Okay, I've searched for PhD positions in Explainable AI and Natural Language Processing in Vienna that fall under Computer Science or Computational Linguistics, for full-time roles available until June 2025. I found 47 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

The PhD Position in Explainable Natural Language Processing at the University of Vienna fundamentally aims to advance the field of explainable AI, particularly focusing on natural language processing. This role will delve into significant research themes such as personalized explanations for large language models and evaluating the usability of explainable AI. Candidates will be expected to demonstrate a deep understanding of computer science and computational linguistics while also possessing strong analytical and critical thinking skills to navigate complex data and theoretical frameworks. This position requires collaboration and possible cross-functional work with fellow researchers, thus necessitating soft skills like effective communication and teamwork. Success in this role will be defined by the candidate's ability to propose innovative research topics, generate valuable insights, and contribute to the academic community, likely gauged through publications and research collaboration within the three-year funding period.

Company Analysis:

The University of Vienna holds a prestigious position within the academic landscape as a leading institution for research and education, particularly in fields encompassing computer science, statistics, and artificial intelligence. As a well-established entity, it emphasizes research excellence and innovation, which suggests a culture that values scholarly inquiry and interdisciplinary collaboration. Given the competitive nature of academic research, candidates can anticipate a stimulating environment focused on problem-solving and academic achievement. The PhD position is integrated into the Data Mining and Machine Learning research group, indicating that the successful candidate will have substantial access to mentorship from established professionals, including Prof. Benjamin Roth. This role aligns strategically with the university’s goal of producing cutting-edge research that contributes to the broader landscape of AI, signaling that this PhD position is likely crafted to not only advance individual expertise but also to elevate the university's research agenda in explainable AI.

Absolutely. Here are some mock interview questions that could come up:

• Describe a challenging research project you worked on during your Master's program. What were the challenges, and how did you address them?
• Can you provide an example of how you have utilized statistical methods in a previous project?
• Discuss a time when you had to collaborate with colleagues from different backgrounds. What did you learn from that experience?
• What specific tools or methodologies do you prefer for analyzing linguistic data, and why?
• How would you approach the task of creating personalized explanations for large language models? What factors would you consider?
• Describe your experience with programming languages relevant to machine learning and natural language processing.
• Imagine you are tasked with evaluating an existing explainable AI solution. What criteria would you use to assess its effectiveness?
• How do you foresee the implications of your research in explainable AI evolving over the next few years?
• Why are you interested in pursuing your PhD at the University of Vienna specifically?
• What aspects of the university's research culture stand out to you, and how do they align with your academic goals?
• What motivated you to pursue a career in computational linguistics and AI research?
• Are there any specific research themes or problems in explainable AI that you are particularly passionate about exploring further?
• What questions do you have about working with Prof. Benjamin Roth or the research group?
• How do you envision contributing to the ongoing research projects within the Data Mining and Machine Learning group?