Postdoctoral AI Scientist

Required

• PhD in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Applied Mathematics, Electrical or Computer Engineering, Operations Research, or a closely related technical field. The PhD must be completed prior to the start of the appointment.
• Demonstrated research record in machine learning, artificial intelligence, computer science, or a related technical discipline, evidenced through peer-reviewed publications, significant research projects, or comparable scientific contributions.
• Strong foundations in machine learning, algorithms, statistical methods, experimental design, and empirical research.
• Deep research experience in one or more of the following areas: large language models, knowledge representation or knowledge graphs, formal methods, agentic systems, continual learning, multimodal learning, evaluation and interpretability, or process mining.
• Ability to independently formulate research questions, design rigorous experiments, analyze results, and communicate scientific findings.
• Proficiency in Python and experience implementing and evaluating machine learning or AI systems.
• Strong written and verbal communication skills and the ability to collaborate effectively across research, engineering, and domain teams.
• Areas of Additional Research Experience
• Relevant research experience may include:
• Neurosymbolic methods, autoformalization, formal verification, theorem proving, or constraint solving.
• Ontology construction, knowledge graphs, entity resolution, graph learning, or graph-based retrieval.
• Mid-training (continued pretraining), supervised fine-tuning, preference optimization, or reinforcement learning for building domain-specialized models.