postdoctoral researcher in computer science

INSA Strasbourg; France; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

A European research institution seeks a postdoctoral researcher to contribute to the ENERGETIC project, focusing on next-generation Battery Management Systems. Candidates should have a PhD in computer science and solid skills in machine learning, multimodal data processing, and AI. Responsibilities include developing AI models for battery aging diagnosis and integrating complex data, with occasional travel expected. A competitive salary will align with the French national pay scale for postdoctoral researchers.

Qualifications

• Solid understanding of machine learning and AI techniques.
• Familiarity with multimodal data processing.
• Knowledge of LLMs and reasoning-based AI.

Responsabilités

• Develop multimodal AI models for battery diagnosis.
• Integrate data with advanced AI methods.
• Contribute to next-generation Battery Management Systems.

Connaissances

Machine learning

Deep learning

Multimodal data processing

Natural language processing

Electrochemical systems knowledge

Data analysis

Python

PyTorch

TensorFlow

Formation

PhD or equivalent

Description du poste

Offer Description

The postdoctoral researcher will work within the European ENERGETIC project, dedicated to developing the next generation of Battery Management Systems (BMS) to optimize the use of Li-ion batteries in both first life (mobility) and second life (stationary storage).

Their mission will consist of developing multimodal approaches for understanding Li-ion battery aging, integrating heterogeneous data (electrochemical, electrical, thermal, usage history, etc.) together with advanced artificial intelligence methods.

The main objectives are to:

• design and experiment with multimodal AI models to improve the diagnosis and prediction of battery aging;
• explore and integrate the use of Large Language Models (LLMs), LLM agent, Agentic AI models and automated reasoning approaches for the interpretation of complex data, the analysis of experimental protocols, and the generation of structured knowledge;
• contribute to the development of tools relevant to next-generation BMS within the ENERGETIC consortium.

Where to apply

E-mail [e-mail]

Requirements

Education Level: PhD or equivalent.

Skills / Qualifications

• Solid understanding of machine learning, deep learning, and modern AI techniques;
• Knowledge of multimodal data processing (time series, text, signals, etc.);
• Familiarity with Large Language Models (LLMs), natural language processing, and reasoning based AI;
• Understanding of electrochemical systems or Li-ion battery fundamentals (or strong willingness to learn);
• Experience with data analysis and scientific computing;
• Proficiency in Python and common ML frameworks (PyTorch, TensorFlow, etc.);
• Design, implement, and evaluate machine learning and deep learning models, including multimodal architectures;
• Process, clean, and integrate heterogeneous datasets (electrical, thermal, textual, usage data, etc.);
• Develop reproducible data pipelines and experimental workflows.

Languages:

• English – Excellent;
• French – Good.

Years of Research Experience: 1 – 4

Specific Requirements

• Management: no;
• Project management: yes;
• Travel: occasional;
• Salary: according French national pay scale for postdoctoral researchers.

Eligibility Criteria

PhD in computer science.

Selection Process

Application requirements:

• Copy of identity document and diplomas;
• Curriculum vitae;
• Cover letter;
• Any other relevant documents.

Selection from among the application files for a recruitment interview with the selected candidates and choice of one of the candidates at the end of the process.

Internal Application form(s) needed.

Postdoctoral researcher in computer science at INSA Stbg.pdf