This fully funded PhD position in Operations Research is a joint opportunity between Ghent University and KU Leuven, focusing on optimization and education research. The successful candidate will work under the supervision of Prof. Dries Goossens (Ghent University), Prof. Jeroen Belien, and Prof. Liesje De Boeck (KU Leuven), engaging in high-level research at the intersection of operations research, algorithm design, and educational innovation. The project offers two main research tracks. The first centers on practical organization of teaching, including university course timetabling, examination scheduling, master thesis defense assignments, and student project allocations. The aim is to develop algorithms that optimize planning and assignments, with a special emphasis on fairness—balancing preferences of teachers and students. The second track investigates the teaching of operations research, specifically the impact of AI-assisted modeling exercises versus open-ended modeling on students’ modeling skills and critical thinking. The research will explore whether exposure to AI-generated solutions (such as ChatGPT) enhances students’ ability to develop models from scratch and critically assess errors in AI-generated models. The position is flexible, allowing the PhD researcher to develop their own research ideas in consultation with supervisors. The primary goal is to publish high-quality, impactful research papers while ensuring practical relevance in teaching. The candidate may also guide Bachelor and Master students, participate in teaching activities, and supervise exams. Applicants should have recently completed or be about to complete a master’s degree in Engineering, Business Engineering, Mathematics, Data Science, Operations Research, Operations Management, Computer Science, Artificial Intelligence, or a similar field. Excellent academic results, a strong mathematical background, programming skills, and a keen interest in operations research are required. Candidates must demonstrate independent research ability, teamwork skills, and excellent English communication. International mobility and enrollment in the KU Leuven PhD program (including 21 ECTS coursework) are expected. The offer includes a full-time PhD position for up to four years, subject to yearly positive evaluation, with a competitive salary according to university scales. The position provides opportunities for personal growth, conference participation, doctoral school courses, educational initiatives, and publication. The working environment is dynamic, inclusive, and supportive, with active research groups in Ghent, Brussels, and Leuven. Applications should be submitted via KU Leuven’s online platform, including a motivation letter, CV, and academic transcripts. For more information, contact Prof. Dries Goossens ([email protected]), Prof. Jeroen Belien ([email protected]), or Prof. Liesje De Boeck ([email protected]). KU Leuven is committed to equal opportunity and diversity, offering support for accessibility and inclusion.

This fully funded PhD position at KU Leuven offers an exciting opportunity to conduct research in Operations Research, focusing on data-driven methods for the Inventory Routing Problem with Pickups and Deliveries (IRP-PD) under demand and supply uncertainty. The project is supervised by Prof. Jeroen Belien (Operations Management research group, Faculty of Economics and Business, campus Brussels) and Prof. Tias Guns (Declarative Languages and Artificial Intelligence, Faculty of Engineering Science, campus Arenberg). The research aims to develop efficient data-driven approaches that integrate machine learning techniques and real-time sensor data to optimize inventory and routing decisions, minimize costs, and ensure high service levels in logistics operations. The IRP-PD involves the joint optimization of inventory and routing decisions across multiple locations and time periods, with the added complexity of uncertain demand and supply. The project will leverage historical data and auxiliary information within a Predict-then-Optimize (PtO) framework, using machine learning to improve demand and supply predictions for subsequent optimization. Additionally, the strategic use of real-time sensor inputs from selected nodes will be explored to enhance dynamic routing and inventory decisions. The goal is to provide novel solution methods for managing uncertainty and improving decision quality in logistics and supply chain management. The successful candidate will join a dynamic and internationally recognized research environment in Brussels and Leuven, actively participating in seminars, conferences, and collaborative research activities. While the primary focus is research, the candidate may also guide Bachelor and Master students, participate in teaching, and supervise exams. The position is for a maximum of four years, contingent on successful yearly evaluations, and offers a competitive salary according to official university scales (salary scale 43). Numerous opportunities for personal growth are available, including conference participation, doctoral schools, educational initiatives, and publication opportunities. Applicants should have recently completed or be about to complete a master's degree in Engineering, Business Engineering, Mathematics, Data Science, Operations Research, Operations Management, Computer Science, Artificial Intelligence, or a similar field. Excellent academic results (honors level or higher), a strong mathematically oriented background, advanced programming skills, and a keen interest in operations research are required. Candidates must demonstrate independent research ability (e.g., through an excellent MSc thesis), teamwork skills, and excellent command of spoken and written English. Willingness to participate in seminars and conferences, international mobility, and enrollment in the PhD program (including 21 ECTS of coursework) are expected. Teaching and exam supervision duties are also part of the role. KU Leuven is committed to fostering an inclusive, respectful, and socially safe environment, embracing diversity and equal opportunity. Applications should be submitted via KU Leuven’s online platform, including a letter of motivation, CV, and university diploma copies and transcripts. For further information, contact Prof. Jeroen Belien or Prof. Tias Guns by email. The application deadline is March 1, 2026.

This fully funded PhD position in Operations Research is a joint opportunity between KU Leuven and Ghent University, located in Ghent, Brussels, and Leuven, Belgium. The research focuses on applying Operations Research (OR) to educational optimization, with two main tracks: optimization of educational scheduling (including university course timetabling, high school scheduling, exam scheduling, and master thesis defenses) and the teaching of Operations Research (studying the effects of AI-assisted versus open-ended modeling exercises on student learning, and investigating how AI-generated solutions like ChatGPT influence modeling skills, critical thinking, and error assessment). The project is supervised by Prof. Dries Goossens (Ghent University), Prof. Jeroen Belien, and Prof. Liesje De Boeck (KU Leuven), all from faculties of Economics and Business. The position is ideal for candidates passionate about operations research, educational optimization, AI in learning, and data-driven teaching methodologies in an international academic environment. Applicants should have or be completing a Master's degree in Engineering, Business Engineering, Mathematics, Data Science, Operations Research, Operations Management, Computer Science, AI, or a related field by 2026. Strong academic results, mathematical and programming skills, independent research ability, teamwork, and excellent English communication are required. The role includes participation in seminars, conferences, and international mobility, as well as enrollment in the KU Leuven PhD program (21 ECTS coursework) and contributions to teaching and student guidance. The offer includes a full-time, 4-year PhD position with a competitive salary (according to university scales), contingent on yearly evaluations. The environment is supportive and constructive, with opportunities for personal growth through conference participation, doctoral schools, teaching, and publications. The application deadline is 01 March 2026. Applications should be submitted via the KU Leuven online platform, including a letter of motivation, CV, and academic transcripts. For inquiries, contact Prof. Dries Goossens, Prof. Jeroen Belien, or Prof. Liesje De Boeck by email. Relevant academic keywords: Operations Research, Educational Optimization, AI in Education, Course Timetabling, Scheduling, Algorithm Development, Fairness in Education, Mathematical Modeling, Data Science, Critical Thinking.