PhD in Optimizing Multi-actor Transport and Logistics Systems

Delft University of Technology; Delft; In loco; EUR 45.000 - 60.000; Tempo pieno

Descrizione del lavoro

Delft University of Technology in Delft invites applications for a research position focused on game-theoretic and optimization models for multi-actor decision problems. You will design scalable solution methods for large-scale optimization and contribute to international publications.

The role requires an MSc in operations research or related fields, strong background in mathematical optimization (MIQP), programming skills in Python/Julia/Java/C++, and excellent written and spoken English in

Competenze

• MSc in a related discipline with strong mathematical background.
• Proven ability in mathematical optimization, especially MIQP.
• Excellent programming skills in Python, Julia, Java or C++ with optimization solvers.
• Strong written and spoken English; ability to work in interdisciplinary teams.

Mansioni

• Develop new game-theoretic/optimization models for multi-actor decision problems.
• Design scalable solution methods for large-scale optimisation problems.
• Contribute to scientific publications in leading journals in operations research, transportation, and logistics.
• Communicate research findings to an interdisciplinary audience.

Conoscenze

Programming: Python

Julia

Java

C++

Mathematical optimization

Mixed-integer programming

Academic writing

English proficiency

Team collaboration

Game theory knowledge

Formazione

MSc in operations research / econometrics / applied mathematics / CS / industrial engineering / systems & control

Strumenti

Gurobi

CPLEX

Descrizione del lavoro

Responsibilities

• develop new game-theoretic/optimization models for multi-actor decision problems
• design scalable solution methods for large-scale optimisation problems
• contribute to scientific publications in leading journals in operations research, transportation, and logistics
• communicate research findings to an interdisciplinary audience

We are looking for a candidate who meets the following requirements:

• An MSc degree in operations research, econometrics, applied mathematics, computer science, industrial engineering, systems and control, or a closely related discipline
• A strong background and demonstrated experience in mathematical optimisation, in particular mixed-integer programming
• Excellent programming skills (e.g., Python, Julia, Java, or C++) and experience with optimization solvers
• Very good academic writing and communication skills in English
• An open and collaborative attitude and the ability to work effectively in an interdisciplinary and international research environment
• Knowledge of game theory, bi-level optimization and decomposition-based solution algorithms are a plus

Motivational letter