PhD Candidate in Explainable NLP: Leiden University is offering a PhD candidate position in Explainable Natural Language Processing (NLP) focusing on regulatory compliance detection within Dutch regulatory contexts. This position is ideal for individuals passionate about advancing Explainable AI (XAI) and NLP, providing a collaborative and interdisciplinary research environment.
PhD Candidate in Explainable NLP for Regulatory Compliance Detection
Designation
PhD Candidate in Explainable NLP for Regulatory Compliance Detection
Table
| Attribute | Details |
|---|---|
| Vacancy Number | 15512 |
| Job Type | PhD Position |
| Working Hours | 1.0 FTE |
| Location | Leiden, Netherlands |
| Closing Date | 31 March 2025 |
Research Area
- Explainable AI (XAI)
- Natural Language Processing (NLP)
- Regulatory Compliance Detection
Location
Leiden, Netherlands
Eligibility/Qualification
- Master’s degree in Artificial Intelligence, Computer Science, Data Science, or a related field.
- Strong background in NLP, Machine Learning, or Explainable AI (XAI).
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and NLP libraries (e.g., Hugging Face, spaCy).
- Interest in legal AI, regulatory compliance, and explainability.
- Programming skills (Python preferred) and experience with large-scale text processing.
- Excellent written and spoken English; knowledge of Dutch is a plus but not required.
Description
The selected candidate will engage in research aimed at developing AI-driven methods for identifying and explaining regulatory “grey areas” in Dutch regulatory texts. Responsibilities include:
- Developing and fine-tuning Natural Language Inference (NLI) models.
- Designing and implementing Explainable AI techniques for compliance decision-making.
- Collecting and analyzing data from regulatory bodies.
- Conducting experiments to validate AI models on real-world cases in various sectors.
- Collaborating with domain experts to ensure practical relevance.
- Publishing research findings in esteemed AI and NLP conferences and journals.
- Contributing to project meetings and to open-source tools and datasets for compliance checking.
How to Apply
Interested candidates should submit their application online by uploading the following documents:
- Letter of motivation
- Curriculum vitae (with a list of publications)
- Research Interests Statement (maximum 1 A4 page)
- Two reference letters (including names, affiliation, telephone numbers, and email addresses)
Applications must be submitted via the university’s application portal.
Last Date to Apply
31 March 2025
For further inquiries, contact Prof. Suzan Verberne at s.verberne@liacs.leidenuniv.nl or send an email to jobs@liacs.leidenuniv.nl regarding procedure questions.
