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A leading engineering school in Île-de-France seeks an Associate Professor in Statistical Learning Theory for a 3-year contract. The candidate will design teaching programs, conduct research, and foster partnerships within a supportive environment. Applicants must hold a PhD and be fluent in English. The position offers competitive benefits, including social security advantages and various amenities.
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 an Associate Professor in Statistical Learning Theory to join the Image, Data, Signal (IDS) department.
The Information Processing and Communication Laboratory (LTCI) is Telecom Paris’ in-house research laboratory. Since January 2017, it has continued the work previously carried out by the CNRS joint research unit of the same name. The LTCI was created in 1982 and is known for its extensive coverage of topics in the field of information and communication technologies. The LTCI’s core subject areas include computer science, networks, data science, signal and image processing, and digital communications. The laboratory is also active in systems engineering and applied mathematics. The open position aligns with LTCI and Télécom Paris' research strategy around Data Science, Machine Learning, and Artificial Intelligence. The position will be hosted by the Statistics, Signal Processing, and Machine Learning (S²A) team within the Images, Data & Signals department. Research at S²A is characterized by a fruitful interplay between statistics, probabilistic modeling, machine learning, signal processing, audio data analysis, and natural language processing. The associate professor will contribute to the dynamic ecosystem of the Institut Polytechnique de Paris, fostering collaborations between academic teams and industry projects.
Hi!Paris center and Cluster IA 2030
This recruitment benefits from funding through Hi!Paris (https://www.hi-paris.fr), the interdisciplinary center on Data Analytics and AI for Science, Business, and Society, created by Institut Polytechnique de Paris (IP Paris) and HEC Paris, with participation from Inria and financial backing from France 2030 IA Cluster. The center is at the forefront of interdisciplinary research in AI and Data Science, providing seminars, workshops, summer schools, and funding opportunities. In 2024, it was designated as an “AI Cluster” by the French government. The recruited candidate will receive a starting grant to support their research activities.
Your main tasks will be to :
Candidates should hold a PhD and be fluent in English.
Recent advances in generative AI and complex data production (texts, images, videos, graphs, code) necessitate new theoretical and algorithmic developments to understand biases, generate structured data reliably, and exploit knowledge with minimal supervision. The role involves developing analyses, notions, and methods to improve system guarantees and performance in this context.
The position offers a pleasant environment located 20 km from Paris, accessible by RER B and C, with various amenities including flexible working hours, teleworking options, public transport reimbursement, sports facilities, and more. Benefits include 49 days of leave, social security advantages, and support services.
How to apply
Applicants should submit:
The selection process involves four steps: pre-selection, HR interview, committee interview, and final interview with the Director of Télécom Paris. Our recruitment is based on skills and is inclusive of all backgrounds and abilities.
Title
Assistant/Associate Professor in Statistical Learning Theory - 3 years contract
Published
2025-07-02
Application deadline: 2025-09-15 23:59 (Europe/Paris)