Overview
The Epistemic Intelligence & Computation (EPIC) Lab at Nanyang Technological University (NTU) in Singapore is inviting applications for fully funded PhD positions. These positions are set to commence in August 2026, focusing on the innovative field of epistemic uncertainty in machine learning. This opportunity is significant for those interested in advancing the understanding of how intelligent systems can operate under conditions of limited knowledge.
Background & Relevance
Epistemic uncertainty refers to the uncertainty that arises from a lack of knowledge, as opposed to statistical randomness. This area of research is crucial as it addresses how intelligent systems can reason, explain, and make decisions when faced with incomplete information. The EPIC Lab aims to leverage imprecise probability theory to develop models that accurately reflect their uncertainties, which is increasingly important in various applications of AI and machine learning.
Key Details
- Position: 4-year Fully Funded PhD Scholarship
- Start Date: August 2026
- Location: Singapore
- Application Information: Visit EPIC Lab Website for details on research themes and application procedures.
Eligibility & Participation
This opportunity is targeted at highly motivated individuals with strong backgrounds in statistics, mathematics, computer science, or machine learning. Candidates should possess a keen interest in developing uncertainty-aware learning systems and contributing to the field of epistemic machine learning.
Submission or Application Guidelines
Interested applicants should follow these steps to apply:
1. Visit the EPIC Lab website for detailed information on research themes.
2. Review the application guidelines provided on the site.
3. Prepare your application materials as specified.
4. Submit your application through the provided channels on the website.
Additional Context / Real-World Relevance
The study of epistemic uncertainty is becoming increasingly relevant in AI, particularly in areas where decision-making is critical and knowledge is incomplete. This research can lead to advancements in various fields, including robotics, healthcare, and autonomous systems, where understanding and managing uncertainty is essential for effective functioning.
Conclusion
This is a remarkable opportunity for aspiring researchers to join a cutting-edge lab at NTU Singapore. Interested candidates are encouraged to explore this chance to contribute to the evolving landscape of machine learning focused on epistemic uncertainty. Sharing this information with potential applicants can help foster new advancements in the field.
Category: PhD & Postdoc Positions
Tags: machine learning, epistemic uncertainty, phd, ntu, data science, uncertainty-aware systems, statistics, mathematics, computer science
