

The University of Georgia is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ethnicity, age, genetic information, disability, gender identity, sexual orientation or protected veteran status. Persons needing accommodations or assistance with the accessibility of materials related to this search are encouraged to contact Central HR (hrweb@uga.edu).

Duties/Responsibilities

Duties/Responsibilities

Conduct research and development.

Percentage of time 60 Duties/Responsibilities

Coordinate the project and team members.

Percentage of time 30 Duties/Responsibilities

Manage events with project partners.

Percentage of time 10

Position Details

Position Information

Classification Title Post-Doctoral Associate AD

FLSA Exempt

UGA Job Code

FTE 1.00

Minimum Qualifications

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 the research and scholarship in Cyber-Physical Systems including but not limited to power and health systems.

The College invites applications for multiple postdoc positions in Advanced Signal Processing and Artificial Intelligence in Cyber-Physical Systems. These positions seek to identify highly qualified candidates with expertise at the intersection of data science and artificial intelligence with Cyber-Physical Systems and Security, in particular IoT, power and healthcare systems. We particularly look for strong candidates with fundamental and applied research on these two areas: (a) Advanced Signal Processing, (b) Deep Learning Interpretability and Domain Generalization. This 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).

This position will develop a vigorous, high-impact, externally funded research program; manage the CCPS’s outreach and proposal missions; effectively mentor undergraduate and graduate students; and contribute to the overall environment within the University.

Relevant/Preferred Education, Experience, Licensure, Certification in Position

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

Preference given to candidates who exhibit:

  • A strong record of research, scholarship, and instruction that is commensurate with the stage in their 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.

Knowledge, Skills, Abilities and/or Competencies

Physical Demands

Typical for office and lab environments.

Is this a Position of Trust? Yes

Does this position have operation, access, or control of financial resources? No

Does this position require a P-Card? No

Is having a P-Card an essential function of this position? No

Is driving a requirement of this position? No

Does this position have direct interaction or care of children under the age of 18 or direct patient care? No

Does this position have Security Access (e.g., public safety, IT security, personnel records, patient records, or access to chemicals and medications) Yes

Contact Information

Recruitment Contact

Contact Details

For questions concerning this position or recruitment progression, please refer to the Recruitment Contact listed below.

Recruitment Contact Name Amanda Frances Mooney

Recruitment Contact Email afm19918@uga.edu

Recruitment Contact Phone 706-542-5263

Posting Specific Questions

Required fields are indicated with an asterisk (*). Applicant Documents Required Documents

  1. Resume/CV
  2. Unofficial Transcripts
  3. List of References with Contact Information

Optional Documents

Job Category
Computer and IT
Job Type
unspecified
Salary
USD 55,000.00 per year
Country
United States
City
Athens
Career Level
unspecified
Company
University of Georgia
JOB SOURCE
https://www.ugajobsearch.com/postings/340584