Current job offers

ENSAE Paris-CREST | Faculty Position in Sociology

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

The appointment starts on beginning of 2022 (negotiable).

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 French;
  • Proficiency or working knowledge in English;
  • Participation in international academic networks.


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 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. Associate Professors typically teach one more advanced course.


Applicants should submit ( 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, 2021

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

Contact persons

  • Ivaylo D. Petev, head of CREST Sociology:
  • Arnak Dalalyan, director of CREST:
  • Laurent Davezies, head of graduate studies at ENSAE Paris:

ENSAE Paris-IP Paris | Assistant/Associate Professor position in Econometrics/Applied Econometrics at Hi! Paris

Presentation and context of the institution

The Institut Polytechnique de Paris (IP Paris), legally created in May 2019, brings together five Grandes Ecoles: the École Polytechnique, ENSTA Paris, ENSAE Paris (a GENES school), Télécom Paris and Télécom SudParis (two IMT schools). This grouping of five institutions of excellence within the Institut Polytechnique de Paris deliberately places itself in an international approach to higher education and research. IP Paris’ ambition is to train 10,000 students by 2022.

It enables these Schools to combine their strengths, to amplify their existing cooperative actions and to gain in visibility, especially internationally, by capitalizing on their assets and by carrying
out a transformation that will position the Institut Polytechnique de Paris according to international standards. Gathered on the same campus, these Schools have tremendous potential, enabling them to leverage their strengths to implement joint projects.

Hi! PARIS: created jointly by HEC Paris and the Institut Polytechnique de Paris (IP Paris), Hi! Paris is a new interdisciplinary research and teaching center dedicated to AI and Data Sciences. Hi! Paris, the first European interdisciplinary and interinstitutional center combining education, research and innovation, aims to become a world leader in the field within 5 years by addressing the main challenges of technological transformation and its impact on business and society. The Center will rely on the 300 researchers and the infrastructures of IP Paris and HEC Paris in these fields. It is a continuation of an intense dynamic collaboration between the two institutions, which already share a common doctoral school and master’s degrees. It is entirely financed by corporate sponsors mobilized around the two academic institutions. A unique space for breakthroughs, training and innovation, technology development and transfer, Hi! Paris will be active in key application areas such as energy and environment, defense and security, health, retail and luxury goods, telecoms, food, finance and insurance… By strengthening the collaboration between IP Paris and HEC Paris, and by capitalizing on their expertise covering a broad academic spectrum, Hi! Paris will have a powerful impact on a European and global scale in terms of data-IA research and training (engineers, managers, young researchers, continuing education), resources that are today indispensable to companies and laboratories, both public and private.

ENSAE Paris and IP Paris welcome applications for a tenure track position as Assistant Professor or tenured position as Associate Professor in Econometrics (theory and applications) to begin
in September 2021. With a main focus on the identification of causal effects, its methods and its applications, the successful candidate will be affiliated to CREST. The
position comes with a substantial recruitment package.

Work description

The primary focus is research on advanced methods for the identification of causal effects, both in its theoretical and applied dimensions, as a part of the “AI and Data Sciences for Society” area
of Hi! Paris. The successful candidate will have demonstrated leadership and research accomplishments in Econometrics, both in its theoretical and applied components, including but not
limited to the following research areas: econometric and statistical methods for the evaluation of public policies, econometrics for randomized experiments, causality, as well as applications in
particular to health-related questions

A main criterion for employment is a strong commitment to research and teaching. The position requires a Ph.D. in Economics with a specialization in Econometrics. The candidate must have evidence of strong research productivity in the aforementioned fields. The successful candidate will have an important role and large freedom in developing the area of causal inference, both in research and in undergraduate and graduate education. The candidate is also expected to develop collaboration across institutional boundaries inside and outside the university IP Paris and within Hi! Paris.

The position includes a substantial recruitment package including salary, research budget, PhD grant, amounting to a maximum of 250 000 € per year for an assistant professor and 350 000€
per year for an associate professor. Hi! Paris aims to increase the proportion of women in research and teaching and therefore expressly invites qualified female scientists to apply.

Applicants are kindly requested to send the following documents combined in a single PDF file to the address

  1. Cover letter
  2. Curriculum vitae
  3. Research statement
  4. Teaching statement
  5. List of three referees

The deadline for applications is March 1st, 2021.

Contact persons

ENSAE Paris-CREST | Position in Statistics and Machine Learning

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

The appointment starts on September 1, 2021. Salary is competitive according to qualifications. The teaching duties are reduced compared to French university standards.

Candidate Profile

  • PhD in Statistics or Machine Learning.
  • Outstanding research, including subjects in high-dimensional statistics and machine learning, in particular, robust procedures.
  • 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 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).

Applications should be submitted in French or in English by email to 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: January 15, 2021.

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

Contact persons