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Careers: Computational linguistics

Careers in computational linguistics.

Computational linguists develop computer systems that deal with human language. They need a good understanding of both programming and linguistics. This is a challenging and technical field, but skilled computational linguists are in demand and highly paid. Computational linguists build systems that can perform tasks such as speech recognition (e.g., Siri ), speech synthesis, machine translation (e.g., Google Translate ), grammar checking, text mining and other “Big Data” applications, and many others.

For more details on what it’s like to work in this industry, presentations by Vita Markman and by Laura Walsh Dickey are available.

There are also linguistics jobs in the software industry that do not necessarily require much programming background— for example, speech data evaluators, linguistic data managers, annotators , and localization specialists .

How to get into computational linguistics

CSULB does not have a program in computational linguistics, but you can choose courses that will prepare you for this field. Here are the areas you should concentrate on:

  • Programming. The department of Computer Engineering and Computer Science offers a series of courses beginning with CECS 100 (Critical Thinking in the Digital Information Age) and CECS 174 (Introduction to Programming and Problem Solving). For self-study, try programming books specially aimed at linguists, such as Michael Hammonds’ books on Perl and Java , or Bird et al.’s book on Python . There are also many free online courses such as EdX’s Python course .
  • Math and statistics. Computational linguistics often uses statistical methods. LING 301 (Introduction to Research Methods) provides a basic introduction to statistics; there is also more advanced coursework available in other departments. In addition, programming requires some math background; CECS 174 has the prerequisites of CECS 100 and MATH 113, 122, or 123.
  • Linguistics. The most relevant courses for computational linguists are those that deal with structural aspects of language (syntax, semantics, phonology, phonetics), usage patterns and variation (sociolinguistics, discourse), psycholinguistics, and research methods (including corpus linguistics).
  • Natural language processing. Online courses are available – including those from National Research University , UT Austin , and  Stanford .

Further education

See MastersinAI.org for an overview of MA programs in computational linguistics. 

California universities offering programs in computational linguistics include:

  • SDSU ( Basic certificate in computational linguistics )
  • CSU Fresno ( B.A. option in Computational Linguistics )

Finding jobs and internships

Sites with job and internship postings:

  • Linguist List
  • Association for Computational Linguistics

The following are a few companies that employ computational linguists:

  • The usual tech giants: Google (including the NLP research group ), Microsoft (including the NLP research group in Redmond), Verizon Media , Apple , etc.
  • Appen Butler Hill
  • Expert System
  • Mitre Corporation  
  • MultiLingual
  • SRI International
  • Vantage Linguistics

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11 PhD jobs in Linguistics

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Two open full-time positions in Linguistics at KU Leuven (research group QLVL)

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computational linguistics phd jobs

Computational Linguistics

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The computational linguistics program at Stanford is one of the oldest in the country, and offers a wide range of courses and research opportunities.

We take a very broad view of computational linguistics, from theoretical investigations to practical natural language processing applications, ranging across linguistic areas like computational semantics and pragmatics, discourse and dialogue, sociolinguistics, historical linguistics, syntax and morphology, phonology, psycholinguistics, and phonetics and speech, and applications including machine translation, question answering, and sentiment analysis.

Uniting this wide variety of research is the shared ambitious goal of dealing with the complexity and the uncertainty of human language by integrating rich models of linguistic structure with sophisticated modern neural and statistical techniques.

Together with the  Computer Science Department , our department houses a wide variety of research labs, reading groups, and informal workshops on computational linguistics, and we also maintain close ties with industrial natural language processing work in Silicon Valley.  For more information, see the  Stanford Natural Language Processing Group  and the  CSLI Pragmatics Lab .

People in this subfield

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Assistant professor of computational linguistics.

Apply now Job no: 532065 Work type: Faculty - Tenure Track Location: Eugene, OR Categories: Foreign Languages/Linguistics, Humanities, Instruction

Department: CAS Linguistics Rank: Assistant Professor Annual Basis: 9 Month

Application Deadline

November 1, 2023; Position open filled.

