[Job-offers-cs] Associate professor position in AI, Data Science and Decision in Paris Dauphine University (France)

Pekka Orponen pekka.orponen at aalto.fi
Mon Feb 19 13:28:51 EET 2024


An associate professor position ("maître de conférences") is available 
at Paris Dauphine University - PSL, in Artificial Intelligence, Data 
Science and Decision. The research will be carried out in LAMSADE Lab, 
CNRS UMR 7243. The teaching activity will be undertaken in departments 
of Paris Dauphine University - PSL, mainly in the Department of 
Mathematics and Computer Science. Knowledge of French language is not 
mandatory. The position official description (in French), can be found at:

https://www.lamsade.dauphine.fr/fr/collaborer-avec-nous/postes-denseignants-chercheurs.html>
Its content is translated in English below:

** Teaching profile **

The recruited person will be affiliated to the MIDO department of the 
University of Paris Dauphine - PSL, but they may also occasionally teach 
in the other departments. The department's teaching needs are both 
numerous and varied in computer science, and more particularly marked in 
disciplines relating to data. The ability to teach a broad spectrum of 
computer science disciplines and the willingness to intervene more 
particularly at undergrad level will be favored. In the long term, the 
recruited person is expected to invest in responsibilities educational 
in the MIDO department. The artificial intelligence skills of the 
recruited person will be very appreciated, particularly in double IA/SO 
bachelor program (Sciences of Organizations) whose third year will open 
at the start of the 2024 school year. These skills are also required in 
Master 1 I2D and Master 2 IASD, and more generally in all training 
courses containing teaching in artificial intelligence, decision 
sciences and science of data. It should be noted that the master's 
courses are taught in English. The knowledge of French language skills 
are therefore not required to apply. The person recruited (if they have 
never held the position of lecturer previously) will have a teaching 
load of 96 hours the first year, then 128 hours the following two years. 
They will also benefit from pedagogical training workshops, provided by 
the Center of Pedagogical Innovation from Paris Dauphine University - PSL.

** Research profile **

The recruited person will develop their research activities within the 
framework of scientific orientations of LAMSADE, Paris-Dauphine 
University - PSL and the PRAIRIE Institute. We are looking for a 
candidate in artificial intelligence, science data or decision, and 
whose research is part of one or ideally several themes developed by the 
“decision support” and “data science” centers of the LAMSADE, in particular:
- search algorithms in large state spaces, planning, satisfaction 
constraints, satisfiability, heuristic search
- artificial learning (machine learning), reinforcement learning, deep 
learning, large language models, fairness, trusted AI, robustness of models
- computational social choice, decision in uncertainty, multi-criteria 
decision, theory algorithmic games.
- management of massive data, data generation, graphs of knowledge, 
process mining, stream processing

** Research center description: **

LAMSADE is a laboratory of Paris-Dauphine University and the CNRS. Our 
research activity is located at the meeting of two fundamental 
disciplines: Computer Science and Decision Support (and more 
specifically Operations Research). Our research themes concern both 
fundamental aspects and applied aspects, and are based around decision 
support and the theory of decision and games and social choice, 
operations research, optimization combinatorics, algorithmic complexity, 
mathematical programming, interactions between decision-making and 
artificial intelligence, databases, machine learning and service 
engineering. It is structured into three poles: "Decision support", 
"Combinatorial, algorithmic optimization", "Sciences of Data".

The recruited person will benefit from an environment of excellence and 
will have access to numerous resources, notably thanks to Paris Sciences 
et Lettres and the 3IA institute
PRAIRIE/PSAI (https://prairie-institute.fr/>
** Contacts **

Candidates are invited to contact:
Jérôme Lang (president of the selection committee and director of LAMSADE):
jerome.lang at lamsade.dauphine.fr
As well as with the heads of research teams:
Meltem Öztürk Escoffier and Stéphane Airiau (for the Decision Support 
department)
meltem.ozturk at lamsade.dauphine.fr, stephane.airiau at lamsade.dauphine.fr
Yann Chevaleyre and Khalid Belhajjame (for the Data Sciences division)
yann.chevaleyre at lamsade.dauphine.fr, kbelhajj at googlemail.com
Teaching department: MIDO
Place(s) of practice: Porte Dauphine campus, and possibly PariSanté campus
Teaching team: MIDO Department
Name of department co-director: André Rossi
Email: andre.rossi at dauphine.psl.eu
Dept URL: https://dauphine.psl.eu/formations/masters/informatique and
https://dauphine.psl.eu/formations/licences/informatique-des-organizations>


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