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EAISI - Eindhoven Artificial Intelligence Systems Institute
At TU/e, we solicit applications for PhD students in an industry-driven project. With our industry partner, we investigate more realistic, but also easily usable planning tools for mid-sized transport companies. At the core of all algorithms and planning tools stands the possible increase of sustainability, e.g., by reducing empty mileage and unused capacity.Project description
With this project, we aim to develop planning solutions using both traditional methods from operations research and artificial intelligence. The developed tools will have the potential to make road transport both more efficient, more resilient, and more sustainable, and will also address driver shortages, ongoing electrification and automation of road transport, and collaboration and competition in the transportation market.
During an early phase of the project, the students will jointly get to know the industry partner and the challenges of such medium-sized road transport companies. Further, the students will become acquainted with the daily job of planners, and will perform some preliminary analyses. We will also use this time to break down the project into multiple smaller research projects.
Some exemplary research projects include:
The PhD students will be supervised by dr. Albert H. Schrotenboer, dr. Layla Martin, and prof. dr. Tom Van Woensel. Albert and Layla are both assistant professors with a clear focus on planning and operating transport and logistics, and Tom is a full professor for freight logistics.
Our industry partner is an international logistics service provider employing more than 400 people headquartered in Utrecht (around one hour by car from TU/e, costs covered). They offer transport, flexible storage and logistics optimization, and act as a transporter (2PL), freight forwarder (3PL) and handle the complete management of logistics transport activities (4PL). Our industry partner strives to offer the best possible sustainable transport solutions based on honesty and respect for people and society.
The project, the supervisors, and eventually also the PhD students are embedded in TU/e's Operations, Planning, Accounting, and Control (OPAC) group, the Eindhoven AI systems institute (EAISI) of TU/e, and the European Supply Chain Forum (ESCF). OPAC uses methods from operations research and operations management on a wide variety of problems, and currently hosts around 50 PhD students from various backgrounds. EAISI brings together all AI- related activities throughout TU/e and will support the PhD students by providing an enriching environment. ESCF works on fostering collaborations between industry and academia, among others in their program lines “ESCF Circular” and “AI planner for the future”.Target profile
We are looking for PhD students with a keen interest making transport more sustainable. Students shall have prior experience in optimization, operations research, decision support, and/or artificial intelligence, for example proven by a suitable master degree (e.g., Industrial Engineering, Econometrics, Applied Mathematics, Computer Science). Ideally, applicants have already finished their master degree or are expected to finish early 2023 to allow a project start before summer 2023.
Candidates must have experience in programming, using languages such as C++ or Java. Ideally, candidates have experience with mathematical modeling and implementation in CPLEX or Gurobi, implementing efficient heuristics, and/or machine learning.
Due to our industry collaboration, we particularly look for outgoing, communicative students with willingness to learn the Dutch language. In particular during the first phase of the project, the students will spend several days per week at our industry partner in Utrecht.Job requirements
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands- on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Curious to hear more about what it's like as a PhD candidate at TU/e? Please view the video.How to get in touch
We are happy to answer any remaining questions via email (a.h.schrotenboerattue.nl; l.martinattue.nl).
Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services (HRServices.IEISattue.nl.
We invite you to submit a complete application by using the apply button. The application should include a:
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.