Post-Doctoral Research Fellow - Industrial Engineering - College of Engineering

Post

Position Summary

Job Responsibilities

• 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.

Qualifications And Skills Required

• 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.

Skills & Competencies

• 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.

Technical Skills

• 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.

Preferred Qualifications And Skills

• Industrial experience is an asset.

How To Apply

• 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.