Postdoc Research Associate in Machine Learning

Iowa State University•Ames, IA

About The Position

This position will involve developing, validating, and deploying machine learning models to predict complex physical phenomena, including physical system trajectories. The research will incorporate uncertainty quantification and model calibration techniques to improve model reliability and interpretability. The postdoctoral associate will play a key role in authoring academic publications and will contribute to, and potentially lead, the preparation of grant proposals. At VRAC, our mission is clear: “To elevate the synergy between humans and complex interdisciplinary systems to unprecedented levels of performance”. Through our exceptional Human Computer Interaction (HCI) graduate program, we nurture the next generation of visionaries and leaders in the field, providing them with a comprehensive understanding of the intricate relationship between humans and technology. This empowers our students to create intuitive and transformative user experiences that bridge the gap between innovation and practical application.

Requirements

Ph.D. in Engineering, Mathematics, Computer Science, or related fields.

Nice To Haves

Strong expertise in machine learning applied to physical and engineering systems, with advanced programming experience in Python and ML frameworks such as PyTorch and JAX.

Responsibilities

Developing, validating, and deploying machine learning models to predict complex physical phenomena, including physical system trajectories.
Incorporating uncertainty quantification and model calibration techniques to improve model reliability and interpretability.
Authoring academic publications.
Contributing to, and potentially leading, the preparation of grant proposals.