Required Application Materials

• Cover letter • Curriculum Vitae • Research statement • Teaching statement • Diversity, Equity, and Inclusion (DEI) statement that highlights, in relation to the university context, (I) knowledge of, experience with, and interest in dimensions of DEI; (ii) a track record of engagement in activities that advance DEI; and (iii) plans with clear and detailed ideas for advancing DEI. Commitment to DEI can be demonstrated in a number of ways, including through teaching and research on matters related to DEI or through service that fosters DEI in a university community. Information on the UO Division of Equity and Inclusion and its goals can be consulted at inclusion.uoregon.edu/office-vice-president-equity-and-inclusion-vpei . • Names and contact information for three referees. Letters will only be requested during the interview process.

Position Announcement

The University of Oregon’s Department of Linguistics invites applications for a tenure-track position of Assistant Professor in Linguistics, to begin in fall 2024. We seek candidates specializing in computational linguistics from a cognitive science perspective with expertise in speech signal processing and/or synthesis. The successful candidate will have a research program that enhances the department’s research strengths and aligns with its intellectual framework. The successful candidate will help to prepare Linguistics students for jobs in the technology sector by teaching courses and mentoring students in computational linguistics and speech signal processing and/or synthesis. The candidate will also contribute to teaching and mentoring in the Interdisciplinary Cognitive Science minor and to educating Data Science majors. The ideal candidate will help develop a graduate-level track in computational linguistics, with the eventual goal of creating an MA-level program in the area. We particularly welcome applications from scholars who identify as belonging to communities or populations historically underrepresented in the academy, and/or whose life experience would contribute unique perspectives to the department and university. Only applicants who aspire to excellence in teaching students from diverse backgrounds at the undergraduate and graduate levels will be successful.

Department or Program Summary

We are a growing department structured in its research and graduate program around 3 broad themes: language processing & human health; language learning & technology; linguistic diversity & society. We share a usage-based approach to understanding language, with strengths in experimental linguistics, laboratory phonology, language learning and teaching, language description and revitalization, and language change. The department has strong undergraduate and graduate programs, including a BA/BS in linguistics, an MA in language teaching, and PhD in linguistics. We are committed to growing our undergraduate minors in interdisciplinary cognitive sciences and increasing course offerings for data science majors, where linguistics is a core domain of application. See more at: linguistics.uoregon.edu . We are committed to principles of diversity, equity, and inclusion. Our racial justice statement and diversity action plan can be consulted at linguistics.uoregon.edu/diversity-and-inclusion .

Minimum Requirements

• Completed a Ph.D. in Linguistics or in a related field by the time of appointment. • Strong promise of excellence in teaching and research. • Commitment to academic excellence and to diversity, equity, and inclusion in teaching, research, and service. • An established program of research addressing cognitive questions about spoken language. • Potential to secure research grants and awards, whether as a principal investigator or in collaboration with other faculty.

Preferred Qualifications

• Open to diverse research interests in the cognitive science of spoken language but preferred in Prosody, First/second language acquisition, and Learning theory. • Proficiency in discussing how computational methods might benefit applied linguistics, such as the fields of second language learning and teaching or language documentation and revitalization (even without extensive applied research experience.) • Evidence of strong research merit and meaningful broader impacts.

About the University

The University of Oregon is dedicated to building a culturally diverse and pluralistic faculty committed to teaching and working in a multicultural environment, and strongly encourages applications from minorities, women, and people with disabilities. Information on the Division of Equity and Inclusion and its goals can be consulted at inclusion.uoregon.edu/office-vice-president-equity-and-inclusion-vpei . The University of Oregon is one of only two Pacific Northwest members of the Association of American Universities and holds the distinction of a “very high research activity” ranking in the Carnegie Classification of Institutions of Higher Education. The UO enrolls more than 20,000 undergraduate and 3,600 graduate students representing all 50 states and nearly 100 countries. In recent years, the university has increased the diversity of its student body, as well as campus-wide efforts to build a welcoming, inclusive community. The UO’s beautiful, 295-acre campus features state-of-the-art facilities in an arboretum-like setting. The UO is located in Eugene, a vibrant city of 175,000 with a wide range of cultural and culinary offerings, a mild and pleasant climate, and a community engaged in environmental and social concerns. The campus is within easy driving distance of the Pacific Coast, the Cascade Mountains, and Portland.

The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans and paid time off. For more information about benefits, visit http://hr.uoregon.edu/careers/about-benefits .

The University of Oregon is an equal opportunity, affirmative action institution committed to cultural diversity and compliance with the ADA. The University encourages all qualified individuals to apply and does not discriminate on the basis of any protected status, including veteran and disability status. The University is committed to providing reasonable accommodations to applicants and employees with disabilities. To request an accommodation in connection with the application process, please contact us at [email protected] or 541-346-5112.

