31 Jan 2025
Job Information
- Organisation/Company
ESSEC Business School- Research Field
Mathematics » Statistics- Researcher Profile
First Stage Researcher (R1)- Positions
PhD Positions- Country
France- Application Deadline
3 Mar 2025 - 23:30 (Europe/Paris)- Type of Contract
Temporary- Job Status
Full-time- Offer Starting Date
1 Sep 2025- Is the job funded through the EU Research Framework Programme?
Horizon Europe (other)- Reference Number
UMCMC- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
The ERC Consolidator project "UMCMC" led by Pierre Jacob develops Markov chain Monte Carlo (MCMC) methods, where Markov chains are generated to approximate a probability distribution of interest. The project builds upon a framework called Unbiased Markov chain Monte Carlo (UMCMC), based on couplings of Markov chains, and motivated by the parallel nature of modern computing architectures. This project develops UMCMC to realize its potential as a comprehensive basis for probabilistic computation on modern hardware. This requires theoretical and methodological advances.
Broadly the project relates to Statistics, Probability, Monte Carlo, numerical methods, Stochastic Processes, Markov Chains, Couplings, Optimal Transport, Robust Statistics, Differential Geometry and Reinforcement Learning.
The successful applicant will be part of a team led by the principal investigator. There will also be postdoctoral researchers and other PhD students. The applicant will participate in all aspects of the scientific activities related to the project, including the writing of articles to be submitted to the top journals in the field of statistics, interaction with international collaborators, the possibility of extended visits abroad, participation in conferences, etc.
This position will be based in Cergy (France), near Paris. The successful applicant will join a dynamic environment of researchers and teachers in statistics at ESSEC Business School, with regular research seminars and teaching opportunities. The applicant will benefit from the vibrant research environment of the wider Paris region, with many universities and schools.
Where to apply
- Website
- https://job.essec.edu/jobs/5494066-doctorant-en-statistiques-mathematiques-et-c…
Requirements
- Research Field
- Mathematics » Statistics
- Education Level
- Master Degree or equivalent
Skills/Qualifications
We are looking for highly talented, highly motivated applicants with a strong background in mathematics, particularly in probability and statistics, and an interest in theory, methods and computation. A master degree in mathematics, or an equivalent degree, is required. Excellent verbal and written communications skills in English are required.
Specific Requirements
strong foundations in mathematics, statistics or related fields
- Languages
- ENGLISH
- Level
- Excellent
- Research Field
- Mathematics » Statistics
Additional Information
Eligibility criteria
Candidates can be from any nationality. Equal opportunity and diversity for all applicants.
In accordance with the AGE hiring policy promoting diversity, this position is accessible to people with disabilities.
Additional comments
Founded in 1907, ESSEC Business School has never ceased to innovate in anticipation of future challenges. For more than a century, the school has distinguished itself through its humanist approach. This pioneering mindset has been at the heart of ESSEC's identity from its founding and remains the guiding principle of its century-old heritage.
ESSEC strives for an institutional culture that favors the creation of high-quality research.We encourage diversity and experimentation, with all functional areas represented in our faculty, and inclusive of disciplines such as sociology, psychology, applied mathematics, medicine, law, and urban planning. The resources available to ESSEC researchers encourage them to produce impactful, high-quality research that is widely shared with diverse audiences nationally and internationally.
ESSEC BUSINESS SCHOOL received the HR Excellence in Research award.
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- ESSEC BUSINESS SCHOOL
- Country
- France
- City
- cergy pontoise
- Postal Code
- 95000
- Geofield
Contact
- City
Cergy- Website
https://www.essec.edu/fr/- Street
3 Avenue Bernard Hirsch- Postal Code
95021
pierre.jacob@essec.edu
STATUS: EXPIRED
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