[IISE Faculty List] Auburn University ISE - Three open-rank tenure-track positions

Tue Nov 4 11:34:14 EST 2025

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Three Tenure-Track Faculty Positions (Open Rank) in Industrial & Systems Engineering at Auburn University

The Department of Industrial & Systems Engineering (ISE) at Auburn University invites applications for three open-rank tenure-track  (Assistant, Associate, or Full Professor) positions in the following areas:

1. Advanced Manufacturing, AI/ML, and Data Analytics/QSR: Candidates should have research and teaching expertise in the areas of AI-Manufacturing, Machine Learning (ML), Data Analytics, and Quality & Statistical Reliability (QSR), with preference given to those applying data analytics and ML in manufacturing contexts. Candidates are expected to have a strong theoretical and practical understanding of modern ML, including concepts, methods, tooling, and workflows. Specific areas of research interest include Industry 4.0, AI/ML-driven manufacturing, manufacturing system design and development (including machine-to-machine networking and data collection), data analytics, Smart Manufacturing, Industrial Internet of Things (IIoT), and systems analysis for manufacturing. Application Review: November 17, 2025. Apply Online: https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.auemployment.com%2Fpostings%2F56232&data=05%7C02%7Ciefac.list%40mailman.clemson.edu%7C10e9e69419d64094807e08de1bc00214%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C638978709590828322%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=3qrrH9BpkXQmLSJUV3RH%2BmgpWXgdiGwhLgNt6NuQ57g%3D&reserved=0

2. Optimization: Candidates must have strong theoretical foundations in optimization with a focus on real applications. Preference will be given to those who have experience with leveraging machine learning and artificial intelligence methods for optimization. Specific research areas may include, but are not limited to, deterministic optimization, including integer, nonlinear, and combinatorial optimization; global and non-convex optimization; machine learning for optimization; explainable artificial intelligence; heuristic and metaheuristic approaches; network design and analysis; and other related topics in optimization, modeling, and decision sciences. Application Review: December 12, 2025. Apply Online: https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.auemployment.com%2Fpostings%2F56368&data=05%7C02%7Ciefac.list%40mailman.clemson.edu%7C10e9e69419d64094807e08de1bc00214%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C638978709590843577%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=4Wfx0VbWGjJ7WU9Ys3fqJTzHNLmO%2B4N79OT%2Fv6z0bJ0%3D&reserved=0

3. Statistics: Candidates must have solid foundations in statistics, with preference given to those with a strong basis in process control, reliability, 6-Sigma (Black Belt or Master Black Belt preferred), the theory of machine learning, and artificial intelligence. Specific areas of research for position include, but are not limited to: classical, Bayesian, and/or non-parametric statistics; information science, data mining or data analytics; statistical process control; machine learning methods (i.e. supervised and unsupervised learning, deep learning, reinforcement learning, etc.); artificial intelligence methods (e.g., predictive modeling, natural language processing, generative AI); risk analysis, real options, and finance; and other related topics in statistics. Application Review: December 12, 2025. Apply Online: https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.auemployment.com%2Fpostings%2F56368&data=05%7C02%7Ciefac.list%40mailman.clemson.edu%7C10e9e69419d64094807e08de1bc00214%7C0c9bf8f6ccad4b87818d49026938aa97%7C0%7C0%7C638978709590854799%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=kxRdlofndSKeYo9z75xJkwkSASf%2FktoOlBypKx8KgHI%3D&reserved=0

See attached ad for details. Apologies for cross-postings.

Daniel F. Silva, Ph.D.

Associate Professor

Industrial and Systems Engineering

Auburn University

Email: silva at auburn.edu<mailto:silva at auburn.edu>

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