Assistant/associate Professor in Statistical Learning Theory

**Who are we?**

Télécom Paris, a school of the IMT (Institut Mines-Télécom) and a founding member of the Institut Polytechnique de Paris, is one of the top 5 French general engineering schools.

The guiding mission of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society and economy that respect people and their environment.

**We are looking for an Associate Professor in Statistical Learning Theory** to join**Image, Data, Signal (IDS).

**Hi Paris center and Cluster IA 2030**

The person recruited will benefit from a starting grant to finance his or her research activities.

**Your main tasks will be to**:

- Participate in the design and implementation of teaching programs in your scientific field.
- Conduct research in your scientific field.
- Participate in the development of partnerships, collaborations and contractual relationships in your scientific field.

To succeed in this role, you have a PhD and you are fluent in English.

With recent advances in generative AI and its intensive use today, new structured data (e.g. texts, images, videos, graphs, code) are being mass-produced by models of great complexity. Advances in the ability to generate random variables using pseudo-probabilistic techniques transformed numerical and statistical methods in the last century, with the development of numerous variants of Monte Carlo algorithms for approximation, optimization, simulation of (possibly extreme) random phenomena, denoising or inference. Similarly, the complex information generated by (large) AI models is already being used in practice for a variety of purposes (e.g. data augmentation, conversational agents, deepfakes). If it is to make a real contribution to improving systems with guarantees, the use of synthetic data generated by AI “big models” calls for the development of new analyses, theoretical notions and algorithmic methods, enabling us to:

- understand and control the impact of biases in generative models on performance and generalizability.
- generate structured data (e.g. with values in non-Euclidean spaces) from specifications (properties to be satisfied) reliably and robustly.
- generate data by limiting supervision and exploiting knowledge and properties (semantic, physical, mathematical).

**Why join us?**

You'll be working in a fast-growing, pleasant, green and accessible environment (particularly for people with disabilities) just 20 km from Paris (RER B and C, close to major roads, shared shuttle service from Porte d'Orléans). You will benefit from:

- 49 days' annual leave (CA + RTT)
- Flexible working hours (depending on the department's activity)
- Teleworking 1 to 3 days/week possible
- 75% reimbursement of public transport season ticket
- Proximity to numerous sports facilities, concierge service, underground car park, in-house catering, etc.
- Staff association at school and department level
- Good to know: our social security contributions are lower than in the private sector

**How to apply**

To apply, please send the following documents:

- a full, detailed curriculum vitae (max 2 pages),
- a covering letter,
- an activity report (table of activities) on research (supervision, problems, etc.), teaching

teaching (title, volume, etc.) and collective tasks (max 4 pages)
- a teaching description (summary of activities, a brief plan for integration into university teaching and continuing education)

teaching at university level and continuing education) (max 4 pages)
- a research description (summary and results of activities, a brief plan for integration into research)

research) (max 4 pages)
- a copy of the 3 best publications, list of publications
- the names and addresses of two qualified personalities who can give an informed opinion on the

**The selection process takes place in 4 steps**:

- Pre-interview with Human Resources
- Final interview with the Director of Télécom Paris

**Additional information**:
Application deadline**:September 15, 2025**
Type of contract : 3 years fixed term contract
Full job description here
- Our recruitment is based on skills, without distinction of origin, age, gender identity, or sexual orientation, and all our positions are open to individuals with disabilities._