Post Doctoral Associate

University of Maryland, United States

Updated: 3 months ago
Location: College Park, MARYLAND
Deadline: ;

Posting Details
Posting Details


Position Number: 929332
Title: Post Doctoral Associate
Functional Title: Post Doctoral Associate
Category Status: 15-Fac.Non-Tenured,Continuing Con
Applicant Search Category: Faculty
University Authorized FTE: 100
Unit: BSOS-Hearing & Speech Sciences
Hiring Range Minimum:
Hiring Range Maximum:
Campus/College Information:
Founded in 1856, University of Maryland, College Park is the state’s flagship institution. Our 1,250-acre College Park campus is just minutes away from Washington, D.C., and the nexus of the nation’s legislative, executive, and judicial centers of power. This unique proximity to business and technology leaders, federal departments and agencies, and a myriad of research entities, embassies, think tanks, cultural centers, and non-profit organizations is simply unparalleled. Synergistic opportunities for our faculty and students abound and are virtually limitless in the nation’s capital and surrounding areas. The University is committed to attracting and retaining outstanding and diverse faculty and staff that will enhance our stature of preeminence in our three missions of teaching, scholarship, and full engagement in our community, the state of Maryland, and in the world.
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Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify you from employment.
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Position Summary/Purpose of Position:
Dr. Yi Ting Huang of the University of Maryland (UMD) and Dr. Roger Levy of the Massachusetts Institute of Technology (MIT) are seeking to hire a post-doctoral researcher to work on a collaborative initiative funded by the National Science Foundation entitled, Syntactic processing across socioeconomic status: Linking input to comprehension. This project examines how variation in learning environments impacts how children learn and use language.
The project incorporates a wide variety of concepts and methods from multiple fields, including automated speech recognition (for transcribing LENA recordings), Large language models (for measuring context effects on language use), Bayesian models and inference (for implementing the linking hypotheses), methods for working with large corpora (including text normalization, NLP toolkit), and knowledge of cognitive hypotheses about language learning, and broader impacts of language variation across society. The post-doctoral researcher will develop and test computational methods for analyzing caregivers and children communication and relations between learning and processing. The position will be based in Maryland, but theoretical and methodological training will be provided by both PIs through joint discussions and lab meetings and travel to MIT. The post-doc will be part of a rich interdisciplinary community of language scientists (https://languagescience.umd.edu/) and Institute for Advanced Computer Studies (https://www.umiacs.umd.edu/) at Maryland and MIT’s connections to Quest for Intelligence (https://quest.mit.edu/). They will be expected to develop and maintain an independent research program in synergy with project goals.
Minimum Qualifications:
Education:
A Ph.D. in computer science, linguistics, cognitive science, or related field by the start date is required.
Preferences:
  • Desired expertise includes natural language processing, deep learning, linguistic theory, and Bayesian statistics.
  • Background and/or interest in socioeconomic variation, language development, and communication is particularly relevant.
Additional Certifications:
Additional Information:
Posting Date: 10/02/2023
Closing Date:
Open Until Filled Yes
Best Consideration Date 11/15/2023
Physical Demands
Diversity Statement:
The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.
Women, minorities, LGBTQ+, veterans, and people with disabilities are encouraged to apply.
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