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Closing Date:
Type of Position:
Research
Workstudy Position:
No
Job Type:
Regular
Work Shift:
Sponsorship Available:
No
Institution Name:
University of Arkansas at Little Rock
The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation.
Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply link/button.
If you have a disability and need assistance with the hiring process please contact Human Resources at 501-916-3180.
For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-916-3180.
Department:
Information Science
Department's Website:
Summary of Job Duties:
The Data Life Cycle and Curation Theme aims to achieve automated heterogeneous data curation. While we have already developed the Data Washing Machine System for Data Quality, our research goal is to create fully automated processes for all phases of the data life cycle. We seek a Postdoctoral Fellow with expertise in Large Language Models (LLMs) to achieve this. This individual will be critical in developing customized LLMs and integrating them with our existing system. Additionally, the expertise of the postdoctoral staff will benefit not only the DART project but also other faculty members who require LLM-related skills. Ultimately, this position will contribute to Arkansas’ economic development by strengthening our capabilities in generative AI. This position is governed by state and federal laws and agency/institution policy.
Qualifications:
Required Education and/or Experience:
A Ph.D. in Computer Science, Information Science, or related technology field;
Proof records of success in research, including peer-reviewed publications in Large;
Language Model, Generative Al, and Data Quality;
Experience in customizing open-source large language models, including Llama 2 from Meta and Gemma from Google for data quality.
Job Duties and Responsibilities:
Create a method for customizing LLMs specifically tailored to data phases such as data blocking, entity matching, and entity resolution within the data lifecycle;
Implement the developed method using open-source LLMs, including tools like Llama from Meta;
Evaluate the effectiveness of the LLM-based solutions using both synthetic and real-world data;
Integrate the LLM solutions seamlessly into the Data Washing Machine for automated heterogeneous data curation;
Develop HPC solutions utilizing high-performance GPU clusters to enhance efficiency and scalability.
Knowledge, Skills, and Abilities:
Good communication and teamwork skills;
Strong skill in large language model customization techniques including prompt engineering, model fine-tuning, and model alignment.
Additional Information:
Salary Information:
$60000
Required Documents to Apply:
List of three Professional References (name, email, business title), Resume
Optional Documents:
Special Instructions to Applicants:
Recruitment Contact Information:
Zach Hendricks, Program Coordinator, 501-916-3951
All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS
Please do not send to listed recruitment contact.
Pre-employment Screening Requirements:
Criminal Background Check, Sex Offender Registry
The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.
The University of Arkansas is an equal opportunity, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.
Persons must have proof of legal authority to work in the United States on the first day of employment.
All application information is subject to public disclosure under the Arkansas Freedom of Information Act.
Constant Physical Activity:
Manipulate items with fingers, including keyboarding, Sitting
Frequent Physical Activity:
Standing, Stooping
Occasional Physical Activity:
Crouching
Benefits Eligible:
Yes