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PhD in Explainable AI, Algorithmic Ethics, and Computational Neuroscience

Beyond the Code: Research, develop, and govern the future of AI.

Modality: Hybrid (Online/On-site)
Duration: 48 months
Language: FR / DE / EN

Program Summary

Artificial Intelligence has already transformed the world, but the true revolution is just beginning, driven by theoretical and ethical advances. Our PhD is for researchers who seek not only to master the most sophisticated AI technologies but also to generate fundamental knowledge to ensure its application is responsible, transparent, and beneficial to humanity.

Why choose this PhD at NGCU?

Explore cutting-edge AI architectures with a focus on theoretical development. Conduct original research in Explainable AI (XAI). Dive into research on Brain-Computer Interfaces (BCI) and Cognitive AI. Contribute to the formulation of AI policies through evidence-based research. You will become a cutting-edge researcher, capable of shaping the most complex applications of AI, contributing with novel knowledge.

Program Coordinator

Profile picture of Dr. Anya Sharma

Dr. Anya Sharma

PhD in Computer Science and AI Ethics

Dr. Sharma is a leading voice in research on AI ethics and governance. Her work on algorithm auditing and algorithmic fairness has been instrumental in developing public policies in Europe and North America. She is an affiliated researcher at the AI Ethics Institute at Stanford University.

Innovative Research Lines

Focuses on research into creating AI systems that explain their reasoning and are secure, exploring new methodologies and frameworks.

Explores the neural interaction between humans and machines and the design of AI systems that simulate human cognitive processes.

Application of AI to solve global challenges, focusing on generating knowledge about effectiveness and ethics.

Introduction to the principles of quantum computing and how it can revolutionize AI capabilities, opening new frontiers for research.

Enables auditing of AI systems for bias, fairness, and transparency through critical research.