Current job offers


ENSAE Paris‐CREST | Faculty Position in Statistics and/or Machine Learning

ENSAE Paris and CREST are currently inviting applications for a position of Assistant or Associate Professor in Statistics and/or Machine Learning.

The appointment starts in September, 2020, at the earliest. Salary is competitive according to qualifications. The teaching duties are reduced compared to French university standards. At the appointment, knowledge of French is not required but it is expected that the appointee will acquire a workable knowledge of French in a reasonable time. At the Assistant Professor level, the position is for an initial three-year term renewable for another three years before the tenure evaluation.

 

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 or 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. At the Assistant Professor level, the successful candidate is expected to teach at least one course in mathematics, applied mathematics or introductory statistics at the undergraduate level, and one course in the “Data Science, Statistics and Machine Learning” specialization track during the third year of ENSAE (Master level). Associate Professors typically teach one more advanced course.

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: March 31, 2020.

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
  • Laurent Davezies, head of graduate studies at ENSAE: laurent.davezies@ensae.fr

ENSAE Paris‐CREST | Faculty Position in Quantitative Sociology

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

ENSAE Paris is one of the leading French Grande Écoles specialized in Economics, Data Science, Quan-titative Social Sciences, Finance and Actuarial Science. The School is deeply related to the Center for Research in Economics and Statistics (CREST), one of France’s leading research centers in the fields of economics, quantitative sociology, statistics and finance. ENSAE Paris is a founding member of the Institut Polytechnique de Paris, together with some of France’s most prestigious graduate schools of engineering.

Sociologists at ENSAE Paris-CREST have a strong expertise in statistical methodology and a rich practice with international datasets. Our current research 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 practices; computational social sciences. The Department 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 Department.

Description of position

Date of appointment: September 2020 (negotiable).

Candidate Profile:

  • PhD in Sociology or a related discipline (at the time of appointment);
  • Solid general knowledge in sociology;
  • Proficiency in advanced quantitative methods;
  • International-level publication record or potential;
  • Proficiency in English (proficiency in French is not required);
  • Active participation in international academic networks.

Conditions

The position has no citizenship requirement. Contract type (Assistant or Associate) and salary depend on the diplomas, experience and research potential of the successful candidate. At the Assistant Professor level the position is for an initial three-year term renewable for another three years before tenure evaluation. Assistant Professors are expected to teach at least one course at the undergraduate level and one course at the Master level. Associate Professors typically teach one more advanced course.

Application

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

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

Application Deadline: April 30, 2020.

Selected candidates will be invited for an interview at ENSAE Paris-CREST.

Contact persons