ATER Contractual Lecturer in Machine Learning for Science – ESPCI
Missions
Teaching
The person recruited will be part of the ESPCI Paris computer science and digital teaching team headed by Alexandre Allauzen. He/she will take part in practical work on programming in Python, data analysis, deep learning, numerical methods and simulation, applied statistics, programmed in the 1st and 2nd years of the engineering cycle.
Teaching at the ESPCI Paris is a collective activity and requires involvement both upstream and downstream of the courses in order to propose subjects adapted to the specific characteristics of the school, a high level of student supervision, and to propose changes to the courses if necessary.
Research
In his/her research, the person recruited will help to develop the ‘Machine Learning for Science’ theme in the areas developed by the ESPCI Paris research teams.
The links between machine learning and science today go far beyond the simple application of machine learning recipes to new data. Whether in Chemistry, Physics, Statistical Physics or Biology, the interactions are bijective in order to deal with hitherto unseen situations, which are linked to the data (complexity, rarity, noise, cost, etc.), the experimental set-ups and the predictive capacities of the models.
Depending on his/her specialities, the person recruited will be able to work in different laboratories, such as Gulliver, Langevin, Chimie Biologie Innovation (CBI), Chimie Moléculaire, Macromoléculaire, et Matériaux (C3M).
If the candidate’s profile is suitable, it will be possible for him/her to be attached to the applied statistics team at ESPCI Paris and the MILES team at LAMSADE.
In all cases, the research project will be carried out in close collaboration with an ESPCI Paris research team, with possible collaborations within PSL University.
Profile required
The candidate must hold a PhD at the time of taking up the post.
Teaching experience will be an advantage. At the very least, the candidate should have a genuine interest in teaching activities.
Contacts
For all questions relating to teaching and future research activities : alexandre.allauzen@espci.fr
Application
DEADLINE FOR REPLY TO APPLICANTS: 30 June 2025
Applications must include :
• A Curriculum Vitae with the applicant’s full contact details and list of publications
• A summary of scientific and teaching activities (with the contact details of two referees)
• A scientific and integration project specifying the themes developed and the host laboratory
• A copy of the doctoral diploma
Applications must be sent by e-mail as a single attachment, in PDF format only, to the following address: recrutement@espci.fr with a copy to Head of teaching : alexandre.allauzen@espci.fr
