Post Doc Research Assistant in Suppy Chain & Operations Management

Job Summary

The Supply Chain and Operations Management Department invites candidates to apply for a 2-year postdoctoral position. We are seeking a highly motivated Postdoctoral Researcher to join our team working on Statistical Learning and Decision Intelligence for Supply Chain and Operations Optimization. The successful candidate will contribute to cutting-edge research at the intersection of Statistical Machine Learning and Generative Artificial Intelligence, Stochastic Modeling and Optimization, and Data-driven Decision-making with applications in supply chain and operations management. This position offers an exciting opportunity to collaborate with industry partners, publish in top-tier journals, and develop innovative methodologies for real-world challenges in supply chain and operations.

Key Responsibilities

• Develop and apply advanced statistical machine learning, reinforcement learning, and gen-AI-driven decision models for supply chain and operations optimization.

• Design scalable algorithms for demand forecasting, risk management, strategic sourcing, inventory control and supply chain optimization, pricing and revenue management.

• Collaborate with interdisciplinary teams and industry partners to translate research into practical solutions.

• Publish high-impact research in leading journals (e.g., Management Science, Operations Research, MSOM, POM, JASA, JMLR etc.).

• Assist in mentoring graduate students and contributing to grant proposals.

• Participate in teaching undergraduate courses (6 credit hours per year)

Qualifications

• Ph.D. in Operations Research, Industrial Engineering, Computer Science, Statistics, Applied Mathematics, or a related field.

• Strong background in convex analysis, statistical machine learning (reinforcement learning, LLM and generative modeling), stochastic modeling and optimization.

• Proficiency in programming (Python, R, Julia, or similar) and experience with frameworks like PyTorch, TensorFlow, or JAX.

• Prior research in statistical learning and online optimization, dynamic pricing and revenue optimization, supply chain and operations management is a plus.

• Excellent analytical, writing, and communication skills.

Submit the following:

• Cover letter of interest that includes a statement describing how the applicant's research fits the principal duties and qualifications of the position,

• Curriculum Vitae,

• Recent research paper or other writing sample related to the position description

• Evidence of teaching experiences and effectiveness and/or effectiveness in administration

• Candidates who advance in the review process may be asked to provide letters of recommendation and transcripts.

Review of applications will begin on May 15, 2025. The position will remain open until filled.

The candidate will be working under the supervision of Dr. Zhan Pang, Professor of Management in the Department of Supply Chain and Operations Management. For additional information, contact Dr. Zhan Pang at

Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.