Permanent Associate Professor position – Specialty : Data Science, Statistical Learning or Opti[...]

Organisation/Company: Ecole Nationale Supérieure des Mines de Saint Etienne

Research Field: Mathematics » Statistics

Researcher Profile: Recognised Researcher (R2)

Positions: Research Support Positions

Country: France

Application Deadline: 15 Apr 2025 - 00:00 (Africa/Abidjan)

Type of Contract: Permanent

Job Status: Full-time

Hours Per Week: 40

Offer Starting Date: 1 Sep 2025

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

Joining Mines Saint-Étienne means engaging in an institution where science and innovation build a more sustainable future. A school of excellence where everyone has the opportunity to reveal their full potential and contribute to meeting tomorrow's challenges.

Ranked among the best engineering schools in France and recognized worldwide, our school, a member of the Institut Mines-Télécom, trains tomorrow's talents while actively contributing to addressing major industrial, digital, and environmental challenges. With us, you join a community of 500 collaborators, 2500 students, and participate in an ambitious project: combining academic excellence, cutting-edge research, and positive societal impact.

The Institut Mines-Télécom brings together the major French engineering schools around major industrial, digital, energy, and ecological challenges. Together, we imagine and build a sustainable future by training the actors who will shape tomorrow's transitions.

What we expect from you

As Permanent Associate Professor position in Data Science, Statistical Learning, or Optimization, you are at the heart of our missions in education, research, and innovation, assigned to the Institut Henri Fayol and the Research Institute. Within this center, you combine scientific passion and societal impact.

The recruitment aims to strengthen Mines Saint-Étienne's skills in the field of data science to support decision-making for the industry of the future.

Under the responsibility of the head of the Department of Mathematics and Industrial Engineering (GMI), the objectives are:

1. Education: Design and deliver innovative courses in the fields of probability, statistics, data science, and applied mathematics, adapted to contemporary challenges, to train the leaders and engineers of tomorrow.
2. Research: Conduct high-impact research on the scientific and application challenges of data science and applied mathematics, recognized through scientific publications, and collaborate with the socio-economic world for innovative and sustainable solutions.
3. Innovation: Actively contribute to cross-disciplinary projects in a dynamic environment open to collaborations supported by public and private funds, in France and internationally.

Your ability to work in project mode and to bridge education, research, and practical application will be essential for success.

You hold a doctorate (or PhD) in computer science, applied mathematics or industrial engineering or equivalent and possess:

• Scientific skills in Data Science, Machine Learning or Optimization.
• Confirmed experience in teaching (second or third cycle).
• Proven expertise in scientific publishing and research validation.
• Mastery of English (level C1) and ideally, international experience.

Additional Information

We support each of our collaborators on the path to excellence, with the conviction that together, we can have a lasting and significant impact on our world.

Joining Mines Saint-Étienne offers the opportunity to find:

• A stimulating environment: State-of-the-art experimental facilities, a welcoming work environment, and a strong international network.
• Real impact: Contractual research projects amounting to €11M per year, predominantly with industrial partners.
• Unmatched quality of life: 49 days of leave and RTT, partial telecommuting, and a social barometer where 83% of employees praise the quality of life at work.

Let's build a more sustainable future through science, engineering, and meaningful projects.

Selection process: Auditions will be held in person on Thursday, June 5, 2025.

Additional comments: Positions offered in the recruitment are open to everyone, with adjustments available upon request for candidates with disabilities.