Assistant/Associate Professor in Quantum Machine Learning – Tenure Track

About the role

Telecom Paris seeks an Assistant/Associate Professor to join the Signal, Statistics, and Machine Learning team in the Image, Data, and Signal department. The position holds a Hi! PARIS Chair with a recruitment package of approximately €300k to support interdisciplinary research in quantum statistical learning.

Key responsibilities

• Conduct original research in quantum machine learning, statistical learning theory, and algorithms.
• Develop partnerships and collaborations with academic and industrial partners.
• Participate in the design and delivery of teaching activities with a reduced teaching load.

Required profile

• Research focus on quantum AI and statistical inference for quantum information.
• Experience designing learning algorithms that exploit quantum properties such as superposition and entanglement.
• Proficiency in English.

Required skills

• Quantum machine‑learning theory and algorithms
• High‑dimensional statistics, structured/functional data analysis
• Simulation, stochastic approximation and optimization techniques
• Incremental, sequential, active and reinforcement learning methods

What we offer

• Hybrid work mode (onsite and remote)
• Indicative salary €42,000–€52,000 gross per year
• 49 days of paid leave/RTT, mutual insurance and provident fund
• Access to renowned laboratories (LTCI, i3, CREST) and cutting‑edge equipment
• Integration into Paris‑Saclay innovation hub and strong industrial partnerships