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Professorship in Statistics at the Ecole polytechnique fédérale de Lausanne (EPFL)

     
Employer
EPFL
Institute of Mathematics
Published
WorkplaceLausanne, Lake Geneva region, Switzerland
Category
Position

The Institute of Mathematics of the School of Basic Sciences at EPFL invites applications for a

Tenure Track Assistant Professorship in Statistics .

In exceptional cases, appointment at the senior level may be considered.

Requirements

We seek outstanding candidates with research interests in the development and application of novel statistical methodology, including candidates focussing on a substantive application area . Indicative methodological interests include large scale and causal inference, computationally intensive inference, and nonparametric inference. Indicative areas of application include, but are not limited to, biomedical science, genetics/genomics, environmental and earth science, physics and astronomy.

We offer

Significant start-up resources and research infrastructure will be made available. EPFL offers highly competitive salaries at an international level.

Address

Applications including a letter of motivation, a curriculum vitae, a publication list, a concise statement of research and teaching interests, as well as the names and addresses (including email) of at least three references should be submitted in pdf format via the website

https://facultyrecruiting.epfl.ch/p osition/17104898

The evaluation process will start on October 1st, 2019 . Applications submitted prior to that date are guaranteed consideration, applications arriving later might also be considered.

Enquiries may be addressed to:
Prof. Victor Panaretos
Chair of the Search Committee
E-mail : direction.mathepfl.ch

For additional information, please consult www.epfl.ch, sb.epfl.ch

EPFL is an equal opportunity employer and family friendly university. It is committed to increasing the diversity of its faculty. It strongly encourages women to apply.

Web www.epfl.ch
sb.epfl.ch
 
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In your application, please refer to myScience.org
and reference  JobID 1000179.