Job: Natural Language Processing Specialist (AI)

General Information
Position:
Natural Language Processing Specialist (AI)

Number position available:
1

Compensation:
Minimum salary $56,362. Actual salary will reflect selected professional’s experience and credentials

Job Category:
Other

ALA:
Position DOES NOT require a Master's degree from an ALA accredited program.

Description:

JOB SUMMARY

The George A. Smathers Libraries seek a creative, collaborative, and services-oriented  candidate to enhance research support in the areas of Natural Language Processing (NLP) and Digital Sciences. As part of UF’s partnership with Nvidia and the university’s AI Initiative (https://ai.jobs.ufl.edu/), this position leads the Smathers Libraries’ commitment to “AI for everyone”. The NLP Specialist (AI) is a year-round (12 month) tenure-track faculty position with primary responsibilities in instruction, consultation, and project work in NLP, text mining, predictive text, and related areas. The position works with library colleagues, researchers, and educators from throughout the University of Florida community to create, identify, and evaluate learning resources in the areas of NLP and Digital Sciences; advocate for the role of the Smathers Libraries in supporting related education and research; and build effective, inclusive, collaborations across the campus community.

As a member of the Academic Research Consulting and Services (ARCS) department, the NLP Specialist synergizes with existing specialists who provide expertise in bioinformatics analysis, data management, informatics, rigor and reproducibility, systematic reviews, and related areas (http://arcs.uflib.ufl.edu/). ARCS is strategically expanding its support to AI education, research, equity, and outreach, with this position formally liaising to other expert faculty hired through the university’s AI Initiative. The NLP Specialist sets a foundation in NLP for UF students from all majors, and faculty and staff interested in incorporating NLP technology and techniques to their discipline-specific teaching and research.

The library encourages team member participation in reaching management decisions and consequently the Natural Language Processing Specialist will serve on various committees and teams. To support all students and faculty and foster excellence in a diverse and collaborative society, the libraries are actively seeking candidates who bring culturally-rich lived experiences to work with individuals of diverse backgrounds, experiences, races, ethnicities, genders, sexual orientations, and perspectives. The Natural Language Processing Specialist will pursue professional development opportunities, including research, publication, and professional service activities in order to meet criteria for tenure and promotion.

RESPONSIBILITIES

  • Creates and develops strategies for the libraries’ NLP and Digital Sciences support program based on an understanding of client needs; cultivates this program into a national leader in library-based NLP and Digital Sciences support services.
  • Develops and provides NLP resource instruction and training, consultation, and other related services and responds to campus support needs that arise.
  • Provides expertise on a range of NLP-related databases and tools; directs clients to AI tools and computing resources.
  • Provides engaging and effective instruction in a variety of modes and venues that might include face-to-face, online, one-on-one, workshop, guest lecture, and credit-bearing course.
  • Identifies, evaluates, and/or creates effective materials for do-it-yourself learning in NLP subject areas.
  • Serves as the primary library liaison to faculty hired through UF’s AI initiative.
  • Participates as an active member of the ARCS department and the Health Science Center Libraries (HSCL) tenure home, including projects, planning, policy formation, and decision-making.
  • Connects with related units across campus to provide services and resources.
  • Performs scholarly research and provides service at the institutional and professional levels as related to assignment and in accordance with HSCL tenure and promotion criteria.

Education:

QUALIFICATIONS

Required:

  • Master’s degree or above in a field focused on text-mining, text-analysis or data sciences (e.g., linguistics, digital humanities, human-computer interaction, or information science)
  • For appointment at the Assistant University Librarian rank, three years of relevant experience and for appointment at the Associate University Librarian rank, eight years of relevant experience
  • Proficiency in analysis of text data, including knowledge or experience in methodologies for text mining, machine learning, document classification, and natural language processing
  • Proficiency in one or more computer languages and tools used in data analysis (e.g., R, Python, C++, Unix)
  • Familiarity with finding and accessing natural language datasets, including text- and image-format corpora
  • Record of creating and maintaining strong collaborations within a culturally-diverse user community of faculty, students, staff, administrators, or the general public
  • Knowledge of and experience in adult learning through teaching, training, and/or instruction
  • Excellent communication skills including effective presentation and writing skills
  • Strong analytical and organizational skills
  • Commitment to including individuals of diverse backgrounds, experiences, races, ethnicities, gender identities, sexual orientation, and perspectives in research, teaching, service, and other work
  • Strong potential for meeting the requirements of HSCL tenure and promotion
  • Initiative, flexibility and the ability to adapt to a complex, rapidly changing academic environment
  • Ability to work both independently and collaboratively with faculty, students, staff, administrators, and the general public

Preferred:

  • PhD in a relevant field
  • Experience and strong interest in grant writing
  • Experience with high performance computing as applied to natural language processing and/or analysis of textual data
  • Experience addressing challenges in using natural language datasets, including multilingual data, bias, creation, curation, metadata, disambiguation, etc.
  • Professional experience working in an academic research library 

Note: Research indicates that applicants from underrepresented groups are hesitant to apply for positions if they do not meet all of the required and preferred qualifications. We want to emphasize that the preferred qualifications are not required and that we are committed to helping our future colleague develop the preferred skills. Additionally, applicants are encouraged to communicate the ways in which their work fulfills the required qualifications in ways that may not be obvious.

 


Multilingual:
N/A

Job open date:
03-05-2021

Application deadline:
Open Until Filled

Apply at:
https://facultyjobs.hr.ufl.edu/posting/84729

Additional information
Library Type:
  • Academic Libraries

Job Type:
Full-time

Job Location

Physical address where the job position is located.

Job Place:
Health Science Center Library

Job Location:
Northeast Florida

Address:
PO Box 100206

City:
Gainesville

Zip:
32601

County:
Alachua


Institution Information
Institution Name :
University of Florida, George A Smathers Libraries

Address:
1545 W University Avenue

City:
Gainesville

State:
FL

Zip:
32611

Contact Information / How to apply
Contact Name:
Joseph Piazza

Contact Email:
jpiazza@ufl.edu

Contact Phone:
3522732601

Contact Fax:

How to apply

Application Process

To apply, submit

  • a cover letter detailing your interest in and qualifications for this position
  • a written statement, no more than one page, on your vision for how this libraries-based position will contribute to the goal of “AI for everyone”
  • your current resume or CV
  • a list of three references including their contact information (telephone number and email address)

Applications will be reviewed as received. Submit all application materials through the Jobs at UF online application system at Requisition 70963. Failure to submit the required documents may result in the application not being considered. If you have any questions or concerns about this process, please contact Tina Marie Litchfield, George A. Smathers Libraries Human Resources Office, at tlitchfield@uflib.ufl.edu.


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