Assistant/Associate Professor in AI for networks - permanent contract

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 a teacher-researcher in AI for networks, the position is to be filled in the Computer Science and Networks department (INFRES).

There is increasing interest in projects related to AI for next-generation networks and the integration of data science techniques within the supporting infrastructure. The market for advanced networks (5G, 6G, and beyond) is expected to exceed 90 billion\$ in the next decade, with AI being the key driver of this transformation. In this context, MLOps engineers with expertise in both AI and networking will be crucial.

As networks evolve, AI is no longer a centralized layer - it is being embedded and distributed across the network fabric. This has led to the emergence of two distinct but interconnected paradigms: AI for Networks (AI4NET), where AI optimizes and manages network operations, and Networks for AI (NET4AI), where networks support distributed AI workloads, including training and inference. Wireless networks, in particular, present unique challenges—including variable latency, constrained edge computing resources, and the need for efficient spectrum utilization - which require tailored AI-driven solutions. At the same time, virtualized and cloud-native networks introduce their own complexities: containerized network functions (CNFs), and short-lived service chains must operate under stringent latency, reliability, and scalability requirements. Integrating AI into these environments involves balancing competing demands for performance, isolation, and energy efficiency, making the design of robust, adaptive AI solutions a critical priority.

It is essential to explore the limits of AI computation in converged cloud/network systems, and develop practical solutions that balance performance, energy use, and QoS. Addressing these challenges requires expertise in AI optimization, distributed systems, and energy management.

Your main tasks will be to:

- Participate in the design and implementation of courses in the field of AI applied to Networks
- Conduct research in your scientific field
- Participate in and contribute to the scientific activities of the Group in which you works.
- Participate in the development of partnerships, collaborations and contractual relations in the field of AI applied to Networks.

To be successful in this role, you must have a PhD and comprehensive general IT skills.

The candidate must have a solid understanding of networks, including physical and virtualized systems (in cloud environments). A deep understanding of network architectural concepts (such as TCP/IP networks) and the cloud is required. In addition, the candidate must have a sound knowledge of artificial intelligence concepts, including AI workflows, data acquisition and model development. Experience of integrating AI into network systems and optimizing network performance using AI methods is considered an advantage.
You must also master AI workflow concepts (data collection, training, validation, deployment) in networked system environments (cloud, edge, core devices, etc.), have knowledge of large digital infrastructures and their management/deployment tools (cloudified systems, CI/CD, DevOps), master programming in C, C++ and/or Python. Fluency in English is mandatory.

Is a plus if you have :
- Post-doctoral or international experience in an academic or industrial laboratory appreciated
- Teaching experience
- Experience in DevOps and MLOps pipelines
- Knowledge of energy efficiency issues in high-performance systems.
- Experience in network measurements and performance evaluation (traffic generation, equipment testing, etc.).

If you're passionate about artificial intelligence, we'd love to hear from you.

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

- a detailed CV (max 2 pages)
- a cover letter
- an activity report (table of activities) in research (supervision, problem,...), teaching (title, volume,...) and collective tasks (max 4 pages)
- teaching description (summary of activities, university-level teaching and continuing education project) (max 4 pages)
- research description (summary and results of activities, research project) (max 4 pages)
- copy of the 3 best publications, list of publications
- names and email addresses of two qualified persons who can give an informed opinion on the application

 The selection process takes place in 4 steps:
- Pre-selection of candidates by the team
- Pre-interview with Human Resources
- Hearing by the recruitment committee and ranking of successful candidates
- Final interview with the Director of Télécom Paris

Additional information :
Application deadline: 12 september 2025
Type of contract: Permanent
Contact :Leonardo LINGUAGLOSSA , linguaglossa@telecom-paris.fr ,Jean-Louis ROUGIER jean-louis.rougier@telecom-paris.fr
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.