To support advancements in artificial intelligence (AI), machine learning, and data science at the University of Southern Denmark, the Maersk Mc-Kinney Moller Institute invites candidates to apply for a 3-year PhD position in Responsible AI. This position is part of the project "Learn to Unlearn: Towards Responsible AI (TRAI)", funded by Novo Nordisk, which focuses on addressing critical challenges in AI, including privacy, fairness, transparency, and accountability.

Job Description 

AI has revolutionized industries, but what happens when AI learns something it shouldn't, be it biased, outdated, or sensitive data? That's where the project TRAI comes in. This research project aims to develop machine unlearning algorithms to selectively erase specific knowledge from trained AI models without affecting overall performance. These algorithms will tackle critical challenges like ensuring compliance with GDPR's "right to be forgotten," removing biases for fairer decision-making and eliminating outdated or copyrighted information for dynamic and ethical AI.

At the University of Southern Denmark (SDU), the successful candidate will join the Applied AI & Data Science (AID) unit at the Maersk Mc-Kinney Moller Institute. AID collaborates with leading universities and industry partners across Denmark, Europe, and the United States, driving innovation in artificial intelligence, statistical machine learning, and data science. By developing cutting-edge, data-driven solutions across diverse domains, AID plays a key role in shaping the future of AI.As part of this dynamic environment, the PhD candidate will work closely with other PhD students and postdoctoral researchers specializing in AI. 

Qualifications

We would like to appoint a talented and committed PhD candidate to join our research group and contribute to the advancement of Responsible AI, with a particular emphasis on unlearning, privacy, and fairness. The position is part of our ongoing efforts to develop machine unlearning algorithms that can selectively erase the knowledge of specific training data from AI systems, ensuring compliance with ethical and legal standards while promoting fairness in decision-making.

Required Qualifications:

• A master's degree in data science/AI, Mathematics, Electrical and Computer Engineering, or a related field.
• Strong background in machine learning, data science, and optimization theory.

Desired Expertise (experience in one or more of the following areas is preferred):

• Mathematical foundations of AI, such as optimization, generalization, and approximation theory
• Statistical machine learning and its applications in robust AI frameworks
• Distributed machine learning, with a focus on scalability, privacy, and efficiency in decentralized AI systems

The successful candidate will become part of a dynamic research environment at the University of Southern Denmark (SDU), Maersk Mc-Kinney Moller Institute, and will have opportunities to collaborate with leading research institutions across Europe and the USA. This position offers the chance to develop cutting-edge AI methods that align with ethical and regulatory standards, shaping the future of Responsible AI.