Emplois actuels liés à PhD Position F/M AI Model Audit and Validation - Palaiseau, Île-de-France - INRIA

  • PhD Position in AI Model Audit

    il y a 4 semaines


    Palaiseau, Île-de-France INRIA Temps plein

    Job DescriptionContext and ObjectivesThe PhD student will work on the development of mathematical tools and methods for auditing and validating AI systems. The goal is to provide a comprehensive characterization of errors in probabilistic predictions and to enable answers as tight as possible at the individual level.EnvironmentThe PhD will take place at...


  • Palaiseau, Île-de-France INRIA Temps plein

    Context and Objectives We are seeking a highly motivated PhD candidate to join our team at INRIA Saclay, working on the development of mathematical tools for auditing complex AI systems. The goal of this project is to provide a comprehensive framework for evaluating the uncertainty of AI models, with a focus on decision theory and utility-based approaches....

  • PhD Position in AI Model Audit

    il y a 4 semaines


    Palaiseau, Île-de-France INRIA Temps plein

    Job DescriptionContext and ObjectivesThe goal of this PhD is to provide mathematical results and tools to guide auditing of complex AI systems. The work will focus on developing methods to estimate expected errors and bounds for black-box AI systems, as well as procedures to best audit these systems. The research will also consider bridging to decision...


  • Palaiseau, Île-de-France INRIA Temps plein

    Job DescriptionThe PhD position in AI model audit at INRIA Saclay is a unique opportunity to explore the challenges of uncertainty quantification in complex AI systems. As a member of the Soda team, you will work on developing mathematical results and tools to guide auditing such systems, enabling answers as tight as possible at the individual level.Key...

  • PhD Position in AI Model Audit

    il y a 4 semaines


    Palaiseau, Île-de-France INRIA Temps plein

    Job DescriptionContext and ObjectivesThe goal of this PhD is to provide mathematical results and tools to guide auditing of complex AI systems. The work will focus on developing methods to estimate expected errors and bounds for black-box AI systems, as well as procedures to best audit these systems. The research will also consider bridging to decision...


  • Palaiseau, Île-de-France INRIA Temps plein

    Job DescriptionContext and ObjectivesThe PhD student will work on the development of mathematical tools and methods for auditing and validating AI systems. The goal is to provide a comprehensive characterization of errors in probabilistic predictions and to enable answers as tight as possible at the individual level.EnvironmentThe PhD will take place at...


  • Palaiseau, Île-de-France INRIA Temps plein

    Job DescriptionContext and ObjectivesThe PhD student will work on the development of mathematical tools and methods for auditing and validating AI systems. The goal is to provide a comprehensive characterization of errors in probabilistic predictions and to enable answers as tight as possible at the individual level.EnvironmentThe PhD will take place at...


  • Palaiseau, Île-de-France INRIA Temps plein

    Context and ObjectivesThe PhD position at INRIA Saclay, within the Soda team, focuses on auditing complex AI systems. Our goal is to develop mathematical tools for evaluating the uncertainty of these systems, enabling more accurate decision-making. This research aims to bridge the gap between probabilistic AI models and the desired safety warrants, providing...


  • Palaiseau, Île-de-France CEA Temps plein

    Job Title:PhD Position in AI-Assisted Generation of High-Level Models and Simulators for Hardware DesignJob Description:The CEA is seeking a highly motivated PhD student to work on a research project focused on the development of AI-assisted generation of high-level models and simulators for hardware design. The successful candidate will be part of a team...


  • Palaiseau, Île-de-France INRIA Temps plein

    Context and ObjectivesThe PhD position at Inria Saclay, within the Soda team, focuses on developing mathematical tools for auditing complex AI systems. The goal is to provide a comprehensive characterization of errors in probabilistic predictions, enabling answers as tight as possible at the individual level. This involves statistical results on estimating...


  • Palaiseau, Île-de-France INRIA Temps plein

    PhD Position in Efficient Space and Garbage Collection for Functional Languages and Lambda CalculiThe Inria Saclay-Île-de-France Research Centre is seeking a PhD candidate to work on the development of efficient space consumption models for functional programming languages and lambda calculus.About the ProjectThe project aims to develop a theoretical study...


  • Palaiseau, Île-de-France INRIA Temps plein

    Background and MotivationThe increasing reliance on complex AI systems in various sectors has led to a growing demand for auditing these systems to ensure their safety and effectiveness. However, the probabilistic nature of modern AI presents a challenge in achieving certitude in individual cases. From an engineering standpoint, uncertainty quantification is...


