Research - Laboratory/Non-Laboratory, Staff/Administrative
Location: Hyde Park Campus
The Research Computing Center (RCC) is partnering with the Harris School of Public Policy to hire a highly motivated Computational Scientist, Natural Language Processing to work closely with faculty and researchers at The University of Chicago.
Serves as a technical domain expert supporting and advising faculty on text analysis, including natural language processing.
May also hold a concurrent lecturer appointment in an academic department and teach up to two academic courses per year.
Develops, maintains and supports text analysis pipelines that include data collection, data management, data digitization, data analysis and documentation.
Implements NLP algorithms, summarize findings and generate study results and plots for research projects.
Independently proposes and executes practical solutions to research challenges. Develops, installs and tests scientific software in support of research goals.
Prepares and contributes content to manuscripts and presentations. Creates and presents tutorials, hands-on workshops and documentation.
Communicates with various agencies and partners to apply for and manage data access. Manages data collection and storage.
Works closely with faculty to identify, develop, and implement useful computational methods and resources that support or advance their research.
Keeps abreast of new developments in High Performance Computing, data science, Machine Learning and deep learning; and proactive in introducing them to the faculty.
Assists researchers with grant proposals with strong HPC or AI component to describe the interplay between their research and computation and data science.
Works with faculty and their research groups to enable them to fully utilize the University and national computational resources for their research.
Develops and presents technical training materials and web-based documentation. Ensures timely systems support and updates. Assists in conducting information security assessments and risk analysis of computing environment.
Evaluates past and present technologies to help develop new tools. Ensures all the new tools have been through quality control reviews.
Performs other related work as needed.
Ph.D. in Computer Science, Social Sciences, or related fields.
Technical Skills or Knowledge:
Understanding of key natural language processing, data mining, machine learning and statistical methods.
Proficiency in one or more programming languages (such as C++, C, etc.).
Proficiency in a scripting language such as Python.
Skillful in text analysis, including natural language processing.
Background with Linux/Unix.
Expertise in SQL.
Research experience in Natural Language processing, Machine Learning and Deep Learning frameworks.
Working knowledge with running computational jobs on high-end computing systems.
Excellent interpersonal and communication (verbal and written) skills.
Understand and translate researchers' scientific goals into computational requirements.
Mentor and technical lead of a small team of students and/or Research Assistants.
Work well with faculty and researchers.
Identify and gain expertise in appropriate new technologies and/or software tools.
Function as part of an interactive team while demonstrating self-initiative to achieve project's goals and Research Computing Center's mission.
Strong analytical skills and problem-solving ability.
Work collaboratively with a diverse group of research scientists with different skills and expertise.
Cover Letter (preferred)
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Internal Number: JR10280
About University of Chicago (UC)
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