Phd Position Ai/ml Algorithms for Next Generation

1 week geleden

Delft, Nederland TU Delft Voltijd

**PhD Position AI/ML Algorithms for Next Generation Transportation Systems**:
**_Are you curious how AI and ML can revolutionize the design of next-generation transportation systems?_**:
**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.

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.

Challenge. Change. Impact

**Faculty of Electrical Engineering, Mathematics and Computer Science**

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment - which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

, Mathematics and Computer Science.

**Conditions of employment**

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service. This service provides information for

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