Ingénieur.e contractuel pour le projet ERC InfantSimulator

ehess; Paris; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A leading research institution in France is seeking an engineer to join their multidisciplinary team for the InfantSimulator project, aimed at bridging human and artificial intelligence. The ideal candidate will require proficiency in Python, data science tools, and familiarity with machine learning. Responsibilities include analyzing ML architectures and improving software efficiency. Recent graduates with a Master’s degree are welcome to apply. This role offers collaboration opportunities with language scientists and psychologists as they develop innovative solutions.

Qualifications

• Recent graduates accepted.
• Experience in research and / or speech processing is a plus.

Responsabilités

• Analyze and modify state-of-the-art machine learning architectures.
• Collaborate with engineers and PhD students to improve software efficiency.
• Ensure accessibility of software and algorithms for team members.

Connaissances

Proficiency in Python and bash

Knowledge of C / C++

Data Science tools (Numpy, Pandas, Jupyter)

Best practices in software development

Background in machine learning, statistics, linguistics, cognitive science

Knowledge of web development (HTML, CSS, Javascript)

Familiarity with machine learning and signal processing

Formation

Master’s degree

Description du poste

MISSIONS

The team is recruiting an engineer to work at the interface between human intelligence and artificial intelligence within the framework of the InfantSimulator project, funded by the European Research Council (ERC). The selected candidate will join a multidisciplinary team composed of language scientists, developmental psychologists, and machine learning specialists. The recruited engineer will be responsible for analyzing and / or modifying state-of-the-art machine learning architectures developed by the team and comparing them with experimental and observational data from studies on young children. They will collaborate closely with other engineers and PhD students in the team to improve software efficiency by implementing best practices in software development. They will also ensure that software and algorithms from the scientific community are accessible to team members, either by integrating them into existing tools or by supporting PhD students in their use.

REQUIRED SKILLS

• Proficiency in Python and bash; knowledge of C / C++ appreciated
• Proficiency in Data Science tools (Numpy, Pandas, Jupyter, etc.)
• Familiarity with best practices in software development (testing, documentation, continuous integration)
• background in machine learning, statistics, linguistics, cognitive science, or a
• combination of these fields.
• Knowledge of web development (HTML, CSS, Javascript, etc.) appreciated
• Familiarity with machine learning and signal processing appreciated

CANDIDATE PROFILE

• Master’s degree (recent graduates accepted)
• Experience in research and / or speech processing is a plus

HOW TO APPLY

• A CV
• A cover letter
• A sample (or link) of developed code
• Two reference letters in English

Put these two documents in the box titled «Last Annual Performance Review»

For any information regarding the project and the scientific expectations of the position, please contact :