The Purdue University College of Agriculture seeks applicants for a tenure-track Assistant Professor of Computational Agricultural and Natural Systems Modeling.  This is a full-time (9-month) position with an appointment in research and teaching. The successful candidate will be appointed in an appropriate academic department within the College of Agriculture, based on their disciplinary expertise and research program. The position is intended for a scholar who can develop and lead a rigorous computational research program to improve the performance and resilience of agricultural, food, biological, environmental, and natural-resource systems.

Applications of the work could relate to agricultural production and natural systems, plant or animal breeding and genetics, soil health, animal agriculture, insect and disease systems, water resources, forestry, microbiomes, food systems, conservation planning, supply chains, logistics, transportation systems, rural and agricultural communities, agricultural policy, and regional or global food systems. We expect the candidate to build a nationally and internationally recognized research program that advances discovery and delivers robust, decision-ready modeling and computational tools for agricultural, environmental and natural-resource systems.

The successful candidate will teach graduate and/or undergraduate courses in areas such as systems modeling, computational science, scientific machine learning, decision analysis, optimization, reproducible computation, or data-model integration. Course modality is generally in person. The potential may exist for teaching online/distance courses during the academic year. The candidate will also mentor students from disciplinary backgrounds who need advanced computational preparation to address agricultural and life-science problems.