Postdoctoral-Data-Driven Organizational Skill Networks

Job Description

The proposed PosDoc position will support the project Data-Driven Organizational Skill Networks: Developing a Master Skill Map for Workforce Capability and Gap Analysis. The individual will conduct research involving natural language processing (NLP), artificial intelligence (AI), machine learning, and network analytics to identify, extract, normalize, and analyze workforce skills from heterogeneous organizational datasets. Responsibilities will include developing computational methods for constructing organizational skill networks, integrating these networks into a Master Skill Map, and designing quantitative metrics to assess skill coverage, organizational strengths, emerging capabilities, and workforce skill gaps. The researcher will also contribute to data collection and validation, comparative organizational analyses, interactive visualizations, technical documentation, research reports, and scholarly publications. The position requires strong analytical and programming skills, particularly in Python, along with familiarity with data science, network analysis, and computational research methodologies.

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Stevens is building a diverse faculty, staff, and student body and strongly encourages applications from people of all backgrounds. Stevens is a federal contractor under the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and the Rehabilitation Act of 1973, as well as other federal statutes. Stevens seeks candidates who will contribute to a welcoming and inclusive environment for all students, faculty and staff.

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