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Advertised: September 8, 2023 Pacific Daylight Time Applications close:

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computational linguistics phd jobs

Open PhD and Postdocs positions in computational corpus linguistics at CCL

PhD and Postdocs positions in computational corpus linguistics at CCL

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany

The “Computational Corpus Linguistics” ( CCL ) at the Department of German Language and Literature at FAU led by Prof. Stephanie Evert , invites applications for several open PhD and postdoctoral positions. The positions are aimed at individuals with a strong background in Deep Learning and/or statistical modelling.

Statistical modelling, deep learning applications, data augmentation, corpus queries & LLM.

• Starting date: The contract will start ASAP (preferably by July 2024) and run for 3 years (65% positions) or until December 14, 2025 (100%, with extension depending on availability of funding). • Location: Erlangen, Bavaria, Germany. • Salary: Competitive international annual gross salary following the German TV-L (E 13) scale. • Application deadline: Sun. April 21, 2024 .

You will contribute to one or more research projects in the area of computational corpus linguistics.

Depending on qualifications and your preferred topic, different appointments are possible: • Statistical methods for the multivariate analysis of linguistic variation (65% for 3 years) • Text mining with corpus queries and LLM (65% for 3 years) • Development and applications of deep learning models in NLP and legal tech (100% until 12/2025, with possible extension depending on availability of funding) • Evaluation and analysis of generative LLM (100% until 12/2025, with possible extension depending on availability of funding)

Responsibilities

May include: • Developing and implementing (Bayesian) statistical models for linguistic data • Writing and refining sophisticated corpus queries for different phenomena • Developing novel approaches for integrating corpus queries with LLM classifiers • Carrying out corpus studies on relevant phenomena • Implementing, fine-tuning, and optimising deep learning models for a range of different tasks in NLP and legal tech • Exploring efficient use of training data via data augmentation, few-shot learning, etc. • Creating and annotating specialised corpora and gold standards • Supervising manual annotation of gold standards • Carrying out sound and thorough evaluation of algorithms and NLP applications • Implementing software tools, libraries/packages, demonstrators, and Web-based UI required for the research projects • Contributing to the implementation of software tools and packages developed by the CCL group • Producing research and software documentation • Testing new approaches and software tools in various applications and case studies • Analysing data, writing up results, and co-authoring publications • Presenting research findings at national and international conferences • Managing project tasks, supervising student assistants, and providing progress reports • Contributing to self-administration of CCL team, Web presence, etc.

Your Profile

Necessary qualifications • M.A./M.Sc. or Ph.D. in Computational Linguistics, Mathematics, Computer Science, Machine Learning, Data Science, Computational Humanities, or similar subject area (with very good grade) • Evidence of strong programming skills, ideally in Python and/or R • Experience with machine learning in NLP, deep learning, or statistical analysis • Near-native language skills in German or English • Very good communication skills in English, including the ability to write for publication and present research findings at meetings and conferences • Ability to work independently, manage own academic research and associated activities, and to supervise student assistants • Ability to work effectively in small and large teams

Desirable qualifications • Evidence of strong mathematical skills • Evidence of ability to analyse linguistic data • Experience with creation of corpora and gold standards • Native-like language skills in German and English • Experience with development of Web apps in Python/Flask and Web-based UIs

Institutional Values

FAU Erlangen-Nürnberg is committed to international standards, transparent performance agreements, equal opportunity, inclusivity, support for under-represented groups, an inclusive culture, and diversity. The university also prioritizes the needs of dual career couples and is recognized as a family-friendly employer.

Application procedure

Please submit your application by April 21, 2024 sending an email to stephanie.evert[at]fau.de and providing evidence for all relevant qualifications.

Interviews with promising candidates are to be held by teleconference within two weeks after the application deadline.

If you have any questions about the positions, the research projects, or the expected qualifications, please contact Prof. Stephanie Evert at: stephanie.evert[at]fau.de

This call at FAU Jobs: https://www.jobs.fau.de/jobs/phd-candidates-and-postdoctoral-researchers-in-computational-corpus-linguistics-65-or-100-e13-tv-l-starting-asap-91370455/

_ More about CCL (Lehrstuhl für Korpus- und Computerlinguistik) at FAU: https://www.linguistik.phil.fau.de/

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Friedrich-Alexander-Universität Erlangen-Nürnberg

FAU CCL, Computational Corpus Linguistics

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Open PhD and Postdocs positions in Mathematics at FAU DCN-AvH (2024) Expired!

