Overview
The School of Physical and Mathematical Sciences at NTU Singapore is offering exciting PhD and Postdoc positions in the field of theoretical machine learning. These roles focus on the critical area of learning high-dimensional networked dynamical systems from data, which is increasingly relevant in various applications across AI and machine learning.
Background & Relevance
Theoretical machine learning is a vital area of research that seeks to understand the principles underlying learning algorithms. By focusing on high-dimensional dynamical systems, researchers can develop algorithms that not only perform well in practice but also come with provable statistical guarantees. This research is essential for advancing the reliability and effectiveness of machine learning applications in real-world scenarios, making it a significant contribution to the AI/ML community.
Key Details
- Position Types: PhD and Postdoc
- Research Focus: Learning high-dimensional (networked) dynamical systems from data
- Location: NTU Singapore, School of Physical and Mathematical Sciences
- PhD Application Deadline: 31st August 2025 (flexibility allowed)
- Postdoc Application Deadline: Open until filled
- Starting Date for PhD: January 2026
- GRE Requirement: Not necessary for PhD applications
- More Information: Job Openings
Eligibility & Participation
These positions are targeted at individuals with a strong background in probability and statistics, particularly those interested in statistical learning problems from a theoretical perspective. Candidates should possess the necessary qualifications and a keen interest in advancing their research in this domain.
Submission or Application Guidelines
Interested candidates should prepare their CV and reach out via email to express their interest in the positions. It is advisable to do this promptly to ensure consideration, especially for the Postdoc role, which remains open until filled.
More Information
The research on high-dimensional dynamical systems is crucial for understanding complex systems and improving machine learning algorithms. This work has implications across various fields, including robotics, data science, and artificial intelligence, making it a pivotal area of study in the current landscape of AI research.
Conclusion
These PhD and Postdoc positions at NTU Singapore offer a unique opportunity for researchers to contribute to the field of theoretical machine learning. Interested individuals are encouraged to apply and explore this chance to advance their academic careers in a vibrant research environment.
Category: PhD & Postdoc Positions
Tags: machine learning, theoretical machine learning, statistical learning, dynamical systems, NTU Singapore, PhD positions, postdoc positions, probability, statistics, data analysis
