The Operations Management Research Group at KU Leuven, Belgium, invites applications for a full-time PhD position focused on data-driven methods for integrating human preferences and fairness considerations into scheduling processes. This research project aims to advance scheduling in contexts such as surgery, patient, or staff allocation by leveraging multi-objective optimization and machine learning approaches, with a particular emphasis on analyzing efficiency-fairness trade-offs. The position is supervised by Prof. Laura Maria Poreschack at the Research Centre for Operations Management, located on the Brussels and Leuven campuses. KU Leuven is the largest university in Belgium and consistently ranks among the top 50 universities worldwide. Its vibrant academic environment spans multiple campuses, including historic Leuven, Brussels, and Antwerp, and fosters strong international research networks through collaborations with over 450 partner institutions. The Operations Management Research Group covers a wide range of challenging topics, offering flexibility for PhD researchers to develop their own research ideas as the field evolves. The primary objective is to publish high-quality research papers with practical relevance and meaningful impact on teaching. The PhD position is designed to lead to a doctoral degree within four years. The initial contract is for one year, with the possibility of extension up to four years following a positive evaluation. The tentative starting date is 15 September 2026, subject to candidate availability. The working environment is dynamic and pleasant, with active engagement in scientific research at the highest international level. Applicants should have a master’s degree in Engineering, Business, Mathematics, Econometrics, or data/computer science, or a similar degree with equivalent academic level. A strong, mathematically-oriented academic background is essential, with knowledge of combinatorial optimization, scheduling problems, mathematical modelling, machine learning, and programming skills considered assets. Interest in supply chain management and data-driven methodologies is expected. Candidates must demonstrate independent research ability, excellent command of spoken and written English, and readiness to participate in seminars, international conferences, and teaching activities. Enrollment in the PhD program of the Faculty of Economics and Business is required, including 21 ECTS of coursework in the first year. KU Leuven is committed to diversity, inclusion, and equal opportunity, fostering an environment that values open dialogue and differences in perspective. The university does not accept any form of discrimination and offers support for accessibility and other needs. To apply, submit your application via the KU Leuven jobsite, including a letter of motivation with a statement of skills and research interests, a detailed CV, and university diploma copies and transcripts. For further information, contact Prof. Laura Maria Poreschack at [email protected].

KU Leuven’s Research Centre for Operations Management is offering a full-time PhD position focused on integrating human preferences and fairness into scheduling processes, such as surgery, patient, and staff scheduling. The project leverages multi-objective optimization, machine learning, and data-driven methods to analyze efficiency–fairness trade-offs, with a strong emphasis on practical impact in healthcare and related fields. The successful candidate will join the Operations Management Research Group, working under the supervision of Prof. Dr. Laura Maria Poreschack, with activities spanning both Leuven and Brussels campuses. The PhD project encourages candidates to develop their own research ideas within the broad theme of data-driven scheduling and fairness, aiming for high-quality, publishable research. The environment is dynamic and international, providing opportunities to participate in seminars, international conferences, and collaborative research. The candidate will also enroll in the PhD program of the Faculty of Economics and Business (21 ECTS coursework) and contribute to teaching, supervision, and exam correction. Applicants should have a Master’s degree in Engineering, Business, Mathematics, Econometrics, or Data/Computer Science, with a strong background in combinatorial optimization, scheduling, and mathematical modeling. Familiarity with machine learning and programming is advantageous. Candidates should demonstrate independent research skills, preferably through an MSc thesis, and possess excellent English communication skills. The position is ideal for those interested in supply chain management, data-driven methodologies, and the intersection of operations research and fairness. KU Leuven offers an initial 1-year contract, extendable up to 4 years after positive evaluation. The tentative start date is 15 September 2026. Application requires a letter of motivation, detailed CV, and copies of university diplomas and transcripts, submitted via the KU Leuven online portal. For further information, contact Prof. Dr. Laura Maria Poreschack at [email protected]. The application deadline is 22 March 2026. Keywords: Operations Management, Scheduling, Fairness, Optimization, Machine Learning, Data-Driven Methods, Healthcare Scheduling, Multi-objective Optimization, Combinatorial Optimization, Mathematical Modeling.