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Johns Hopkins University Applied Physics Laboratory

2024 phd graduate – ontologist.

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Do you love to build ontologies?

Are you passionate about semantic information systems?

If so, we’re looking for someone like you to join our team at APL.

We are seeking an ontologist. As a member of our team, you’ll contribute to ontologies in a variety of domains. You will be joining a hardworking team of engineers and scientists who craft and implement novel methods for solving meaningful national security challenges. We are passionate about applying knowledge representation techniques to draw insights from and enable computational analysis of large sets of structured and unstructured data.

As an Ontologist

  • Your primary responsibility will be to build ontologies.
  • You will engage stakeholders to determine ontology requirements.
  • You will work with subject matter experts to craft ontology content.
  • You will contribute to quality assurance and validation practices.

You meet our minimum qualifications for the job if you…

  • Possess a PhD degree in a field related to Applied Ontology (e.g. Philosophy, Computer Science, Cognitive Science, Mathematics, Logic, or Linguistics)
  • Are proficient with Web Ontology Language (OWL2), Resource Description Framework Schema (RDFs), and Resource Description Framework (RDF)
  • Are proficient with SPARQL
  • Have a proven track record of conducting independent research within the field of ontology and knowledge representation
  • Have excellent written and oral communication skills, and the ability to work with a wide range of collaborators
  • Have experience building domain ontologies
  • Are proficient with ontology editors (e.g., TopBraid Composer, Protégé)
  • Have experience with formal representations of logical reasoning and inference
  • Have experience eliciting, defining, and communicating modeling requirements for domain before crafting ontologies that meet those requirements
  • Have experience with multi- or intra-disciplinary collaboration.
  • Are able to obtain a Secret security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You’ll exceed our minimum requirements if you have…

  • A Doctorate degree in a field related to Applied Ontology (e.g. Philosophy, Computer Science, Cognitive Science, Mathematics, Logic, or Linguistics)
  • Experience working with a software engineering team to deliver ontology-driven software features
  • Experience building domain ontologies based on a top-level ontology
  • Comfort with weighing tradeoffs between semantic expressivity and project-specific implementation strategies
  • Experience with any of the following: Basic Formal Ontology (BFO); The Common Core Ontologies (CCO); W3C standards such as SOSA/SSN and the Time Ontology; ontologies in the Open Biological and Biomedical (OBO) Foundry; as well as other semantic web standards, such as Dublin Core, SKOS, QUDT, and GeoSPARQL
  • Experience with triple stores or graph databases (e.g., GraphDB, Stardog, Jena Fuseki)
  • Experience with semantic software packages and frameworks (e.g., Jena, Sesame, RDF4J, RDFLib)
  • Experience with semantic validation languages (e.g. SHACL, SPIN)
  • Experience with software version management using GIT
  • Experience with Python
  • Experience applying ontologies in natural language processing, image processing, or in the normalization/integration of heterogeneous data sources.
  • Coursework in data structures, databases, metaphysics, knowledge representation, algorithms, mathematical logic, mereotopology, or software programming

Why work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.

APL is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.

APL is committed to promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact [email protected]. Only by ensuring that everyone’s voice is heard are we empowered to be bold, do great things, and make the world a better place.

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Marie Bissell has accepted a tenure-track Assistant Professor position in Linguistics at UT Arlington, starting in August!

Marie Bissell

Congratulations, Marie!

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    PhD Researcher on social media narratives. 1 - Working at the VUBFor more than 50 years, the Vrije Universiteit Brussel has stood for freedom, equality and solidarity, and this is very much alive on our campuses among students and staff alike. At the VUB, you will find a diverse collectio...

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    Search Linguistic phd jobs. Get the right Linguistic phd job with company ratings & salaries. 194 open jobs for Linguistic phd.

  10. Careers: Computational linguistics

    Careers in Computational Linguistics. Computational linguists develop computer systems that deal with human language. They need a good understanding of both programming and linguistics. This is a challenging and technical field, but skilled computational linguists are in demand and highly paid. Computational linguists build systems that can ...

