The postdoctoral associate will focus on developing and applying AI methodologies to drive advances in drug discovery and biomolecular design. The successful candidates will contribute significantly to the group’s mission in leveraging AI for scientific discovery.

The successful candidates will conduct groundbreaking research that transforms current AI for Science paradigms focusing on multidisciplinary applications in biomolecular modeling and design, leading to a step-change in Scientific Machine Learning (SciML). They will be expected to collaborate with members of the group as well as other stakeholders and to perform modest service duties around missions of the group, such as training and engagement.

Required Qualifications

• Ph.D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields.
• PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Substantial programming experience.
• Excellent communication skills.

Preferred Qualifications

• Demonstrated record of excellence in advancing artificial intelligence, characterized by a strong publication history in top-tier venues and a research background outlining significant contributions to AI that demonstrate high potential for research impact.
• Published research experience in AI for scientific discovery and/or AI-driven biomolecular modeling and/or scientific machine learning.