Industrial Engineering jobs in United States

Assist the PI and Co-I in carrying out the tasks associated with the awarded PDFA grant, toward the fulfillment of the research objectives and the timely completion of the research project within the allocated time window of one year.

• Conduct a systematic review of Vehicle Routing Problem (VRP) variants in terms of modeling and solution techniques.
• Develop scalable models for multiple VRP variants incorporating battery, charging infrastructure, and real-time constraints.
• Implement exact and metaheuristic methods (e.g., branch and bound, and adaptive large neighborhood search) for large-scale VRPs.
• Test the performance of the proposed models and solution algorithms using extended versions of standard benchmark test instances available in the literature.
• Facilitate the integration of AI and ML models to predict energy consumption and optimal charging schedules for electric vehicles.
• Assist with the write-up and dissemination of findings in the form of journal publications.

• A PhD in Industrial Engineering, Operations Research, Management Science, or a closely related field.
• A proven track record of peer-reviewed publications in high-impact journals.

• Proven expertise in mathematical modeling and the development of solution algorithms (exact and metaheuristics) to address complex optimization problems.
• Strong programming skills, with C/C++ preferred and considered a strong asset. Experience with Python or other programming languages is also highly valued.

• Excellent English communication skills (both written and spoken) to effectively disseminate research outcomes.
• Knowledge of AI/ML techniques and experience integrating these techniques in the context of large-scale optimization problems.

• Industrial experience is an asset.

• Interested applicants should fill out the form.
• AUS alumni are encouraged to apply. Applicants who do not meet specified requirements will not be shortlisted. Only shortlisted candidates will be contacted.
• AUS is an equal opportunity employer. We adhere to a policy of making employment decisions without regard to race, color, age, gender, religion, national origin, disability or marital status. Opportunities for employment are based solely upon one’s qualifications.