Post-Doctoral Researcher in Optimization of Distributed Detection via Reinforcement Learning - Fixed Tems Contract 12 months

ABOUT TELECOM SUDPARIS

Telecom SudParis is a public graduate school for engineering, which has been recognized on the highest level in the domain of digital technology. The quality of its courses is founded on the scientific excellence of its faculty and on teaching techniques that emphasize project management, innovation and intercultural understanding. Telecom SudParis is part of the Institut Mines-Telecom, the number one group of engineering schools in France, under the supervision of the Minister for Industry. Telecom SudParis with Ecole Polytechnique, ENSTA Paris, ENSAE Paris, ENPC and Telecom Paris are co-founders of the Institut Polytechnique de Paris, an institute of Science and Technology with an international vocation. Vidéo présentation de Télécom SudParis

ABOUT INSTITUT MINES-TELECOM :

The Institut Mines-Télécom (IMT) is a public institution dedicated to higher education and research for innovation in the fields of engineering and digital technology. Always attentive to the needs of the business world, the IMT combines strong academic and scientific legitimacy, close ties with companies and a unique positioning on the major transformations of the 21st century: digital, energy, industrial and educational. Its activities are carried out by the Mines and Télécom Grandes Ecoles under the authority of the Minister for Industry and Electronic Communications, two subsidiaries and associated partners or partners under agreement. ITM is a founding member of the Alliance Industrie du Futur. It has been awarded the Carnot label for the quality of its research partnerships.
Institut Mines-Télécom video presentation

MISSIONS:

1. Design and optimization of distributed hypothesis testing systems

Characterize and optimize multi-hop, multi-terminal distributed hypothesis testing architectures, taking into account strict communication cost constraints, in order to ensure efficient and scalable detection in realistic network scenarios.

2. Bridging theoretical limits and practical implementations

Translate performance limits from information theory and optimal communication strategies into implementable distributed detection schemes that balance detection accuracy, robustness, and efficiency.

3. Development of practical solutions via reinforcement learning

Design and implement reinforcement learning algorithms to obtain adaptive, flexible, and deployable detection schemes for constrained network environments.

ACTIVITIES:

1. Conduct research in optimization and learning for distributed detection

2. Disseminate and valorize scientific results through publications in international journals and conferences

3. Participate in meetings and seminars within the framework of the PEPR Réseaux du Futur (NF-Fonds) project, in which this postdoctoral project is included

4. Contribute to the scientific visibility of the department, the school, and the Mines-Télécom institution

Level of training and / or experience required:

• PhD in science or engineering in a relevant field, such as: Optimization for communication systems, distributed systems or future networks, Machine learning / reinforcement learning.

• Experience in designing distributed systems, numerical simulation, or algorithm development for learning methods is highly desirable.

Essential skills, knowledge and experience:

·        Proficiency in written and spoken English

·        Strong scientific background in: optimization, statistical learning and machine learning (including deep learning), reinforcement learning, wireless communications

·        Knowledge of software development tools and environments: Python, PyTorch

·        Software development skills: Linux, Git

·        Expertise in algorithm design and analysis

·        Excellent scientific communication skills

Advantageous skills, knowledge and experience:

·        Experience in simulation tool development

·        Broad scientific knowledge: probability, statistics, stochastic processes, information theory, communication theory

·        Knowledge in Artificial Intelligence (AI)

Abilities and skills:

·        Ability to work in teams within national or international research projects, collaborating with academic and industrial partners

·        Strong interpersonal skills

·        Ability to synthesize and write reports or publications

·        Leadership and organizational skills

·        Teamwork orientation

·        Responsiveness, initiative, and rigor

·        Curiosity and interest in new technologies

·        Autonomy and self-motivation

APPLICATION PROCEDURE

• Application deadline: 22th January, 2026

• Nature of the contract: Fixed Terms Contract 12 months

• Category and profession of the position: II - P, Post-Doctoral

• To apply, please send us a CV, a cover letter

• Location of the position : Evry-Courcouronnes (France)

• The positions offered for recruitment are open to all with, on request, accommodations for candidates with disabilities

• Working conditions: Teleworking possible, restaurant and cafeteria on site, accessibility by public transport (with employer's participation) or close to main roads, staff association and sports association on campus

• Contact person:

  • Mireille Sarkiss, mireille.sarkiss@telecom-sudparis.eu