  • Palaiseau, Île-de-France INRIA Temps plein

    Job DescriptionPhD Position in Efficient Space and Garbage Collection for Functional Languages and Lambda CalculusInria Saclay-Île-de-France Research Centre is seeking a PhD candidate to work on a research project focused on efficient space consumption for functional programming languages and lambda calculus. The project aims to develop a theoretical study...


  • Palaiseau, Île-de-France INRIA Temps plein

    Job DescriptionPhD Position in Efficient Space and Garbage Collection for Functional Languages and Lambda CalculiInria Saclay-Île-de-France Research Centre is seeking a PhD candidate to work on a research project focused on efficient space consumption for functional programming languages and lambda calculus. The project aims to develop a theoretical study...


  • Palaiseau, Île-de-France INRIA Temps plein

    Job DescriptionPhD Position in Efficient Space and Garbage Collection for Functional Languages and Lambda CalculusInria Saclay-Île-de-France Research Centre is seeking a PhD candidate to work on a research project focused on efficient space consumption for functional programming languages and lambda calculus. The project aims to develop a theoretical study...


  • Palaiseau, Île-de-France CEA Temps plein

    Job SummaryWe are seeking a highly motivated PhD researcher to join our team at CEA, working on the development of AI-assisted generation of high-level models and simulators for hardware design.Key ResponsibilitiesDesign and implement a methodology for automatic generation of Instruction Set Simulators (ISSs) from Register Transfer Level (RTL) models using...


  • Palaiseau, Île-de-France INRIA Temps plein

    Job Title: PhD Position in Coordinated Influence Campaign DetectionINRIA is seeking a highly motivated PhD student to work on a research project focused on detecting coordinated influence campaigns online. The successful candidate will contribute to the development of novel methods for identifying and analyzing online influence campaigns.Job Description:The...


  • Palaiseau, Île-de-France INRIA Temps plein

    Job Context and RequirementsINRIA is seeking a highly skilled candidate to fill a PhD position in the field of hyperbolic metamaterials. The successful applicant will be responsible for developing numerical analysis techniques for wave propagation in these unique materials.The ideal candidate will have a strong background in numerical analysis, solid complex...


  • Palaiseau, Île-de-France INRIA Temps plein

    Job DescriptionWe are seeking a highly motivated and skilled Neuroscience PhD Researcher to join our team at INRIA. The successful candidate will be responsible for building basic models of brain function using large-scale imaging resources.Key ResponsibilitiesCollect and analyze publicly available brain imaging datasets to enable large-scale...


  • Palaiseau, Île-de-France INRIA Temps plein

    Job DescriptionContext and OpportunitiesWe are seeking a highly motivated PhD researcher to join our team at INRIA, working on building basic models of brain function using large-scale imaging resources. The successful candidate will contribute to the development of novel methods for brain data analysis, leveraging recent advances in AI-powered cognitive...

PhD Position F/M AI Model Audit and Validation

Il y a 2 mois


Palaiseau, Île-de-France INRIA Temps plein

Job Opportunity

Our company, INRIA, is seeking a highly skilled PhD candidate to join our research team. The successful candidate will work on developing mathematical tools for auditing complex AI systems, focusing on uncertainty quantification and error estimation at the individual level.

Main Responsibilities:

  • Conduct in-depth research and study related literature to stay up-to-date with the latest advancements in AI auditing.
  • Formulate and solve complex mathematical problems to develop innovative solutions.
  • Implement algorithms and conduct experiments to validate the effectiveness of the developed tools.
  • Collaborate with the research team to write and publish research papers in top-tier conferences and journals.

Requirements:

  • Excellent proficiency in English, both written and spoken.
  • Strong skills in Python, numpy, and scikit-learn programming languages.
  • In-depth knowledge of mathematics, statistics, and machine learning concepts.
  • A strong curiosity and analytical mindset, with the ability to think critically and outside the box.

Benefits:

  • Subsidized meals and partial public transport cost reimbursement.
  • Generous annual leave and additional days off to maintain a healthy work-life balance.
  • Teleworking options to accommodate flexible work arrangements.
  • Professional equipment provided to support research activities.
  • Access to training programs to enhance skills and knowledge.
  • Social security coverage for peace of mind.

Compensation:

Minimum salary: 2,100 € gross/month, providing a stable financial foundation for the successful candidate.

By joining our research team, the successful candidate will contribute to advancing research in AI auditing and making AI systems more reliable and transparent.