An academic in Optimization and Learning for Data-Driven Decision systems

Université catholique de Louvain; Belgique; Sur place; EUR 60 000 - 90 000; Plein temps

Avantages offerts par ce poste

Transport benefits

Family benefits

Culture benefits

Résumé du poste

Université catholique de Louvain invites applications for a full-time academic position in Optimization and Learning for Data-Driven Decision systems. The role blends teaching across English and French courses with a vibrant research program in mathematical optimization, learning-based decision methods, and AI integration.

The successful candidate will join CORE/LIDAM activities, supervise doctoral students, and contribute to international collaborations while advancing the university’s data

Qualifications

• PhD in Operations Research or related quantitative field.
• Proven teaching track record at university level.
• Strong research portfolio in optimization or ML.

Responsabilités

• Develop and teach courses in optimization and data-driven decision methods.
• Advance an internationally visible research agenda and supervise doctoral students.
• Engage in academic service and collaboration within CORE/LIDAM.

Connaissances

Optimization

Machine learning

Operations research

Data science

Formation

PhD in Operations Research

PhD in Applied Mathematics

PhD in Computer Science

Outils

Python

Julia

Description du poste

Organisation/Company Université catholique de Louvain Research Field Computer science » Other Economics » Econometrics Engineering » Systems engineering Mathematics » Applied mathematics Mathematics » Computational mathematics Mathematics » Statistics Researcher Profile Established Researcher (R3) Application Deadline 5 Nov 2026 - 11:00 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Reference: 38690/ LSM 067 / 2027

UCLouvain seeks to recruit

Afull-timeacademic position inOptimization and Learning for Data-Driven Decision systems

About us

UCLouvain is the leading French-speaking university in Belgium and is also widely recognised internationally. Founded in the heart of Europe in 1425, the university brings together 40,000 students and 6,000 staff members on nine campuses in Brussels and Wallonia. Research and education activities are organised in 20 faculties, 23 research institutes, 5 learning centres and 18 libraries. UCLouvain also has two university hospitals.

UCLouvain is a major player in the transition to a sustainable society. The challenges of the ecological crisis are integrated into courses and the university develops numerous local projects (such as a university farm and sustainable campuses). As a digital university, UCLouvain is involved in open science and education, and trains academics in innovative teaching practices through its Louvain Learning Lab. Thanks to two science parks, the university's research benefits from interaction with 250 companies and 3 incubators, which is fuelled further by being at the centre of a region driven by technological innovation.

UCLouvain has a strong tradition of international collaboration in both teaching and research. These partnerships take shape through numerous exchange agreements, its firm commitment to the European alliance Circle U. and the network The Guild, as well as the welcoming of a large community of international researchers, supported by the Louvain Welcome Desk.

Within the Louvain School of Management (LSM) and theLouvain Institute of Data Analysis and Modeling in economics and statistics (LIDAM), Social Sciences and Humanities Sector, this position will include the following teaching, research and community service duties:

• Teaching

To develop, in future managers, high-levels skills in coding, optimization, and learning-based decision methodologie, the current course portfolio includes programming, operations research, artificial intelligence, and quantitative decision making. The teaching load is delivered in English and French at the bachelor's and master's levels, across the two campuses of the Louvain School of Management (LSM), located in Louvain-la-Neuve and Mons. Overall, your presence will help to expand the capacity for supervising dissertations and diversify teaching approaches, whilst ensuring a stronger interdisciplinary presence.

• Research

To develop a strong and internationally visible research agenda centered on mathematical optimization and its integration with data science and machine learning for decision systems, research areas of interest include advanced optimization methods (linear, integer, stochastic, robust, distributionally robust, and chance-constrained); predictive and prescriptive analytics bridging forecasting and decision-making; learning-integrated decision frameworks (predict-then-optimize, decision-focused learning, reinforcement learning); and algorithmic decision models combining mathematical programming with AI techniques.

The successful candidate is expected to play an active role within the Louvain Institute for Data Analysis and Modeling (LIDAM), and more specifically in the Center for Operations Research and Econometrics (CORE), by participating in academic events, publishing in leading journals in operations research, mathematical programming and machine learning, supervising doctoral students, and actively collaborating with researchers from the Center for Operations Research and Econometrics (CORE), and more generally from the Louvain Institute for Data Analysis and Modeling (LIDAM), as well as those from the Institute of Information and Communication Technologies, Electronics, and Applied Mathematics (ICTEAM).

Once tenured, the successful candidate will carry out various service activities and responsibilities within the institution, such as being a member of a programme committee or examination committee or having management responsibilities within the faculty or research institute.

The successful candidate will also contribute to serving society, particularly in the economic, social, cultural or development cooperation fields. Finally, you will ensure, through research and teaching activities, the university's international visibility.

Who we're looking for

• Education

You have a PhD in Operations Research, Applied Mathematics, Systems Engineering, Computer Science, Management Engineering, or a closely related quantitative field.

• Experience

You have a proven track record in university teaching, with evidence where possible by formal evaluations. You can demonstrate a strong and independent research track record, with publications in leading international journals, or clear potential to publish, in operations research, mathematical programming, learning-based optimization, or machine learning. You have a strong core identity rooted in mathematical programming and operations research. Experience in securing competitive research funding and supervising doctoral students will be considered a strong asset.

• Skills

You will bring expertise in the theory, algorithms, and modeling frameworks of mathematical optimization, with a research identity centered on advancing the methodological foundations of decision systems. You are able to make original contributions to optimization methods, whether in integer and stochastic programming, robust and distributionally robust optimization, or the principled integration of learning and optimization through frameworks such as predict-then-optimize, decision-focused learning, or reinforcement learning for sequential decision-making, and you are motivated by the challenge of building a unified methodological bridge between mathematical programming and modern data science. Specific experience in data-driven and learning-driven approaches to modeling and optimization will be considered as a strong asset.

You will be expected to become an active and contributing member of the research community of CORE and, more broadly, of LIDAM, enriching its methodological culture through contributions that advance the algorithmic and theoretical foundations of optimization and its integration with machine learning and AI.

You can communicate in French and English. If this is not the case, you undertake to acquire a command of these two languages within two years of taking up your position. Knowledge of other languages is an asset.

What we offer

Tenure after positive assessment of the probationary period - typically four years. This type of career entitles you to a public sector pension.

Appointment as lecturer or professor according to your previous academic experience, as determined by the Rectoral Council.

Teaching load capped at 90 hours for a full-time tenure-track position, and 150 hours once tenured.

An attractive and progressive salary according to seniority and the promotion process.

A start date of 1 September 2027 at the earliest.

An integrated leadership and management training programme, including a range of pedagogical, linguistic and other training courses.

Benefits including transport, family, culture, commercial, etc.

Official policy that supports equal opportunities and promotes diversity within academic and all other categories of staff.

Specific emphasis on a work-life balance.