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

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.

Educational background:

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

Competencies:

• 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

Send application to oportunidades@inria.cl including:

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