APPLICATIONS ARTIFICIAL INTELLIGENCE AFFILIATE PROFESSOR (F/M)

Hiring date
01/09/2022
Location
PSL
60 rue Mazarine 75006 Paris
Logo PSL

Working environment and context

Located in the heart of Paris, PSL inspires dialog among and between all areas of knowledge, innovation, and creativity in Sciences, Humanities and Social Sciences, Engineering and the Arts. Selective and committed to equal opportunity, it draws directly from current research to train researchers, entrepreneurs, artists and managers who are aware of their social responsibility, both individual and collective.   

With 2,900 researchers, 17,000 students, 140 laboratories and 10 incubators, fab labs and co-working spaces, PSL is a human-scale university. It ranks among the world’s top 50 universities according to the THE (Times Higher Education) and QS (Quacquarelli Symonds) rankings.

Hosting structure

The PSL status of affiliate professor offers academics from French research organizations (CNRS / INRIA / INSERM) affiliated to a specific research unit (UMR) the opportunity to participate in the university's teaching activities.

This specific call for applications, financed by the French public grant “Compétence et Métier d'Avenir” (CMA-IA), aims at developing our teaching offer in artificial intelligence and data science in all of PSL's graduate programs and engineering schools.  This project is coordinated by PSL through its transversal Data Science program and in close interaction with the 3IA PRAIRIE Institute. 

 

Teaching mission

The new AI affiliate professors will potentially contribute to the development of new courses that will be created within the different graduate programs of PSL as well as in its transversal Data Science program. They will work closely with the representatives of all applied disciplines as well as the heads of the transversal Data Science program in order to meet the specific needs of these disciplines.

More precisely, they will have to be able to adapt to a large audience of non-specialists in mathematics or computer science.

  • Obligations

- 64 hours of teaching per year (tutorials or equivalent / “TD ou HeqTD”),

- Involvement in the administrative management of a course or supervision of student projects,

 

 

rfg@psl.eu

Research mission

Skills

Applicants may come from any academic discipline, but they will need to demonstrate their ability to teach data science and artificial intelligence at master's and doctoral levels to a broad audience. They are expected to be involved in the creation of new courses within the various graduate programs of PSL. 

 

Non discrimination, ouverture et transparence

L'Université PSL s’engage à soutenir et promouvoir l’égalité, la diversité et l’inclusion au sein de ses communautés. Nous encourageons les candidatures issues de profils variés, que nous veillerons à sélectionner via un processus de recrutement ouvert et transparent.

Hiring process

The selection will be operated by a jury made of representatives PSL University and its schools as well as members of the transversal Data Science program.

 

Application process

Each candidate has to send his or her application including  :

- An academic resume

- A cover letter (2 pages maximum) while indicating the “UMR” he or she belongs to

Applications must be submitted before June 24, 2022. They shall clearly state the title of the position the applicant is targeting (“AI Affiliate Professor”) to :

recrutement@psl.eu

rfg@psl.eu

Contact

Véronique

TOGNARELLI

In charge of recruitment

recrutement@psl.eu

01 80 48 59 26

Access

Métro ligne 4 station Odéon ou Saint Michel

RER B station Saint Michel

Other information

- To be employed by one of the French research organizations (CNRS/INSERM/INRIA).

- 10 positions open

Recherche principalAutre
Position open to BOEs
Reference
PSL Professeur attaché
Published on 23/05/2022
Logo PSL

APPLICATIONS ARTIFICIAL INTELLIGENCE AFFILIATE PROFESSOR (F/H)

Hiring date 01/09/2022 Location 60 rue Mazarine 75006 Paris
School PSL

Working environment and context

Located in the heart of Paris, PSL inspires dialog among and between all areas of knowledge, innovation, and creativity in Sciences, Humanities and Social Sciences, Engineering and the Arts. Selective and committed to equal opportunity, it draws directly from current research to train researchers, entrepreneurs, artists and managers who are aware of their social responsibility, both individual and collective.   

With 2,900 researchers, 17,000 students, 140 laboratories and 10 incubators, fab labs and co-working spaces, PSL is a human-scale university. It ranks among the world’s top 50 universities according to the THE (Times Higher Education) and QS (Quacquarelli Symonds) rankings.

Hosting structure

The PSL status of affiliate professor offers academics from French research organizations (CNRS / INRIA / INSERM) affiliated to a specific research unit (UMR) the opportunity to participate in the university's teaching activities.

This specific call for applications, financed by the French public grant “Compétence et Métier d'Avenir” (CMA-IA), aims at developing our teaching offer in artificial intelligence and data science in all of PSL's graduate programs and engineering schools.  This project is coordinated by PSL through its transversal Data Science program and in close interaction with the 3IA PRAIRIE Institute. 

 

Teaching mission

The new AI affiliate professors will potentially contribute to the development of new courses that will be created within the different graduate programs of PSL as well as in its transversal Data Science program. They will work closely with the representatives of all applied disciplines as well as the heads of the transversal Data Science program in order to meet the specific needs of these disciplines.

More precisely, they will have to be able to adapt to a large audience of non-specialists in mathematics or computer science.

  • Obligations

- 64 hours of teaching per year (tutorials or equivalent / “TD ou HeqTD”),

- Involvement in the administrative management of a course or supervision of student projects,

 

 

rfg@psl.eu

Research mission

Skills

Applicants may come from any academic discipline, but they will need to demonstrate their ability to teach data science and artificial intelligence at master's and doctoral levels to a broad audience. They are expected to be involved in the creation of new courses within the various graduate programs of PSL. 

 

Non discrimination, ouverture et transparence

L'Université PSL s’engage à soutenir et promouvoir l’égalité, la diversité et l’inclusion au sein de ses communautés. Nous encourageons les candidatures issues de profils variés, que nous veillerons à sélectionner via un processus de recrutement ouvert et transparent.

Hiring process

The selection will be operated by a jury made of representatives PSL University and its schools as well as members of the transversal Data Science program.

 

Application process

Each candidate has to send his or her application including  :

- An academic resume

- A cover letter (2 pages maximum) while indicating the “UMR” he or she belongs to

Applications must be submitted before June 24, 2022. They shall clearly state the title of the position the applicant is targeting (“AI Affiliate Professor”) to :

recrutement@psl.eu

rfg@psl.eu

Contact

Véronique TOGNARELLI

In charge of recruitment

recrutement@psl.eu

01 80 48 59 26

Access

Métro ligne 4 station Odéon ou Saint Michel

RER B station Saint Michel

Other information

- To be employed by one of the French research organizations (CNRS/INSERM/INRIA).

- 10 positions open

Recherche principal : Autre Recherche secondaire : Autre
Position open to BOEs Reference

PSL Professeur attaché

Published on 23/05/2022

Université PSL (Paris Sciences & Lettres)