A full-time position in Applied Mathematics and Statistics at Associate / Full professor Level or Professor of Practice - Teaching-Oriented Profile

galileo; Lyon; Sur place; EUR 90 000 - 150 000; Plein temps

Avantages offerts par ce poste

Relocation support

Résumé du poste

emlyon business school invites applications for a full-time faculty position in Applied Mathematics and Statistics at Associate/Full Professor level, teaching track, or Professor of Practice, to begin in September 2027. The role emphasizes action learning, experiential education, and real-world project-based teaching, with potential involvement in the QUANT Research Centre.

Responsibilities include undergraduate and graduate teaching on the Lyon campus, with some sessions on other emlyon

Qualifications

• Ph.D. in Applied Mathematics or Statistics or related discipline.
• Experience in project-based pedagogy, live business cases, corporate challenges, or learning-by-doing models.
• Strong connections with business or institutional partners.
• Ability to design and coordinate courses with a high level of engagement and applied learning.
• Willingness to contribute to the strategic positioning of action learning within the school.
• Still contributing with intellectual contributions and academic publications.

Responsabilités

• The development and delivery of innovative, action-based learning experiences, closely tied to the professional ecosystem (corporates, startups, NGOs, etc.).
• And (if applicable) cutting-edge research in their area of expertise.
• Teaching undergraduate, graduate, and master's level programs with courses primarily on the Lyon campus, delivered in French and English to an international cohort.

Connaissances

Applied Mathematics

Statistics

Pedagogical profile

Action learning

Experiential education

Real-world project-based teaching

Academic publications

Course design

Formation

Ph.D. in Applied Mathematics or Statistics

Master's degree (for Professor of Practice)

Description du poste

FACULTY POSITION

emlyon business schoolinvites applications for afull-time faculty positionin AppliedMathematics and Statistics, open at the Associate / Full Professor level, Teaching track, or as a Professor of Practice to begin inSeptember 2027.

We are looking to recruiteither:

• A candidate with astrong pedagogical profile, experienced inaction learning,experiential education, andreal-world project-based teaching;
• Still with an academic research complementary profile, capable of publishing in peer-review academic journals and contributing to the school’s international research visibility.

Or

• A full teaching dedicated professor candidate with astrong pedagogical profile, experienced inaction learning,experiential education, andreal-world project-based teaching;

This position is part of emlyon’s broader strategic ambition to combineacademic excellencewithimpactful, hands-on learningthat is deeply connected to the business world and societal challenges.

YOUR ROLE AT EMLYON

The selected candidate will join the Department (*) ofODAIand the possibility for joining (only for the associate / Full professor status) theQUANT Research Centre(https://aim.em-lyon.com/quant/), contributing to:

• The development and delivery ofinnovative, action-based learning experiences, closely tied to the professional ecosystem (corporates, startups, NGOs, etc.);
• And (if applicable) cutting-edge research in their area of expertise;

Teaching responsibilities include undergraduate (BBA), graduate (Programme Grande École), and master's level programs. Most courses will be taught on theLyon campus, with possible sessions on other emlyon campuses in France or internationally.
The successful candidate will contribute to various courses at undergraduate and graduate programs. Teaching is delivered in French and English to a diverse international, multicultural student cohort, depending on the program.

The successful candidate will cover multiple aspects of mathematics and statistics needed for business to develop decisions aid-techniques, including data-driven decision processes, that could cover topics such as :

• Any fundamentals of Mathematics and Statistics at Management level,
• Mathematics and Statistics for data science,
• Mathematics and Statistics for modelisation and optimization in OM, and/or quantitative Finance fields for ex,
• Mathematics and Statistics to help developing basic of analytical approach.

CANDIDATE PROFILES – We Are Open to Different Strengths

We are open todiverse academic trajectories, and encourage applications from candidates who correspond to one of the following:

1. Teaching-Oriented Profile

• Ph.D. inApplied Mathematics or Statisticsor any related discipline
• Experience inproject-based pedagogy, live business cases, corporate challenges, or learning‑by‑doing models
• Strong connections with business or institutional partners
• Ability to design and coordinate courses with a high level of engagement and applied learning
• Willingness to contribute to the strategic positioning of action learning within the school
• Still contributing with intellectual contributions and academic publications.

2. Professor of Practice

• No PhD required, but a fully teaching‑oriented profile and at least a master level
• Experience inproject-based pedagogy, live business cases, corporate challenges, or learning‑by‑doing models
• Strong connections with business or institutional partners
• Ability to design and coordinate courses with a high level of engagement and applied learning

In French academic system, status as “PRAG” is for example a good fit here as a professor of Practice.

Additional Requirements

• Desire to work in a collaborative, international environment
• Capacity for institutional service (program management, curriculum design, external representation)
• Fluency in English required; knowledge of French is a plus but not mandatory
• Willingness to relocate toLyon or surrounding area(relocation support provided)

The candidate will be expected to contribute to and will be regularly evaluated based on three areas of activities: (1) research and intellectual contributions performance (only for associate /