The posting
Who we are ?
Télécom Paris, part of the IMT (Institut Mines-Télécom) and a founding member of the Institut Polytechnique de Paris, is one of France's top 6 general engineering schools.
The mainspring 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.
Modern distributed systems are increasingly complex, with multiple interconnected components, services, and autonomous agents interacting in dynamic environments. Ensuring their cybersecurity requires analysing potential attacks, understanding the strategies available to attackers and defenders, and verifying that critical security properties are preserved. Formal verification provides rigorous methods for addressing these challenges, allowing engineers to reason about system behaviours and establish mathematical guarantees. However, applying these techniques to realistic systems remains challenging. Verification problems can involve large state spaces and complex strategic interactions, while constructing formal models and specifying security properties often requires specialised expertise.
The VITAMIN-C (VerIficaTion of A MultI-ageNt system for Cybersecurity) project aims to address these challenges by combining formal verification with artificial intelligence. Building on VITAMIN, an existing modular model-checking platform for multi-agent systems, the project develops methods and tools for analysing cybersecurity properties in distributed and autonomous systems. Attackers and defenders are represented as agents with specific capabilities, objectives, and available actions. Their interactions are analysed using attack graphs, temporal and strategic logics, and model-checking techniques. The project also investigates how AI can improve the efficiency and accessibility of these verification processes.
A central objective of VITAMIN-C is to integrate AI techniques into the verification workflow. On the computational side, AI models will be investigated to guide the exploration of large state spaces and prioritise promising verification strategies. By learning from previously verified models and their associated results, these components can help identify relevant search directions and reduce the computational effort required by verification algorithms. On the usability side, the project explores AI-assisted interfaces that support engineers in constructing formal models and specifying security properties. These interfaces may exploit natural-language processing and large language models to interpret engineering descriptions, suggest formal representations, and assist users throughout the verification process. In both cases, the correctness of verification results remains the responsibility of the underlying formal methods, which validate the outcomes produced or suggested by AI components.
Within this context, the R&D engineer will contribute to the design, implementation, and evaluation of AI techniques for VITAMIN-C. The work will focus on developing AI components for verification guidance, investigating natural-language and LLM-based assistance for formal modelling, and integrating these capabilities into the existing platform. The engineer will also participate in the preparation of training and evaluation datasets, the development of experimental benchmarks, and the assessment of the proposed approaches in terms of effectiveness, computational efficiency, and reliability. The overall objective is to make formal verification more scalable and accessible while preserving the rigorous guarantees provided by the verification framework.
Your main responsibilities will include :
- Carry out R&D work in artificial intelligence for formal verification
- Contribute to the research profile of Télécom Paris and Institut Mines-Télécom
The candidate must have a solid understanding of artificial intelligence, Python programming, data processing and analysis, and software engineering. They must also be fluent in English and able to develop, train, evaluate, test and document AI components within a collaborative environment.
Experience in deep learning, natural language processing (NLP/LLM), graph learning, learning-guided search or the deployment of machine learning models would be an advantage. An interest in formal verification, cybersecurity, trustworthy AI, Docker and teaching activities would also be appreciated.
The role also requires strong organisational, analytical and problem-solving skills, as well as a good team spirit. The candidate must be able to communicate clearly, explain technical concepts in layman’s terms, draft documentation and contribute to teaching activities.
Required qualifications and experience : the candidate must hold a five-year post-secondary qualification (Bac+5) or equivalent. Applications from candidates with a four-year post-secondary qualification (Bac+4) and at least four years’ professional experience, a three-year post-secondary qualification (Bac+3) and at least six years’ experience, or a two-year post-secondary qualification (Bac+2) and at least ten years’ experience will also be considered.
Why join us? You'll be working in a fast-growing, pleasant, green and accessible environment (especially for people with disabilities) just 20 km from Paris (RER B and C suburban train lines, close to major roads). You will benefit from :
- 49 days annual leave (CA + RTT)
- flexible working hours (depending on department activity)
- telecommuting 1 to 3 days/week possible
- 75% public transport pass reimbursement
- Proximity to numerous sports facilities, concierge service, underground parking, in-house catering, etc.
- Good to know: our social security contributions are lower than in the private sector
Remuneration details:
Indicative remuneration range (excluding the variable annual bonus): €33,614 – €43,000 gross per annum, depending on profile and experience, as defined by our legal framework. Please note: our social security contributions are lower than in the private sector.
Other information : Application deadline: 03/12/2026 Job type : 12 months contract 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.
