Post-Doctoral Research Visit F/M on causal inference and explainable AI and its application to understanding climate change

Changed on 25/08/2021

Inria has artificial intelligence, machine learning and related topics as one of its five priority focuses. Recent results in these areas have created significant opportunities, but at the same time involve major challenges. Within this context, issues such as causality inference, explainability of AI models and ethical issues have gained central space. At Inria Chile we seek to develop these directions and, in turn, apply these principles in projects related to marine ecology, climate change mitigation, accident prevention, precision agriculture, mining, transportation, health, astronomy, among others.


*Deadline for applications: September 23, 2021.

Position description



Scientific direction

Number of Positions



Place of work


Inria Chile Offices

Direct Supervisor


Scientific Director



Full time

Duration of employment contract


3 months probationary fixed- term contract (then permanent contract in case of successful completion of the missions entrusted)

Objectives and Duties of the Position

The recruited postdoc will be a member of Inria Chile's R&D team and, as such, will implement the machine learning models defined at the center.

The duties of the position are:

  • Model creation and optimization using machine learning techniques.
  • Development of state- of- the- art methods related to causality inference and explainable AI.
  • Improvement of data collection procedures to include relevant information for the creation of analytical systems.
  • Attracting R&D funding with industry and academia.
  • Do ad- hoc analysis, visualize and report results clearly.
  • Co- development of software with Inria project teams.
  • Participation of a network of development experts within the center and/or at national and international level.
  • Creation of training courses, sharing knowledge of technology watch, tools or recommended development methods.
  • Technical mentoring of junior engineers or interns as part of technology development actions.
  • Prepare reports, scientific papers, minutes and reports as required, in collaboration with Inria Chile team members.
  • Participate in dissemination actions such as courses, conferences, lectures, etc.

Role Specifications

Educational background:

  • PhD in computer science, informatics, engineering, statistics, applied mathematics, and related careers.


  • Publications in the area in renowned media.
  • Autonomy and leadership to organize R&D projects and attract funding.
  • Advanced command of English. French desirable.
  • Ability to find solutions to ill- defined problems by leveraging pattern detection on potentially large data sets.
  • Excellent understanding of basic machine learning techniques and algorithms.
  • Neural networks, deep learning, convolutional and recurrent networks.
  • Programming languages: Python and at least one of the following: JavaScript, Java, Scala, C, C++, R or Matlab.

Desired knowledge:

  • Reinforcement learning, active learning, transfer learning.
  • Proficiency in basic natural language processing tools.
  • Skills in applied statistics, design of experiments, distributions, hypothesis testing, etc.
  • Machine learning development stack (scikit- learn, Tensorflow/PyTorch, Jupyter, Spark, etc.).
  • Methodologies: Scrum, Test Driven Development, Continuous Integration.
  • Experience in maintaining an open source project with packaging, regular releases on standard distribution channels and issue tracking.
  • Coordination and project management skills.

Know- how:

  • Autonomy, curiosity, and a taste for working as part of a team.
  • Quality of work.
  • Organization and planning of tasks.
  • Proactivity.


  • To be part of an institution of excellence and international recognition
  • 13th salary
  • Complementary health insurance
  • 5 additional vacation days
  • Voluntary Pension Savings Incentives

Required Documentation

Send application to including:

  • Name of the position in the subject line of the email
  • Curriculum Vitae
  • Date of availability
  • Motivation letter
  • 2 letters of recommendation