Postdoctoral researcher in causality and explainable AI

The postdoc will be a member of Inria Chile's R & D team and will implement the center's machine learning models. 

The functions of the position are:

• Creation and optimization of models using machine learning techniques.
• To develop a 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.
• Attract R&D funds with industry and academia.
• Make ad-hoc analysis, visualize, and precisely report results.
• Co-develop software with Inria project teams.
• Participate in a network of development experts within the center and/or at the national and international levels.
• Create training courses, sharing of technology watch knowledge, tools, or recommended development methods.
• Provide technical mentorship to junior or interns engineers as part of the technological development actions.
• Produce reports, scientific articles, and minutes as required, in collaboration with Inria Chile team members.
• Participate in dissemination actions such as courses, conferences, lectures, among other activities.

Educational Training: 

• Ph.D. in computer science, computer science, engineering, statistics, applied mathematics, and related careers

Competencies:

• Possess publications in the area in renowned media.
• Have autonomy and leadership in organizing R+D projects and attract funds.
• Native or advanced English. French desirable.
• Be capable of find solutions to poorly defined problems by taking advantage of pattern detection on potentially large data sets.
• Have an excellent understanding of basic machine learning techniques and algorithms.
• Knowledge in 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:

• Learning by reinforcement, active learning, transfer learning.
• Know essential natural language processing tools. 
• Have skills in applied statistics, design of experiments, distributions, hypothesis testing, among others.
• Machine learning development stack (scikit-learn, Tensorflow/PyTorch, Jupyter, Spark )
• Methodologies: Scrum, Test Driven Development, Continuous Integration.
• Experience in maintaining an open-source project with packaging, regular releases in standard distribution channels, and problem tracking.
• Coordination and project management skills

Know-how:

• Be autonomous, curious, and enjoy teamwork.

• 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 

> Incentives for voluntary social security savings