[Ieee_vis_open_positions] Post-Doctoral position, project management engineer in Explainable AI for Air Traffic Management at ENAC (French Civil Aviation University), Toulouse, France

[Christophe ENAC]

-- Apologies for cross-postings –


**

**Place of work**DataVis lab, ENAC, Toulouse France.

**Starting date**February 2021

**Salary**according to background and from 2300 € /month

**Duration**12 months

Application should be sent to Christophe Hurter: 
*christophe.hurter at enac.fr *


**Context**

The Post-Doctoral or Engineer or fellowship will take part in the 
ENAC/MDH/DBLUE/SAPIENZA joint project *ARTIMATION**, funded by the 
H2020-SESAR-2019-R2*.

Recently, Artificial intelligence (AI) algorithms have shown increasable 
interest in various application domains including in Air Transportation 
Management (ATM). Different AI in particular Machine Learning (ML) 
algorithms are used to provide decision support in autonomous 
decision-making tasks in the ATM domain e.g. predicting air 
transportation traffic and optimizing traffic flows. However, most of 
the time these automated systems are not accepted or trusted by the 
intended users as the decisions provided by AI are often opaque, 
non-intuitive and not understandable by human operators. Safety is the 
major pillar to air traffic management, and no black box process can be 
inserted in a decision-making process when human life is involved. In 
order to address this challenge related to transparency of the automated 
system in the ATM domain, ARTIMATION focuses on investigating AI methods 
in predicting air transportation traffic and optimizing traffic flows 
based on the domain of Explainable Artificial Intelligence (XAI). Here, 
AI models’ explainability in terms of understanding a decision i.e., 
post hoc interpretability and understanding how the model works i.e., 
transparency can be provided in the air traffic management. In 
predicting air transportation traffic and optimizing traffic flows 
systems, ARTIMATION will provide a proof-of- concept of transparent AI 
models that includes visualization, explanation, generalization with 
adaptability over time to ensure safe and reliable decisionsupport.

* *Candidate profile**

As a minimum requirement, the successful candidate should have:

• Skills in one or more of the following areas: human-agent interaction, 
deep learning, reinforcement learning

•Excellent programming skills (preferably in Python)

•Excellent command of English

  * *Tasks**

•Project management: project supervision, work package monitoring, 
international meetings.

•Research tasks: conducting research investigations with the other 
academic members of the consortium, research paper publications.

• Development tasks: software development using A.I. (Tensorflow, 
Keras…) and data visualisation toolkit using various programming 
language (C++, Java, Python, C#...) and environments (Visual Studio, 
notebooks,…).

**How to apply**

The application should be formatted as **a single pdf file** and should 
include:

•A complete and detailed curriculum vitae

•A cover letters


The pdf file should be sent to Christophe Hurter: 
*christophe.hurter at enac.fr *

**

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