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Purdue University

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PhD Position in AI for Transportation, Logistics, and Supply Chain Optimization Purdue University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full financial support is offered for accepted PhD students in the PhD in Technology program with a focus on Industrial Engineering Technology.

Deadline

Nov 15, 2026

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Country

United States

University

Purdue University

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Mathematics
Artificial Intelligence
Transport
Industrial Engineering
Digital Twin Technology
Logistics Management
Decarbonization
Optimisation
Statistics

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About this position

One PhD position is available in AI for Transportation, Logistics, and Supply Chain Optimization at Purdue University (School of Engineering Technology, West Lafayette, Indiana, USA). The position is linked to the Purdue SmartLogs Lab and will be supervised by Dr. Tho Le.

The research themes include digital twins, data analytics, transportation and logistics systems, supply chain resilience, sustainability, optimization, security, urban logistics modeling (including delivery robots and drones), and freight transport electrification and decarbonization.

This is a fully funded PhD opportunity for accepted students in the PhD in Technology program with a focus on Industrial Engineering Technology. Applicants should have a master’s degree or be near completion in computer science/engineering, operations research, industrial engineering, applied mathematics, statistics, data science, transportation engineering, or a related field.

Preferred preparation includes strong skills in AI, optimization, network science, and programming. Useful tools include Python, PyTorch, TensorFlow, MATLAB, R, and SQL. English proficiency requirements listed are TOEFL 80 or IELTS 6.5.

The application deadline is November 15, 2026, and the start date is Spring 2027. To apply, complete the short form and email the requested documents to Dr. Tho Le.

Funding details

Full financial support is offered for accepted PhD students in the PhD in Technology program with a focus on Industrial Engineering Technology.

What's required

Applicants should have a master's degree or be close to finishing one in computer science/engineering, operations research, industrial engineering, applied mathematics, statistics, data science, transportation engineering, or a relevant field. Strong backgrounds in AI, optimization, network science, and programming are preferred, with proficiency in Python, PyTorch, TensorFlow, MATLAB, R, or SQL highly desirable. Minimum English proficiency is TOEFL 80 or IELTS 6.5. Accepted PhD students receive full financial support.

How to apply

Complete the Microsoft Forms short form, then email Dr. Tho Le a zipped application folder named "Last name_First name" containing a CV with at least 3 referees, transcripts, a cover letter, paper(s) or writing sample(s), TOEFL/IELTS certificate, and GRE certificate. Use the subject line "PhD_Application_Last name_First name".

More information can be found here

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