Over the last decade, the logistics industry has seen significant growth as well as a fair share of technological disruption. Consumer demand for instant delivery has surged, particularly in urban areas, and businesses have started to struggle to meet it without incurring significant last-mile delivery (LMD) costs. Drone technology advancements have opened the way for a variety of logistics applications. However, constraints such as battery capacity, maximum take-off weight, range limits, and most importantly legal laws have limited drones' effective operational range in many practical applications.
This research aims to develop a sustainable operational framework from the critical aspects of drone operations
Person specification:
- Ph.D. degree in Industrial Engineering, Operations Research, Computer Science or an equivalent combination of education and experience;
- Proven competence in developing Heuristics and Metaheuristics Solutions (for Vehicle Routing Problems prefered);
- Proven competence in developing machine learning algorithms for data analysis
- Demonstrated proficiency in writing technical research papers;
- Ability to work independently.
Application submission details:
The position has a competitive salary. Interested candidates should email the following information, as a single pdf, to mndiaye@aus.edu :
- CV, including a summary of educational background and grades.
- Names and email addresses of at least 3 references.
