37.3418, Jobs: Computational Linguistics: Computational Linguist, Applied Research Laboratory for Intelligence and Security (ARLIS)

Tue Oct 20 09:05:02 UTC 2026

LINGUIST List: Vol-37-3418. Tue 20 Oct 2026. ISSN: 1069 - 4875.

Subject: 37.3418, Jobs: Computational Linguistics: Computational Linguist, Applied Research Laboratory for Intelligence and Security (ARLIS)

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Date: 14-Oct-2026
From: Donovan Wright [dwright at arlis.umd.edu]
Subject: Computational Linguistics: Computational Linguist, Applied Research Laboratory for Intelligence and Security (ARLIS)

Job Location: Maryland, USA
Job Title: Computational Linguist
Job Rank: Rank Open
Salary: $150,000 - $180,000

Minimum Education: Doctoral degree in a relevant field, from an
accredited college or university.

Specialty Areas: Computational Linguistics

Description:
Organization's Summary Statement:
The Applied Research Laboratory for Intelligence & Security (ARLIS) at
the University of Maryland is a University-Affiliated Research Center
(UARC) dedicated to advancing research, innovation, and technology
transition to improve decision making for U.S. national security.
ARLIS combines deep scientific expertise with operational insight to
address challenges in intelligence analysis, cybersecurity, artificial
intelligence / machine learning, quantum science, and human-machine
teaming. Researchers, scientists, engineers, and analysts at ARLIS
collaborate with government agencies, industry partners, and academic
institutions to deliver actionable insights and transformative
solutions through research and development. Employees at ARLIS work on
projects of critical importance, contribute directly to the nation’s
security, and are supported by a culture that values integrity,
collaboration, and professional growth.
The Computational Linguist will contribute to a portfolio of
government-sponsored projects addressing emerging challenges in areas
such as autonomy, decision support, cyber operations, information
warfare, open-source intelligence (OSINT), and natural language
processing. Positions may include a focus on research development,
prototyping, experimentation, systems integration, or field
deployment. Final appointment title and responsibilities will be based
on qualifications and matched to programmatic needs.
Must be able to obtain a US security clearance. If selected, must meet
the requirements for access to classified information and will be
subject to a government security clearance investigation that includes
criminal and credit history checks, as well as verification of U.S.
citizenship, birth, education, employment, and military history.
Final offer is contingent upon the candidate’s ability to successfully
obtain the necessary interim Secret security clearance, as determined
by ARLIS, prior to commencing employment.
Knowledge, Skills, and Abilities:
 - Advanced knowledge of Python for all-purpose use/application to a
variety of problems (comfort with all commonly used aspects of the
language, with general scripting, data science, task automation, data
collection, etc.), plus demonstrated evidence of 1+ years of regular
use for professional/research purposes involving NLP. 5+ years of
regular use for professional/research purposes preferred.
 - Skill in the use of Microsoft Office products.
 - Skill in troubleshooting system errors.
 - Ability to multi-task and prioritize assignments.
 - Ability to analyze situations and determine the best recourse for
response.
Minimum Qualifications:
Education:
 - Doctoral degree in a relevant field, from an accredited college or
university.
Experience:
 - Evidence of sound scholarly production.
 - Perform R&D at a level comparable to Assistant Research Scientist.
 - Evidence of sound scholarly production (e.g., conference
presentations, published journal articles, published code, published
datasets, technical reports).
 -  5 years of research experience.
 - Background in and demonstrated proficiency with computational
linguistics/natural language processing (NLP), such as through the
application of NLP to problems in candidate’s area of expertise.
 - Experience utilizing AI/ML tools (including LLMs) and supporting
technologies relevant to the enrichment and analysis of text data,
such those used in RAG pipelines, NER, sentiment analysis, general
semantic search, etc. Experience training and/or tuning models
preferred.
 - Experience with Python packages commonly used for AI/ML, text
parsing/processing, data collection, and data science preferred (e.g.,
Pandas, Numpy, BeautifulSoup or other XML/HTML parsers, experience
with web requests/scripted API utilization, scikit-learn, spaCy,
transformers, pytorch, and/or similar).
 - Experience leading applied research projects.
Physical Demands:
Sedentary work performed in a normal office environment; exerts up to
10 pounds of force occasionally and/or negligible amount of force
frequently or constantly to lift, carry, push, pull or otherwise move
objects, including the human body. Ability to attend meetings both on
and off campus. Spending long hours in front of a computer screen.
Preferences:
 Education:
 - Degree in computational linguistics or linguistics, computer
science with a focus on language technologies, or related analytic
discipline.
Experience:
 - Comfort working independently and collaboratively in a fast-paced,
evolving environment.
 - Strong organizational skills and attention to detail.
 - Active, or eligible for a security clearance; prior clearance at
SECRET or higher that is active or inactive is preferred; current
TS/SCI clearance strongly preferred.
 - Foreign language capabilities, at the advanced level.
 - Experience working with multidisciplinary project teams.
Licenses/ Certifications: N/A

Application Deadline: 06-Nov-2026
Email Address for Applications: dwright at arlis.umd.edu
Web Address for Applications:
https://umd.wd1.myworkdayjobs.com/en-US/UMCP/details/Computational-Linguist_JR105038?q=ARLIS
Application Instructions:
Please submit your application through the link below and include a
cover letter, an updated professional resume, and a list of at least
three professional references.
Application Link:
https://umd.wd1.myworkdayjobs.com/en-US/UMCP/details/Computational-Linguist_JR105038?q=ARLIS
Please note that this position is based in College Park, Maryland, and
requires an on-site presence of at least three days per week.
Contact Information:
        Donovan Wright
        Email: dwright at arlis.umd.edu

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