Postdoctoral Position – Methods Development, CNRS CHIMIE PARISTECH – PSL UMR, France

PhD Open Position in Organic Chemistry, CNRS, France

Postdoctoral Position – Methods Development: We are seeking a highly motivated and skilled individual to join our team for a postdoctoral position focusing on the development of automated methods for transition state search. The successful candidate will work at the interface of computational chemistry and machine learning, contributing to an exciting project at the Institute of Chemistry for Life Sciences and Health (iCLeHS).

Postdoctoral Position – Automated Transition State Search Methods Development

Designation:

  • Postdoctoral Researcher (M/F) – Automated Transition State Search Methods Development
  • Reference: UMR8060-THISTU-001

Table:

InformationDetails
Number of Positions1
LocationParis 05
Contract TypeFixed-term Scientific (CDD Scientifique)
Contract Duration22 months
Expected Start DateNovember 1, 2024
WorkloadFull-time
RemunerationBetween €3081 and €4292 gross monthly depending on experience
Desired Educational LevelLevel 8 – (Doctorate)
Desired ExperienceNot specified
CN SectionsPhysical, Theoretical, and Analytical Chemistry

Research Area:

The work offered may be situated at the interface between computational chemistry and ML, aiming to continue the development of the TS-tools code for automated reaction profile calculation.

Location:

The position is based in Paris at the Institute of Chemistry for Life Sciences and Health (iCLeHS) – CNRS CHIMIE PARISTECH – PSL UMR 8060.

Eligibility/Qualification:

  • Educational Level: Doctorate (Level 8)
  • Experience: A strong background in computational chemistry, particularly in Density Functional Theory (DFT), confirmed programming experience in Python, and at least a basic understanding of machine learning.

Job Description:

The successful candidate will be involved in the development of new functionalities to detect and characterize unexpected reaction intermediates, efficient approaches to consider explicit solvation, construction of an interface between TS-tools and machine learning potentials, implementation of predictive tools, and modeling of chemical reactivity using DFT approaches. Additionally, the application of predictive tools to estimate the activation energy associated with a considered reaction will be explored.

How to Apply:

Ensure your candidate profile is correctly completed before applying.

Last Date for Apply:

Tuesday, September 24, 2024, 23:59:00 Paris time

This opportunity provides an ideal environment and exciting challenges for a motivated individual to contribute to cutting-edge research in computational chemistry and machine learning. Join our team and be a part of our ambitious and collaborative project at iCLeHS in Paris.

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