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An academic in Mathematics/ Statistics/ Data Science applied to Economics
UCLouvain —Louvain-la-Neuve
- Temps plein
- Doctorat
- Anglais
- Recherche
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An academic in Mathematics/ Statistics/ Data Science applied to Economics

UCLouvain -
Louvain-la-Neuve

Soumettre votre candidature

Détails de l'emploi

Temps plein
Il y a 1 jour

Qualifications

Français
Doctorat
Management
Anglais
Recherche
Machine learning
Recrutement
IT
Data science
Leadership

Description complète du poste

An academic in Mathematics/ Statistics/ Data Science applied to Economics

Reference: 38682 / ESPB 002 B / 2027

UCLouvain seeks to recruit

A full-time academic position in Mathematics/ Statistics/ Data Science applied to Economics

Main campus: Saint-Louis - Bruxelles

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.

The University's staff policy is based on five pairs of values which are fundamental pillars of the way the University operates, works and lives together: https://uclouvain.be/fr/emploi/politique-personnel.html

The Saint-Louis Campus – Brussels (until recently known as the Université Saint-Louis - Brussels) is characterised by its specialisation in the humanities, its pioneering experience with staggered timetables, successful initiatives promoting multilingualism over the past 30 years, and the specialisation and influence of its centres and research institute, IRIS-L, in a number of specialist fields. This approach is part of a commitment to promoting interdisciplinarity in relevant fields, a culture of community and human relations across all the site’s activities, and a resolute openness to the economic, social, cultural and religious diversity that characterises the Brussels Capital Region, which serves as both the primary seat of the European Union’s institutions and the capital of the State.

Post description

Within the Faculty of Faculté des sciences économiques, sociales, politiques et de la communication Saint-Louis and the Centre for Applied Economics (CAPE) at the Institut de recherche interdisciplinaire Saint-Louis, Social Sciences and Humanities Sector, this position will include the following teaching, research and community service duties:

Teaching

You will mainly teach in the field of quantitative methods (particularly mathematics) on the Bachelor programmes in Economics and Management and in Management Engineering.

Research

You will develop your research activities within the Centre for Applied Economics (CAPE, https://www.uclouvain.be/fr/instituts-recherche/iris/centre-d-analyse-des-politiques-economiques). During your career, you will supervise PhD theses and seek external funding, in particular from the FRS-FNRS, the Federal Science Policy Office, the Brussels-Capital Region and the European Union, to carry out new projects.

In addition …

Once tenured, you 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.

You 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 Science or Engineering and Technology. The subject of your thesis falls within the fields of applied mathematics and/or statistics and/or data science.

Experience

You have proven experience in university teaching, ideally supported by formal evaluations.

Skills

Teaching skills

You possess excellent teaching skills. You have significant experience of public speaking. In this regard, experience of university teaching is an important asset. Ideally, you will have gained this experience with a variety of audiences (such as small and large groups of students).

In your teaching, you will pay particular attention to the diversity of the student body on entry to university and the challenges this poses for student success, and you will use teaching methods that take this into account. You will make explicit and regular links between the mathematics (or quantitative methods) taught and their application in the fields of economics and management.

In your application, you should outline a high-quality and innovative teaching plan for teaching quantitative methods to undergraduate students in economics and management.

You will have the opportunity to demonstrate your teaching ability during a maths lesson delivered in front of the recruitment panel.

Research Skills

You have extensive experience in working with large datasets used in economics and management, their statistical analysis and processing, including through machine learning.

You have significant scientific publications in mathematics, statistics, intelligent systems or related fields in peer-reviewed international journals and/or in monographs and edited volumes. Publications in the fields of economics or management are essential.

The potential for links between your research topics and the research projects being carried out at the Centre for Applied Economics (CAPE, https://uclouvain.be/fr/instituts-recherche/iris/centre-d-analyse-des-politiques-economiques) is also essential. Research at CAPE has a significant collaborative dimension. A sense of team spirit and a willingness to contribute to the common good are therefore important qualities.

The following are also considered assets:

Research stays at institutions other than the one that awarded the PhD
Leadership skills
Experience in securing external funding.

Language Skills
You must have a perfect command (C2 level) of French from the start of your employment. If French is not your mother tong, your proficiency is demonstrated by at least two years’ university study in French or it is certified by an external body.
You must also have a very good command of English

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.

Practical Information

Application deadline: 5 November 2026 at noon (UTC+1 Time Zone)

Starting date: September 1st 2027

Location:

Social Sciences and Humanities Sector
(ESPB) (https://uclouvain.be/en/faculties/ESPB)
(IRIS) (https://uclouvain.be/en/research-institutes/IRIS)

Need more information?

Questions about this position:

Prof. Abraham Franssen, Dean ESPB – [email protected]
Prof. Isabelle Ost, Président IRIS – [email protected]

Questions about the procedure:
Madam Céline Brauns, Rector’s Office, [email protected]

Questions about online application:
Madam Andreea Chiriac, Rector’s Office, [email protected]

Interested?

Applications must be submitted exclusively via UCLouvain’s online recruitment system; submissions through other channels will not be considered.

Full details regarding the application procedure are available at: https://www.uclouvain.be/en/careers/submit-your-application

Applications must include one single PDF file containing the following documents:

a cover letter (to be included in the single PDF as well as in your candidate profile);
a detailed and up‑to‑date curriculum vitae (to be included in the single PDF as well as in your candidate profile);
a copy of the official doctoral degree certificate;
a complete publication list, including a summary of three recent and significant publications;
a teaching statement;
a research statement presenting the proposed research programme for the next five years.

Shortlisted candidates invited for an interview will subsequently be asked to provide:

a PhD project proposal, with a view to the possible recruitment of a doctoral candidate during the first year of appointment;
three to five letters of reference, submitted directly by referees according to the instructions provided by the University.

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An academic in Mathematics/ Statistics/ Data Science applied to Economics

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An academic in Mathematics/ Statistics/ Data Science applied to Economics

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What we offer

Practical Information

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