Post-Doctoral Position (M/F) On Statistical Modeling At Lpsm, Paris, France

Universities and Institutes of France
October 15, 2023
Contact:N/A
Offerd Salary:Negotiation
Location:N/A
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A

4 Sep 2023

Job Information

Organisation/Company

Sorbonne Université

Department

LPSM (Laboratoire de Probabilités, Statistique et Modélisation

Research Field

Mathematics » Statistics

Researcher Profile

Recognised Researcher (R2)

Country

France

Application Deadline

15 Oct 2023 - 20:00 (Europe/Paris)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

38,5

Offer Starting Date

1 Dec 2023

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

A one-year post-doctoral research contract (12 to 15 months) is open at the Laboratoire de Probabilités, Statistique & Modélisation (LPSM, Sorbonne Université, Université Paris Cité and CNRS), located in Paris (Fance) in the Stochastics and Biology group (SGB). SBG gathers probabilists and statisticians of the LPSM interested in mathematical problems inspired by biology and/or applying mathematics to biological problems. The position will be supervised by Dr. Catherine Matias, in Paris.

The selected candidate will be responsible for the development of new statistical models for density-sparse hypergraphs.

More details at https:// cmatias.perso.math.cnrs.fr/Docs/AnnoncepostdocSparseHypergraphs.pdf

Requirements

Research Field

Mathematics » Statistics

Education Level

PhD or equivalent

Skills/Qualifications

The candidate should: - hold a PhD in mathematics and/or statistics and/or computer science, - have knowledge in the modeling of interaction data, for e.g. through graphs - be an expert in software developments in an efficient language (e.g. C/C++) - be fluent in English (written and spoken) - be interested in multidisciplinary projects, for e.g. in the analysis of interaction data coming from Ecology - demonstrate autonomy, rigor, critical thinking, and ability to integrate into an international team.

Languages

ENGLISH

Level

Excellent

Research Field

Mathematics » Statistics

Years of Research Experience

4 - 10
Additional Information

Website for additional job details

https:// cmatias.perso.math.cnrs.fr/Docs/AnnoncepostdocSparseHypergraphs.pdf

Work Location(s)

Number of offers available

1

Company/Institute

Sorbonne Université

Country

France

Geofield

Where to apply

E-mail

[email protected]

Contact

City

Paris

Website

https: // www. lpsm.paris/

Street

4, Place Jussieu

Postal Code

75005

E-Mail

[email protected]

STATUS: EXPIRED

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