PhD Candidate – Cognitive Phenomena in Generative AI, Bridging Psychology and AI

📋 Description

• Conduct investigations and categorize cognitive phenomena resembling human thought in language and multimodal AI systems.

• Examine the fundamental mechanisms from both computational and cognitive viewpoints.

• Create and implement experiments to assess model performance, biases, and dependability.

• Innovate concepts and prototypes aimed at reducing undesirable behaviors in practical applications.

• Play a role in advancing safer and more reliable AI for voice assistants and infotainment platforms.

⛳️ Requirements

• Completed master’s degree, for instance, in Computer Science, AI/ML, or Psychology.

• Strong foundation in psychology or cognitive science (e.g., cognitive processes, experimental design, behavioral analysis).

• Comprehensive understanding of AI/ML, with experience in deep learning frameworks (PyTorch, TensorFlow) and language models.

• In-depth knowledge and practical experience with Generative AI, large language models (LLMs), small language models (SLMs), and vision-language models (VLMs).

• Proficiency in programming (Python preferred) and familiarity with data analysis techniques.

• Enthusiasm for interdisciplinary research that connects human cognition with AI systems.

🏝️ Benefits

• 30 days of paid leave.

• Opportunities to supervise students.

• Options for remote work.

• Temporary work arrangements from abroad in selected countries.

• Special events such as PhD-Day (Doktorandentag) and training sessions.