Overview
TU Wien in Vienna, Austria, is offering two exciting PhD positions in its Machine Learning research unit. Known for its high quality of life, Vienna is also home to a top-ranking computer science faculty. These positions are part of distinct doctoral colleges, each addressing critical areas in machine learning.
Background & Relevance
Machine learning is a rapidly evolving field that plays a crucial role in various applications, from artificial intelligence to data analysis. The significance of sustainability in technology is increasingly recognized, especially as energy consumption from data centers rises. Additionally, automated reasoning is essential for developing robust AI systems that can operate effectively in real-world scenarios. These PhD opportunities aim to contribute to these vital areas, making them relevant for both academic research and practical applications.
Key Details
- Positions: 2 PhD opportunities
- Location: TU Wien, Vienna, Austria
- Doctoral Colleges:
- Computational Sustainability
- Apply here
- Deadline: December 4, 2025
- Automated Reasoning
- Apply here
- Deadline: November 27, 2025
Eligibility & Participation
These PhD positions are open to candidates with a strong background in machine learning, computer science, or related fields. Ideal applicants should demonstrate a keen interest in the topics of sustainability and automated reasoning, as well as a commitment to advancing research in these areas.
Submission or Application Guidelines
Candidates interested in applying should include all required materials as specified on the job portals linked above. It is important to clearly indicate the specific topic or supervisor of interest in the application. For any inquiries, potential applicants are encouraged to reach out via email.
Additional Context / Real-World Relevance
The focus on reducing energy consumption in machine learning aligns with global efforts to address climate change and promote sustainable practices in technology. By exploring innovative approaches to deep neural networks, researchers can contribute to more environmentally friendly AI solutions. Similarly, advancements in automated reasoning can enhance the reliability and effectiveness of AI systems across various sectors.
Conclusion
These PhD opportunities at TU Wien represent a significant step for aspiring researchers in the fields of machine learning and AI. Interested candidates are encouraged to explore these positions, apply, and contribute to impactful research that addresses pressing global challenges.
Category: PhD & Postdoc Positions
Tags: machine learning, tu wien, phd, automated reasoning, computational sustainability, deep learning, probabilistic testing, verification, energy efficiency
