Machine Learning in Transport Planning

We are looking for a graduate student that wants to optimize our world! We have an exciting graduation project that offers a unique opportunity to dive deep into the realm of transport planning within the manufacturing sector.

In this assignment, you will tackle the critical task of creating a comprehensive locomotive transport plan for one of our esteemed manufacturing clients. Key factors to consider include:

Resource availability
Optimal selection of wagon types
Travel times for individual routes

However, the true challenge lies in understanding how these factors interact and change when combined. To address this challenge, you will have the opportunity to explore a range of solution methods. You are free to determine your own solution method, but techniques that might be relevant are:

Supervised machine learning, as it will prove valuable in learning from historical data, extracting meaningful patterns, and identifying trends that can inform your decision-making process.
Reinforcement learning approaches: they will allow you to propose solid schedules that adapt and evolve based on real-time information, ensuring efficiency in dynamic scenarios.
Additionally, incorporating uncertainty modeling techniques will help assess the robustness of your proposed methods when implemented in actual production settings.

This assignment is a unique chance to apply your expertise in econometrics, data science, industrial engineering, or mathematics to real-world challenges in transport planning. You will have the opportunity to delve into cutting-edge methodologies and contribute to the development of an innovative solution.

Who are you

You are a master student in Operations Research, Econometrics, Applied Mathematics, Industrial Engineering or another related field and looking for a graduation project
You have experience with data science and machine learning
You are interested in the manufacturing and logistics sector
You are currently living in the Netherlands, studying at a Dutch University, and communicate fluently in English, verbally and in writing. A good command of Dutch is a plus
You are available for a minimum of six months to a maximum of 9 months

What we offer

Entrance to the most passionate powerhouse in applied mathematics. We share a drive to use our problem-solving skills to improve our planet, from the world at large to our own backyard.
Inclusion in a company founded by graduate students back in 1981, which today still fosters its students by:
- Excellent supervision during your graduation project.
- Good internship allowance, laptop, and other office facilities.
- An open, kind, and fun culture.
- The Student Pool, a group that organizes all kinds of activities for graduate students at ORTEC, including Thursday afternoon drinks at our own bar “ORTap” (government regulations permitting).

The next steps:

If you're an enthusiastic graduate student seeking a hands-on experience that combines analytical thinking, multidisciplinary collaboration, and problem-solving, we invite you to join us on this exciting assignment by uploading your CV, motivation letter and grade lists (BSc and MSc in one PDF if applicable). The recruitment process will consist of two online assessments, first interview, and a second interview with a small case. 

What to expect

We will help you to thrive in your field of expertise. We offer development programs, tailored to your individual needs and function requirements, including opportunities to attend courses and seminars. We offer challenging, practical hands-on experience. We operate in a flat organizational structure that keeps communication lines short. The atmosphere is open, informal, cooperative and positive. We employ over 1100 people in the Netherlands (HQ), Belgium, Germany, France, the U.K., Romania, Italy, the U.S., Australia, Brazil, Poland, Denmark and Singapore. Visit our website www.ortec.com to learn more about our solutions and clients’ experiences.

Please do not use this vacancy as an acquisition opportunity.