Position Overview
Reporting directly to the Director of Solution Software Research and Performance, the Research Engineer will play a crucial role in developing and implementing performance measurement and analysis techniques for our next-generation logistics solutions. This position is at the forefront of innovative research, aimed at significantly improving the efficiency and performance of our next-generation automated distribution centres.

What we offer:

Key Responsibilities

• Develop advanced techniques for measuring, analyzing, and predicting the performance of complex logistics systems.
• Design and conduct scientific experiments, using discrete event simulation and other approaches as experimental environments.
• Analyze and present experimental data using appropriate statistical methods.
• Collaborate with various research teams across the organization to influence roadmaps and identify research technologies for commercialization.
• Apply system thinking to integrate multiple technologies and disciplines into cohesive logistics solutions.
• Research and adapt advanced applied mathematical techniques from related fields to solve unique logistics design and performance evaluation challenges.
• Contribute to the development of innovative methodologies that provide competitive advantages in logistics solution design and performance optimization.
• Prepare and deliver high-quality presentations and reports for both internal teams and external customers.

Tasks and Qualifications:

Qualifications

• Master's degree in a relevant field.
• Strong formal academic background in mathematics or a mathematically intensive discipline, with a solid foundation in advanced mathematical concepts.
• Aptitude for innovative mathematical thinking and ability to apply complex mathematical principles to real-world problems.
• Strong background in applied statistics and experimental design.
• Working knowledge of Queueing Theory and its applications.
• Minimum 3 years of experience in logistics software system analysis.
• Experience with system integration and interdisciplinary projects.
• Background in or exposure to fields demonstrating systems thinking.
• Excellent analytical and problem-solving skills.
• Strong communication skills, including the ability to write technical documents, give presentations, and collaborate effectively in person and via digital platforms.
• Experience presenting to both internal teams and external customers.

Preferred Qualifications

• Familiarity with data analysis tools such as Alteryx.