Lecturer: Computational Methods for Artificial Intelligence

Quantum Flagship; Palaiseau; On-site; EUR 40,000 - 55,000; Full time

Job summary

A leading technology university in France seeks a Lecturer in Computational Methods for Artificial Intelligence. This role involves developing research in machine learning and quantum computing, teaching courses, and supervising student projects. The ideal candidate holds a Ph.D. in applied mathematics, has teaching experience, and is fluent in French and English. The position offers a 3-year contract with responsibilities in research and interdisciplinary collaboration. Applications must be submitted by April 26, 2026.

Qualifications

• PhD required, focusing on computational methods.
• Prior teaching experience is preferred.
• International experience appreciated.

Responsibilities

• Develop contributions in machine learning and quantum computing.
• Offer courses at Telecom SudParis and supervise students.
• Participate in interdisciplinary collaborations.

Skills

Fluency in French

Fluency in English

Teaching experience

Publications in international journals

International research experience

Education

Ph.D. in applied mathematics or a related field

Job description

Lecturer: Computational Methods for Artificial Intelligence

Telecom SudParis is recruiting a Lecturer in Computational Methods for Artificial Intelligence (Assistant Professor / Tenure Track, 3-year fixed-term contract)

Recruitment Department of Telecom SudParis: Communication, Imaging and Information Theory (CITI, https://www.telecom-sudparis.eu/citi/).

Laboratory: SAMOVAR – SOP or ISTEC Team

IP Paris Interdisciplinary Center: Hi! PARIS

Contacts: For further information, candidates are invited to contact Randal Douc ([e-mail]), Director of the CITI Department or Yohan Petetin ([e-mail]), Head of the Development of the AI Axis of the CITI Department.

The candidates' research project will focus on advanced computational methods for Artificial Intelligence. The position aims to strengthen methodological and algorithmic work on one or more of the following axes:

• Optimization and learning on very large models and datasets
• Improving the performance of generative models
• Exploring hybrid approaches combining classical and quantum learning

The research will be part of the AI 2030 Cluster of the Institut Polytechnique de Paris, in line with the AI for Science and Engineering and Foundation Models and Generative AI axes. The recruited candidate will develop contributions at the interface between machine learning, optimization and quantum computing, while fostering interdisciplinary collaborations.

In connection with their research activities, the recruit will be able to offer courses in the third year at Telecom SudParis as well as in Master 2 at IP Paris. She will also participate in the supervision of projects of engineering students, Master's students and doctoral students.

Requirements and expectations

• Ph.D. in applied mathematics or a related field;
• Publications in international journals;
• First experience in teaching;
• First post-doctoral experience in research appreciated;
• Fluency in French and English;
• International experience appreciated.

How to apply

Applications should be sent to this address:

The application must include in a single file a cover letter, a detailed CV, a project for integration into Telecom SudParis in research and teaching, and the contact details of two reference persons. Additional elements such as teaching statements, letters of support, distinctions, etc. are left to the discretion of the candidate.

Deadline for applications: April 26, 2026

Expected date for preselection: May 12, 2026

Scheduled date for hearing: May 26, 2026

Telecom SudParis