New York University

Description

The Communication, Memory, and Mind Lab (PI: Yoon) is seeking a highly motivated individual for a part-time, hourly research position to analyze an existing dataset on social communication. The role involves applying Natural Language Processing (NLP) techniques (with a particular focus on semantic parsing and s-BERT), to examine language patterns and meaning representations in conversational data. The position does not involve any supervisory responsibilities. This is a three-month appointment that requires 5 hours of work per week.

Key Responsibilities:

• Analyze and process linguistic data using NLP methods
• Collaborate with the research team to interpret findings and refine analysis
• Document methods and results for potential research dissemination

The job duties for this position require minimal in-person interaction and can be performed remotely >60% of the time (i.e., more than 3 days per week).

In compliance with NYC’s Pay Transparency Act, the salary for this position is $29/hour. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.

Qualifications

MINIMUM QUALIFICATIONS

• Master’s degree in Data Science or equivalent experience

PREFERRED QUALIFICATIONS

• Strong background in Natural Language Processing (NLP)
• Hands-on experience with semantic parsing techniques and tools
• Proficiency in programming languages commonly used in NLP, such as Python (with libraries like spaCy, NLTK, or transformers)
• Experience with linguistic data analysis and social communication research is a plus
• Strong analytical and problem-solving skills