Overview
Singapore Management University is inviting applications for PhD studentships under the guidance of Assistant Professor Antoine Ledent. This opportunity is particularly significant for those interested in advancing research in Learning Theory, a vital area within machine learning that explores the theoretical foundations of learning algorithms.
Background & Relevance
Learning Theory is a critical field in artificial intelligence and machine learning, focusing on understanding how algorithms can learn from data. It plays a fundamental role in developing robust AI systems and contributes to advancements in various applications, including recommender systems. Given the increasing reliance on data-driven decision-making, expertise in this area is increasingly valuable.
Key Details
- Application Deadline: January 30, 2026
- Intake: August 2026
- Location: Singapore Management University
- Supervision: Assistant Professor Antoine Ledent
- Topics: Preference for Learning Theory, also considering Recommender Systems
- Contact Email: aledent@smu.edu.sg
- Website: Antoine Ledent’s Homepage
Eligibility & Participation
Candidates should possess a Bachelor’s degree in Mathematics, Computer Science, or a related field from a recognized institution. This opportunity is tailored for prospective PhD students eager to delve into advanced research topics in Learning Theory.
Submission or Application Guidelines
- Interested candidates should first reach out to Assistant Professor Antoine Ledent via email to arrange an informal interview.
- Following the interview, applicants should prepare their formal application to the school by the specified deadline.
Additional Context / Real-World Relevance
The research conducted in Learning Theory has far-reaching implications in various domains, including AI ethics, algorithmic fairness, and the development of intelligent systems that can adapt and improve over time. As the field of AI continues to evolve, the insights gained from this research will be crucial in shaping future technologies.
Conclusion
This is a compelling opportunity for those passionate about machine learning and theoretical research. Interested individuals are encouraged to apply and explore the potential of contributing to significant advancements in the field. For more information, please refer to the provided links and contact details.
Category: PhD & Postdoc Positions
Tags: phd, machine-learning, learning-theory, recommender-systems, singapore-management-university, computer-science, mathematics, academic-opportunity
