Associate Professor / Maître de conférences in Scalable Artificial Intelligence

When:
15/03/2019 – 16/03/2019 all-day
2019-03-15T01:00:00+01:00
2019-03-16T01:00:00+01:00

Annonce en lien avec l’Action/le Réseau : aucun

Laboratoire/Entreprise : Télécom ParisTech
Durée : Permanent
Contact : pierre@senellart.com
Date limite de publication : 2019-03-15

Contexte :
Télécom ParisTech is one of the most selective engineering schools in France, admitting the top 5% of students of a nation-wide entrance exam in sciences. The school has a vibrant research and teaching activity in the domain of data sciences and artificial intelligence (AI), and aims at strengthening its expertise in AI. Therefore, Télécom ParisTech is hiring an associate professor to join the DIG team (https://dig.telecom-paristech.fr/).

The DIG team has already significant international visibility with flagship projects such as MOA/SAMOA and YAGO and expertise in graph/text mining and design of approximation algorithms. With 1/3 of tenured staff from abroad, and teaching contributions to English-speaking master’s programs, it is a very internationally oriented team.

Sujet :
The candidate is expected to carry out innovative research in collaboration with researchers specializing in machine learning, distributed systems, databases, data mining, etc. She or he must have research and teaching experience in one or more scientific disciplines within the scope of AI, Big Data, and large-scale distributed computing.

The candidate must be able to contribute to the scientific success of Telecom ParisTech, in the form of leading publications, awards and honors, projects, and international collaborations. Starting from September 2019, Télécom ParisTech will join 4 other engineering schools in Palaiseau (just south of Paris) to form a new joint university provisionally known as “NewUni”.

Profil du candidat :
Missions
Design and teach courses in the field of computer science, in particular, on AI, Big Data, Data Mining, Data Engineering, using appropriate technologies (clusters, parallel programming on multi-core systems, Hadoop, Spark, Storm, SAMOA, Hive, TensorFlow, etc.);
Conduct high-quality research in computer science, AI, Big Data, Data Mining, Data Engineering, Distributed Systems in collaboration with existing teams at Télécom ParisTech, and contribute to the international visibility of the school;
Participate in the development of partnership research, collaborations and contracts.

Formation et compétences requises :
Level of training and / or experience required:
PhD

Essential skills, knowledge and experience:
In-depth theoretical and practical knowledge in one or more of the following areas:
Artificial Intelligence, Symbolic AI, Machine Learning
Distributed Computing, Parallel Programming, Multi-Core Systems
Massive data processing and storage, parallelization, and distribution
Management and mining of complex, massive, distributed, heterogeneous data
Large-scale graphs, social networks, semantic networks
Text Mining
Machine Learning, distributed learning algorithms, massively parallel algorithms
Data Stream Mining
Teaching experience in French or English
Fluency in oral and written English (to teach and to do research)
French: if the candidate is not French-speaking, he or she must commit to learning French within the first few years of employment

Desirable skills, knowledge and experience:
International collaborations and participation in international research projects
Publications in prestigious international journals and conferences
Experience in scientific or industrial applications related to big data and/or distributed computing

Adresse d’emploi :
University: Télécom ParisTech, https://telecom-paristech.fr/
Location: Palaiseau, near Paris, France

See https://dig.telecom-paristech.fr/blog/index.php/open-associate-professor-position-in-scalable-artificial-intelligence-in-paris/ for application details

Document attaché :