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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.

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.

MISSIONS :

In the field of networks and cloud :

• Participate in the design, coordination, and implementation of teaching at Télécom SudParis in networks and cloud within the school’s various programs, the continuing education programs of the Institut Mines-Télécom, and co-accredited programs with the Institut Polytechnique de Paris.
• Conduct research, innovation, and develop contractual relationships in the field of AIOps (Artificial Intelligence for IT Operations), applied to the management and control of digital assets (physical and virtual digital resources, future networks, deployment and monitoring).
• Develop partnerships, collaborations, and contractual relations in the field.
• Be an active member of the SAMOVAR laboratory and the NeSS team.

ACTIVITIES :

Teaching activities :

• Deliver and organize lectures and tutorials on networks, virtualization, and machine learning for networks, for core and specialized courses, in the engineering program for both student status and apprentice status.
• Participate in continuing education.
• Supervise and tutor students : student projects, internships, thesis defenses, etc.
• Participate in selection interview panels for candidates (engineering program, specialized master’s) to help recruit new students.

Research activities :

• Lead and conduct basic and applied research in AIOps (Artificial Intelligence for IT Operations), applied to the management and control of digital assets (physical and virtual digital resources, future networks, deployment and monitoring), addressing related properties such as performance evaluation and management, system and network resilience, safety and security, and digital frugality. This includes leading industrial or collaborative projects, as well as supervising PhD students and platform engineers.
• Contribute to the development of the high-speed experimental platform hosted at Télécom SudParis.
• Maintain an academic publication record compatible with integration into the SAMOVAR laboratory within the NeSS team.
• Initiate and participate in projects involving external partners of the Institut Mines-Télécom, academia, or industry, especially within national or European funding frameworks.

Job requirements

Level of training and / or experience required :

• PhD obtained or to be obtained (defense scheduled before December 31, 2025).
• Significant teaching and research experience in an academic or industrial lab.
• Experience in at least two different research teams, demonstrated through publications.

Essential skills, knowledge and experience :

• Relevant skills should cover topics such as :
• Networks
• Machine Learning for networks and AIOps
• Significant publications, including international ones, compatible with integration into the SAMOVAR laboratory.
• Teaching experience in higher education.
• Experience in executing European or national contracts.
• Proficiency in French and professional English (written / oral).
• Knowledge of scientific challenges and laboratories in the field at national and international levels.
• Participation in scientific community activities (program committees, event organization, etc.).

Advantageous skills, knowledge and experience :

• Minimum two years of international experience (PhD, post-doc, or equivalent).
• At least two years of experience in teaching and research.
• Knowledge of information and communication technologies.

Abilities and skills :

• Organizational and leadership skills.
• Strong writing and summarizing skills.
• Good interpersonal and pedagogical skills.
• Responsiveness, initiative, and rigor.
• Ability to work in a team within national or international research contracts, in collaboration with academic and industrial partners.
• Ability to negotiate and coordinate national, European, or industrial contracts.

APPLICATION PROCEDURE