Current job offers


ENSAE Paris - CREST | Faculty Position in Sociology

ENSAE Paris and CREST are currently inviting applications for a position of Assistant Professor in Sociology.

Download the job description in PDF

ENSAE Paris is one of the leading French Grande Écoles, specialized in Economics, Data Science, Quantitative Social Sciences, among other areas. CREST is the associated interdisciplinary center for research on quantitative methods applied to the social sciences. Both institutions are part of the Institut Polytechnique de Paris, a new cluster of graduate schools, located on the campus of Ecole Polytechnique in the south of Paris.

Sociologists at ENSAE Paris-CREST use empirical data and quantitative and mixed methods to study a wide range of questions. We have a strong expertise in methodology and a rich practice with national and international datasets and new types of data. Our current work addresses questions of social mobility and inequality; demography, gender and the family; lifestyles and cultural practices; economic sociology; migration and immigration; health inequalities; social science genomics; political elites; computational social sciences.

The research group has a proactive visiting scholar policy and a research seminar with regular participation from international scholars. We teach courses in the ENSAE curriculum and in the Master program in Quantitative Sociology and Demography. We have a dynamic group of doctoral students who participate actively in the daily life and research activities of the CREST sociology team.

Description of position

Date of appointment: September 2022.
Candidate Profile:

  • PhD in Sociology or a related discipline (at the time of appointment);
  • Solid general knowledge in sociology;
  • Proficiency in quantitative methods;
  • Strong publication record or potential;
  • Proficiency in English;
  • Proficiency in French is a plus;
  • Participation in international academic networks.

Conditions

The position has no citizenship requirement.

At the Assistant Professor level this tenure-track position is for a six-year period (with mid-term evaluation) and with a possibility for tenure (Associate Professor). Assistant Professors are expected to teach at least one course at the undergraduate level and one course at the Master level. We strongly encourage candidates from under-represented groups to apply.

Application

Applicants should submit (recruitment@ensae.fr) the following documents (in English, PDF format):

  • Curriculum vitae;
  • Research statement of experience and interests (3 pages);
  • Teaching statement of experience and interests (1 page);
  • Names and corresponding information of three individuals willing to provide letters of reference.

Application Deadline: March 31, 2022.

Selected candidates will be invited for an interview at ENSAE Paris-CREST.
For further information, contact the head of the search committee, Ivaylo D. Petev (ivaylo.petev@ensae.fr).

 

ENSAE Paris is part of the group GENES (Groupe des écoles nationales d’économie et statistique), a public institution of higher  education and research specialized in economics, statistics, finance and sociology. CREST (center for research in economics and statistics) is a joint research unit between CNRS, GENES and Ecole Polytechnique, covering the same scientific fields.
GENES recruits, employs, and promotes regardless of race, religion, color, national origin, sex, disability or age as required by applicable law.

ENSAE Paris - CREST | Assistant or Associate Professor in Statistics and Machine Learning

ENSAE Paris and CREST are currently inviting applications for a position of Assistant or Associate Professor in Statistics and Machine Learning.
The appointment starts on September 1, 2022. Salary is competitive according to qualifications.
The teaching duties are reduced compared to French university standards.

At the level of Assistant Professor, the position is for an initial three-year term (during which teaching duties is reduced by half) renewable for another three years (with full teaching duties) before the tenure evaluation based on publication track record as well as teaching feedback.
At the level of Associate Professor, the position is permanent.

Download the job description in PDF

Candidate Profile

  • PhD in Statistics or Machine Learning
  • Outstanding research, including subjects in high-dimensional statistics and machine learning.
  • Publications in leading international journals in Statistics and leading outlets in Machine Learning.
  • Demonstrated ability to teach courses in Mathematics, Statistics and Machine Learning for engineers and to supervise projects in Applied Statistics. The successful candidate is expected to supervise projects in Applied Statistics or Machine Learning, and to teach a course in applied mathematics or introductory statistics at the undergraduate level.

Application

Applications should be submitted in French or in English by email to recruitment@ensae.fr and should contain:

  • Curriculum vitae ;
  • Statement of research and teaching interests ;
  • Names and addresses of three or more individuals willing to provide letters of reference.

Deadline for applications: February 6, 2022.

Selected candidates will be invited to present their work and project at ENSAE‐CREST.

 

Contact persons

  • Alexandre Tsybakov : alexandre.tsybakov@ensae.fr
  • Arnak Dalalyan, director of CREST : arnak.dalayan@ensae.fr
  • Frédéric Loss, head of graduate studies at ENSAE : frederic.loss@ensae.fr

ENSAE Paris is part of the group GENES (Groupe des écoles nationales d’économie et statistique), a public institution of higher education and research specialized in economics, statistics, finance and sociology. CREST (center for research in economics and statistics) is a joint research unit between CNRS, GENES and Ecole Polytechnique, covering the same scientific fields.
GENES recruits, employs, and promotes regardless of race, religion, color, national origin, sex, disability or age as required by applicable law.

ENSAE Paris - CREST | Associate or Full Professor in Economics

ENSAE Paris and CREST are currently inviting applications for a position of Associate or Full Professor in Economics.
The appointment starts on September 1, 2022. Salary is competitive according to qualifications. The teaching duties are competitive and reduced compared to French university standards. The position is permanent.

Download the job description in PDF

Candidate Profile

  • PhD in Economics
  • Outstanding research
  • Publications in leading international journals in Economics
  • Depending on her/his profile, the successful candidate is expected to demonstrate anability to teach courses in public economics and public policy, in at least one of its fields of application (environment, trade, labor, IO, political economy …), and its methods (econometrics, machine learning). She/he is also expected to supervise applied projects.

Application

Applications should be submitted in French or in English by email to recruitment@ensae.fr and should contain:

  • Curriculum vitae ;
  • Statement of research and teaching interests ;
  • Names and addresses of three or more individuals willing to provide letters of reference.

Applications will be considered as they come and the process will continue until the position is filled.

Selected candidates will be invited to present their work and project at ENSAE‐CREST.

 

Contact persons

  • Francis Kramarz, ENSAE Research Director : francis.kramarz@ensae.fr
  • Frédéric Loss, head of graduate studies at ENSAE : frederic.loss@ensae.fr

ENSAE Paris is part of the group GENES (Groupe des écoles nationales d’économie et statistique), a public institution of higher education and research specialized in economics, statistics, finance and sociology. CREST (center for research in economics and statistics) is a joint research unit between CNRS, GENES and Ecole Polytechnique, covering the same scientific fields.
GENES recruits, employs, and promotes regardless of race, religion, color, national origin, sex, disability or age as required by applicable law.