Overview
Saarland University is offering a PhD position within the Collaborative Research Center “Information Density and Linguistic Encoding” (SFB 1102). This role focuses on learning script knowledge from texts, which is crucial for advancing natural language processing (NLP) algorithms and understanding linguistic encoding in communication.
Background & Relevance
The field of computational linguistics combines insights from linguistics and computer science to enhance our understanding of language processing. The study of script knowledge—commonsense knowledge regarding sequences of events—plays a vital role in improving NLP systems. This research is significant as it aims to refine how machines interpret and generate human language, thereby enhancing human-computer interaction.
Key Details
- Position: PhD Student (E13 75%)
- Project: Learning script knowledge from texts
- Start Date: September 2019 (or later)
- Duration: Three years, with possible extension
- Application Deadline: August 20, 2019, or until filled
- Location: Saarland University, Saarbrücken, Germany
- Project Leads: Stefan Thater, Alexander Koller, Vera Demberg
- Links: SFB 1102, Project A3
Eligibility & Participation
This position is targeted at candidates who have completed or are near completion of an MSc degree in computational linguistics, computer science, or a related field. Applicants should possess a robust background in machine learning, particularly with neural networks, along with strong programming skills and proficiency in English.
Submission or Application Guidelines
Interested candidates should apply through the online application form at this link. The application must include:
1. A statement of research interests detailing motivation and research plans.
2. A comprehensive CV, including a list of publications.
3. Scans of transcripts and academic degree certificates.
4. Contact information for two referees who can provide letters of recommendation.
Priority will be given to applications submitted by the deadline. Saarland University promotes equal opportunity and encourages applications from women and individuals with disabilities.
Additional Context / Real-World Relevance
The research conducted at Saarland University is at the forefront of computational linguistics in Europe. The collaboration with renowned institutions such as the Max Planck Institute and the German Research Center for Artificial Intelligence enhances the research environment, fostering innovation in language technology. Understanding script knowledge is essential for developing systems that can effectively process and generate human-like narratives, which has applications in various domains including education, entertainment, and automated content generation.
Conclusion
This PhD opportunity at Saarland University represents a significant step for those interested in advancing their careers in computational linguistics and NLP. Interested individuals are encouraged to apply and contribute to this exciting field of research.
Category: PhD & Postdoc Positions
Tags: computational linguistics, natural language processing, machine learning, Saarland University, psycholinguistics, story generation, information density, linguistic encoding
