Postdoctoral Fellow Data Analytics

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profile Job Location:

Little Rock, AR - USA

profile Monthly Salary: Not Disclosed
Posted on: 7 hours ago
Vacancies: 1 Vacancy

Job Summary

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Closing Date:


Type of Position:

Researchers


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 8900 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 Rocks thriving cultural community and a major component of the city and states growing profile as a regional leader in research technology transfer economic development and job creation.

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Department:

Information Science - Provisional Positions


Departments 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 fromMeta 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:

Xiaowei Xu


All application materials must be uploaded to the University of Arkansas System Career Site

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 institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law including age race color national origin disability religion protected veteran status military service genetic information sex sexual orientation or pregnancy. Questions or concerns about the application of Title IX which prohibits discrimination on the basis of sex may be sent to the Universitys 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
Current University of Arkansas System employees including student employees and graduate assistants need to log in to Workday via then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System will also view open positions and apply...
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Key Skills

  • Virology
  • Bioinformatics
  • Genetics
  • R
  • Biochemistry
  • Cell Biology
  • Research Experience
  • Spectroscopy
  • Cell Culture
  • Molecular Biology
  • Microscopy
  • Research Laboratory Experience

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UACCB is a two-year, accredited Arkansas community college with on-campus and online classes offering a variety of degrees and technical certificates.

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