PhD Thesis: Interpretability and Evaluation, Université Grenoble Alpes, France

Postdoc in France
PhD Thesis: Interpretability and Evaluation: The Université Grenoble Alpes, CNRS, and INP are offering a PhD position on the interpretability and evaluation of Large Language Models (LLMs) and agentic workflows. This full-time, three-year PhD contract starts on November 1, 2024. The successful candidate will work within the GETALP team at the LIG laboratory, collaborating with prominent researchers and industry partners. The research will focus on understanding the behavior of LLMs, interpreting their decisions, and evaluating their capabilities using novel methodologies inspired by neuroscience and causal inference.

PhD Thesis: Interpretability and Evaluation of LLMs and Agentic Workflows (M/F)

Summary Table

TitlePhD Thesis: Interpretability and Evaluation of LLMs and Agentic Workflows (M/F)
Number of Positions1
Type of ContractPhD Student contract / Thesis offer
Contract Period36 months
Start DateNovember 1, 2024
Work ProportionFull time
Remuneration€2,135.00 gross monthly
Application DeadlineJuly 3, 2024, 23:59:00 Paris time
Publication DateJune 12, 2024

Study Area

The study area is Information Sciences, focusing on the foundations of information technology, calculations, algorithms, representations, and uses.

Scholarship Description

This PhD position offers the opportunity to engage in cutting-edge research on LLMs and agentic workflows. The primary goal is to gain a deeper understanding of LLMs, interpret their decisions, and evaluate their capabilities using innovative methodologies. The research will involve developing a strong foundation in the evaluation of complex systems and applying principles of causal inference to machine learning. The PhD student will be encouraged to align the research project with their interests and bring unique perspectives to the table.


  • A Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Strong background in natural language processing, machine learning, and causal inference.
  • Proficiency in programming languages such as Python.
  • Excellent analytical and problem-solving skills.
  • Ability to work both independently and within a team.

Required Documents

  • Curriculum Vitae (CV)
  • Cover Letter explaining your motivation and research interests
  • Academic transcripts
  • Contact details of at least two academic referees
  • Any relevant publications or research work

How to Apply

To apply for this position, ensure that your candidate profile is correct and submit your application through the official portal. Include all the required documents and make sure to highlight your relevant experience and motivation for this research project.

Last Date

The application deadline is July 3, 2024, at 23:59:00 Paris time.



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