The report examines a novel methodology that integrates automated tools and artificial intelligence to establish a framework for identifying demand trends in AI R&D positions, thereby enabling systematic monitoring of changes over time.
Research Contribution:
- The study introduces a new methodology for continuous, long-term data collection and analysis using automated and AI-based tools.
- It enhances the understanding of demand for employees in R&D positions within technology companies and provides a detailed description of the required worker profiles, including years of experience, academic qualifications, areas of responsibility, skills, and more.
- The research holds potential to inform both the higher education system and policymakers regarding the adjustments needed to meet labor market demand and to strengthen Israel’s high-tech industry.
Research Objectives:
- To examine a new methodology for data collection and analysis using automated and AI-based tools.
- To assess the extent of demand for R&D positions in technology companies and other enterprises.
- To characterize the demand for technological R&D positions in AI by analyzing the attributes of recruiting companies (type of company and sector of activity) and the job requirements (experience, education, areas of responsibility, and skills).
- To build a framework that supports the identification of demand trends for AI R&D positions and allows systematic monitoring of changes over time. It should be noted that the data collected in this study are