  11. 10 PhD jobs in Linguistics

    PhD position in Japan Studies. Vacancy number 14540Job type PhD positionsHours (in fte) 1,0External/ internal ExternalLocation LeidenPlaced on 13 February 2024Closing date 15 April 2024 62 more days to applyFaculty of Humanities, Leiden Institute for Area Studies is looking for... Published 1 month ago. Closing in: 4 days.

  12. Computational Linguistics

    Research. We take a very broad view of computational linguistics, from theoretical investigations to practical natural language processing applications, ranging across linguistic areas like computational semantics and pragmatics, discourse and dialogue, sociolinguistics, historical linguistics, syntax and morphology, phonology ...

  13. What Is Computational Linguistics? Insights and Career Guide

    Computational linguistics vs. national language processing. Computational linguistics focuses on the system or concept that machines can be computed to understand, learn, or output languages, while natural language processing is the application of processing language that enables a computer program to understand human language as it is written or spoken.

  14. PhD Computational Approaches to Narrative in Argumentation (1.0 FTE

    Applications are invited for a fully-funded 4-year PhD position in the field of Computational Linguistics, focusing on the relationship between narratives and argumentation. This research project will focus on developing computational approaches to understand how narratives influence argumentation. For example, by establishing connections ...

  15. Computational Linguistics Degree jobs

    Remote in Arlington, VA 22209. Rosslyn. $95,776 - $162,819 a year. Full-time. Bachelor's or Master's degree with 3+ years of experience in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial…. Posted.

  16. 6,000+ Computational Linguist jobs in United States (1,466 new)

    Today's top 6,000+ Computational Linguist jobs in United States. Leverage your professional network, and get hired. ... (PhD) Research Scientist, Machine Learning (PhD) Meta Sunnyvale, CA ...

  17. 20 Best computational linguistics jobs (Hiring Now!)

    33. computational linguistics jobs. Sr. Manager - Data Science & AI Solution Developer. Bristol-Myers Squibb —Township of Lawrence, NJ4.1. Bachelor's or master's degree in computer science, Engineering, Applied Math, Bio Informatics, Operations Research or equivalent working experience in a highly…. Estimated: $150K - $190K a year.

  18. Current Opportunities

    The department has strong undergraduate and graduate programs, including a BA/BS in linguistics, an MA in language teaching, and PhD in linguistics. We are committed to growing our undergraduate minors in interdisciplinary cognitive sciences and increasing course offerings for data science majors, where linguistics is a core domain of application.

  19. Open PhD and Postdocs positions in computational corpus linguistics at

    The "Computational Corpus Linguistics" ( CCL) at the Department of German Language and Literature at FAU led by Prof. Stephanie Evert, invites applications for several open PhD and postdoctoral positions. The positions are aimed at individuals with a strong background in Deep Learning and/or statistical modelling.

  20. 2024 PhD Graduate

    You meet our minimum qualifications for the job if you… Possess a PhD degree in a field related to Applied Ontology (e.g. Philosophy, Computer Science, Cognitive Science, Mathematics, Logic, or Linguistics) Are proficient with Web Ontology Language (OWL2), Resource Description Framework Schema (RDFs), and Resource Description Framework (RDF)

  21. Anna Palatkina

    Bachelor's degree Computational Linguistics. 2017 - 2021. Acquired a deep understanding of linguistic principles, including linguistic typology, syntax, phonology, and semantics. Additionally, cultivated a foundation in mathematics and program- ming. Bachelor's thesis: "Automatic Extraction of Embedded Clauses Used as Unembedded in French".

  22. Antonina Sinelnik

    Marketing Manager with 3+ years of agency and in-house experience, covering Tech, Automotive, Beauty&Lifestyle, and FMCG sectors. Most skilled in B2C and B2B strategic communications and campaign planning, I am well-versed in a variety of functions including marketing data analytics, consulting, and project/program management.<br><br>Coming from a mixed academic background, equally focused on ...

  23. Aleksandr Zhuravlev

    I defended my PhD thesis in computational linguistics today. Topic: Translationese indicators for human translation quality estimation. Liked by Aleksandr Zhuravlev

  24. Marie Bissell has accepted a tenure-track Assistant Professor position

    Marie Bissell has accepted a tenure-track Assistant Professor position in Linguistics at UT Arlington, starting in August!Congratulations, Marie!

  25. 139 Engineering jobs in Moscow, Moscow City, Russia (3 new)

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