Post-doctoral or research engineer proposal, ocean model optimisation (M/F)

CNRS, France

Updated: about 2 months ago
Location: Paris 05, LE DE FRANCE
Job Type: FullTime
Deadline: 26 Mar 2025

6 Mar 2025
Job Information
Organisation/Company

CNRS
Department

Laboratoire d'océanographie et du climat : expérimentations et approches numériques
Research Field

Computer science
Mathematics » Algorithms
Researcher Profile

First Stage Researcher (R1)
Country

France
Application Deadline

26 Mar 2025 - 23:59 (UTC)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

35
Offer Starting Date

1 Apr 2025
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The ocean model, NEMO has been designed to run in double precision, i.e. using 64-bit floating-point numbers. Using lower precision can be beneficial in terms of performance by reducing memory usage, execution time (by two) and energy consumption. However, lower precision can also increase numerical instabilities. The main objective of this project is to automatically identify and control sources of instabilities when running NEMO in single precision.
To support this, the plan is to use the CADNA library [1, 2] which relies on Discrete Stochas- tic Arithmetic [3] to estimate rounding errors in numerical codes and detect numerical insta- bilities that may occur during their execution. The CADNA library will be used to control
1
the numerical quality of the results computed by NEMO and point out the possible numer- ical instabilities. By leveraging CADNA, we will automatically identify instability sources and try to fix/bypass them by combining our expertise on NEMO algorithms with CADNA developers' knowledge of numerical precision/instabilities. Different physical configurations of NEMO, either local or global, will be studied. We also plan to optimize the threshold values in NEMO, taking into account the various precisions used.

- Implementation and use of the CADNA library in the NEMO code
- Using CADNA to identify numerical stability problems in NEMO in single precision in a series of simplified test cases
- Resolution of the numerical instabilities identified by modifying the algorithms using a combination of computer/mathematical/physical solutions
- Repetition of the sequence Identification/resolution of numerical instabilities in increasingly complex numerical simulations of the ocean, up to simulations of the global ocean including sea ice.

Position in the LIP6 laboratory (PEQUAN team: Performance and Quality of Numerical Algorithms) in collaboration with LOCEAN (NEMO R&D team). Both laboratories are located on the Pierre and Marie Curie campus at Sorbonne University.


Where to apply
Website
https://emploi.cnrs.fr/Candidat/Offre/UMR7159-SEBMAS-002/Candidater.aspx

Requirements
Research Field
Computer science
Education Level
PhD or equivalent

Research Field
Mathematics
Education Level
PhD or equivalent

Languages
FRENCH
Level
Basic

Research Field
Computer science
Years of Research Experience
None

Research Field
Mathematics » Algorithms
Years of Research Experience
None

Additional Information
Eligibility criteria

Candidates must have a PhD in Computer Science, Applied Physics, Applied Mathematics or other relevant fields, with both good programming skills and good knowledge in numerical algorithms.


Website for additional job details

https://emploi.cnrs.fr/Offres/CDD/UMR7159-SEBMAS-002/Default.aspx

Work Location(s)
Number of offers available
1
Company/Institute
Laboratoire d'océanographie et du climat : expérimentations et approches numériques
Country
France
City
PARIS 05
Geofield


Contact
City

PARIS 05
Website

http://www.locean.ipsl.fr

STATUS: EXPIRED

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