**Job Description**
This project seeks two Ph.D. candidates to investigate language-related degree-awarding gaps in Dutch higher education. The research focuses on how Dutch and English academic literacy develops within various academic tracks and how curriculum characteristics may be conducive to this development. It involves the analysis of large samples of graded, student-written texts from UvA databases, including the development and validation of automated, potentially LLM-based, scoring metrics. These metrics will inform longitudinal and cross-sectional studies revealing the extent of students’ academic language ability development and the support provided by specific bachelor curricula. This NRO-funded project also includes dedicated time for teaching activities.
**Skills & Abilities**
• Skills and knowledge for in-depth automated text analysis and the development and use of text quality metrics
• Skills and knowledge for carrying out in-depth empirical studies
• Excellent research skills demonstrated by a Master thesis
• Enthusiasm for teaching
• Strong communicative and organizational skills
• Cooperative attitude and strong commitment to team science
• Enthusiasm for communicating academic research to non-academic audiences
• Excellent command of English
• Fair knowledge of Dutch (B1-level or higher)
**Qualifications**
Required Degree(s) in:
• (Computational) Linguistics
• Education
• Artificial Intelligence
• Related field
**Experience**
Other:
• Cannot already hold a doctorate/PhD or be working towards obtaining a similar degree elsewhere.
Note: We’ve analyzed the actual job post using AI, for more details visit the original job post by clicking on “Apply Now”!
Other similar jobs that might interest you