Overview
This postdoctoral position at Trinity College Dublin (TCD) presents a unique opportunity for researchers interested in the intersection of machine learning, security, and privacy. The role emphasizes the exploration of unused parameters in machine learning models, particularly in the context of deep learning, and their implications for security vulnerabilities.
Background & Relevance
Machine learning, particularly through the use of Deep Neural Networks (DeepNNs), has revolutionized numerous applications, including natural language processing and computer vision. However, the inherent over-parameterization of these models can lead to unused parameters that may pose security risks. Understanding these vulnerabilities is crucial, as they can be exploited by malicious actors. This research area is increasingly relevant as AI systems become more integrated into critical applications, necessitating robust security measures.
Key Details
- Position: Postdoctoral Researcher
- Location: Trinity College Dublin
- Collaborating Institutions: Queen’s University Belfast, University of California Riverside
- Salary: Up to ~€71,000 per annum
- Duration: 3 years
- Start Date: January 2026
- Contact for Inquiries: alessio.benavoli@tcd.ie
Eligibility & Participation
This position is aimed at candidates with a strong background in game-theoretic modeling, learning theory, and deep learning. Applicants with expertise in imprecise statistics or imprecise machine learning are particularly encouraged to apply, making this an excellent opportunity for researchers with diverse skill sets.
Submission or Application Guidelines
Interested candidates should refer to the attached document for detailed application instructions, including qualifications and experience required. For informal inquiries, potential applicants can reach out via the provided email address.
Additional Context / Real-World Relevance
The research conducted in this position will contribute to a deeper understanding of the security and privacy challenges posed by machine learning models. By investigating the strategies that could be employed by malicious entities to exploit unused parameters, this work will help in developing more secure AI systems. This is particularly important in an era where AI applications are becoming ubiquitous, and ensuring their integrity is paramount.
Conclusion
This postdoctoral opportunity at Trinity College Dublin offers a chance to engage in impactful research at the forefront of machine learning security. Interested individuals are encouraged to explore this position and apply, contributing to the vital work of safeguarding AI technologies.
Category: PhD & Postdoc Positions
Tags: machine learning, deep learning, security, privacy, game theory, imprecise statistics, trinity college dublin, queen’s university belfast, university of california riverside
