Postdoctoral Researcher

G/R27492P

Postdoctoral Researcher

Franklin-Biochemistry

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://(Use the "Apply for this Job" box below).). 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 3,100 faculty and more than 7,700 full-time staff. The University’s enrollment exceeds 41,000 students including over 31,000 undergraduates and over 10,000 graduate and professional students. Academic programs reside in 19 schools and colleges, including our newly formed School of Medicine.

Employee

11/15/2024

10/01/2024

Yes

Athens Area

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 the accessibility of materials related to this search are encouraged to contact Central HR (hrweb).

The University System of Georgia is comprised of our 26 institutions of higher education and learning, as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards.

More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at https://_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at https:///C2653.

The ideal candidate should be familiar with state-of-the-art machine learning techniques, including, for example, protein language models, representation learning, diffusion models and self-supervised learning techniques. The candidate will work with a team of world-class scientists to develop and fine tune protein language models for proteomics and biological sequence analysis. The candidate will also assist in writing annual reports for the project and developing materials for user and graduate student training.

70

Training graduate and undergraduates working on the project

10

• Developing materials for user training and assisting with summer workshops on AI and glycobiology
• Other duties as assigned

20

Post-Doctoral Associate AD

Exempt

1.00

This position is funded as part of the NSF Biofoundry project to develop large language models for biological sequence analysis. Specifically, the candidate will develop and fine tune protein language models for glycoenzyme classification, engineering and function prediction and work closely with other project personnel to test predictions generated from LLMs. The candidate will also provide written reports of project updates and develop course materials for user training.

No

No

No

No

No

No