Overview
The Institute of Information Systems Engineering at TU Wien is offering a PhD position aimed at candidates with a background in Computer Science, particularly those interested in Natural Language Processing (NLP). The research will delve into semi-automatic labeling of argumentative zones in scientific articles, utilizing reinforcement learning techniques. This opportunity is significant for those looking to contribute to advancements in scientific publication mining and NLP applications.
Background & Relevance
Natural Language Processing is a crucial area within artificial intelligence that focuses on the interaction between computers and human language. The ability to analyze and summarize scientific literature effectively is increasingly important in academia and industry. By employing reinforcement learning to enhance the labeling of argumentative zones, this research aims to improve how scientific information is processed and understood, thereby facilitating better literature reviews and research outcomes.
Key Details
- University: TU Wien (Technische Universität Wien, Austria)
- Location: Vienna, Austria
- Position: PhD student
- Research Focus: Semi-automatic labeling of argumentative zones in scientific articles using reinforcement learning
- Funding: Secured through the AR-Science project
- Application Deadline: September 20, 2019
- Contact Email: florina.piroi@tuwien.ac.at
Eligibility & Participation
This PhD position is targeted at candidates who have completed a Master’s degree in Computer Science. Candidates with a Master of Arts may also apply if their primary field of study is Language Technology or Computational Linguistics. A foundational knowledge of NLP, experience in annotation or corpus design, and good communication skills in English are essential for applicants.
Submission or Application Guidelines
Interested candidates should prepare their application, which must include a CV and a brief cover letter. Applications should be submitted via email to the provided contact address by the specified deadline.
Additional Context / Real-World Relevance
The AR-Science project aims to create an innovative platform that streamlines the process of scientific publication mining. By automating the handling of scientific information, the project seeks to alleviate the time and effort researchers spend on literature searches and reviews. This PhD position is integral to developing tools that enhance the efficiency of academic research, making it a valuable opportunity for aspiring researchers in the field.
Conclusion
This PhD opportunity at TU Wien represents a chance to engage in impactful research at the intersection of NLP and reinforcement learning. Interested individuals are encouraged to apply and contribute to the evolving landscape of scientific publication analysis.
Category: PhD & Postdoc Positions
Tags: nlp, reinforcement learning, tu wien, argumentative zoning, deep learning, corpus design, language technology, computational linguistics
