Provide technical leadership for a scientific direction in AI for science
• Perform research that advances the state-of-the-art in AI for chemistry and materials science
• Work closely with internal and external partners to realize impact of methods advances
• Work towards long-term goals, while identifying intermediate milestones
• Influence progress of relevant research communities by producing publications
• Open source high quality code and produce reproducible research
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• A PhD in AI, computer science, data science, science/engineering, or related technical fields
• First-authored or last-authored publications at peer-reviewed conferences, such as ICML, NeurIPS, ICLR, and other similar venues
• 4+ years experience holding an industry, postdoctoral, faculty, or government researcher position
• Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, AI for science, or related areas
• Experience in developing and debugging in Python or similar programming languages
Preferred Qualifications
• Research and engineering experience demonstrated via publications, grants, fellowships, patents, open source code
• Experience collaborating in a team environment on research projects
• Experience in applying AI systems to solve science and engineering problems
• Experience in molecular simulations, long timescale dynamics, or generative models
