Job description
Do you aspire to conduct groundbreaking AI/ML research while collaborating closely with Amazon Science Teams? Join us and make a real-world impact!
Efficient and reliable transportation systems are critical to the success of global e-commerce and vital for the functioning of modern societies. As these systems grow more complex, challenges such as optimizing delivery routes and capacity planning, managing dynamic demand under stringent deadlines, and ensuring cost-effective and sustainable logistics become increasingly intricate. AI and ML provide a powerful foundation for addressing these challenges through data-driven models, principled optimization techniques, and scalable solution algorithms capable of handling uncertainties inherent in real-world systems.
In Project Hermes, TU Delft and Amazon join forces to design the next generation of AI/ML-enabled transportation solutions, with a focus on efficiency and sustainability. As a PhD researcher, you will drive algorithmic innovations for transportation systems, utilizing and extending AI/ML tools as well as cutting-edge optimization techniques, towards creating solutions that are robust, principled and scalable. The studied problems will be motivated by real-world use cases and evaluated in representative scenarios, in collaboration with scientists from Amazon Science, EU Logistics.
Key Responsibilities
- Develop novel optimization models for transportation networks and logistic systems, incorporating multi-dimensional operational constraints pertaining to capacity, connectivity, and resource management.
- Design AI/ML algorithms to tackle extremely large-scale logistics problems, using innovative methods based on Deep Learning, Reinforcement Learning, Bayesian Learning and Online (Non-) Convex Optimization.
Job requirements
Basic Qualifications
- Master's degree in: Computer Science, Machine Learning, Operations Research, Applied Mathematics, or related fields.
- Mathematical Foundations: Strong knowledge of optimization techniques such as linear programming, convex optimization and combinatorial optimization. Proficiency in linear algebra, probability and statistics.
- Programming Skills: Hands-on experience with one or more languages such as Python, Java, C++ or Julia; and experience in evaluating algorithms on large and/or real-world datasets.
- Excellent command of written and spoken English (subject to TU Delft eligibility criteria).
Preferred Qualifications
- Prior experience in the transportation, logistics or other related industry.
- Familiarity with commercial optimization tools such as CPLEX, Gurobi, or XPRESS.
- Research experience and publications in relevant topics.
- Experience working with real-world datasets and big data technologies (e.g., Hadoop, Map-Reduce).
TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.
At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.
Challenge. Change. Impact!
- CV
- Motivational letter
- You can apply online. We will not process applications sent by email and/or post.
- A pre-employment screening can be part of the selection procedure.
- A knowledge security check will be part of the selection procedure.
- Please do not contact us for unsolicited services.
Het salaris bedraagt €2872 - €3670