M/W postdoctoral position in large-scale molecular simulations, machine learning, and statistical mechanics

Université de Lorraine, France

Updated: 20 days ago
Location: Vand uvre les Nancy, LORRAINE
Job Type: FullTime
Deadline: 14 May 2024

10 Apr 2024
Job Information
Organisation/Company

Université de Lorraine
Department

UMR 7019
Research Field

Physics » Biophysics
Researcher Profile

Recognised Researcher (R2)
Country

France
Application Deadline

14 May 2024 - 23:59 (Europe/Paris)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

35
Offer Starting Date

15 May 2024
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

We are looking for a highly motivated and talented postdoctoral candidate with interests in molecular simulations, machine learning, and statistical mechanics for research opportunities in:
    • Development of data-driven schemes for the discovery of slow degrees of freedom
    • Molecular simulations of complex mechanisms in large biological objects
    • Computational modeling of transition pathways in high-dimensional systems

Prior experience in computer programming, machine learning algorithms, and molecular simulations of biological systems is highly desirable, but not necessary. A strong background in physical sciences, especially in statistical mechanics is required.


Requirements
Research Field
Physics » Biophysics
Education Level
PhD or equivalent

Skills/Qualifications

We are seeking a highly motivated and talented postdoctoral candidate interested in molecular simulations, machine learning, and statistical mechanics to conduct research in the following areas:

  • Development of data-driven schemes for the discovery of transition pathways.

  • Quantum-mechanical and/or molecular-mechanical calculations.

  • Computational modeling of transition pathways in high-dimensional systems.

    • Prior experience in computer programming, machine learning algorithms, and quantum-mechanical and/or molecular-mechanical calculations is highly desirable, albeit not absolutely necessary. A strong background in physical sciences, possibly in applied mathematics, is required.


    Languages
    ENGLISH
    Level
    Excellent

    Research Field
    Physics » Biophysics
    Years of Research Experience
    1 - 4

    Additional Information
    Work Location(s)
    Number of offers available
    1
    Company/Institute
    Université de Lorraine
    Country
    France
    State/Province
    Lorraine
    City
    Vandœuvre-lès-Nancy
    Postal Code
    54500
    Street
    Boulevard des Aiguillettes
    Geofield


    Where to apply
    E-mail

    [email protected]

    Contact
    State/Province

    Lorraine
    City

    Vandœuvre-lès-Nancy
    Website

    https://www.lia-uiuc.cnrs.fr/index.php
    Street

    Boulevard des Aiguillettes
    Postal Code

    54500
    E-Mail

    [email protected]

    STATUS: EXPIRED

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