M/W postdoctoral position in large-scale molecular simulations, machine learning, and statistical mechanics
12 Feb 2024
Job Information
- Organisation/Company
Université de Lorraine- Department
Laboratoire de Physique et Chimie Théoriques- Research Field
Physics » Statistical physics
Chemistry » Physical chemistry
Chemistry » Computational chemistry- Researcher Profile
Recognised Researcher (R2)- Country
France- Application Deadline
31 Mar 2024 - 23:59 (Europe/Paris)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
35- Offer Starting Date
1 Dec 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 » Statistical physics
- Education Level
- PhD or equivalent
- Research Field
- Physics
- Education Level
- PhD or equivalent
- Languages
- ENGLISH
- Level
- Good
- Research Field
- Physics » Statistical physics
- Years of Research Experience
- 1 - 4
- Research Field
- Chemistry » Physical chemistry
- Years of Research Experience
- 1 - 4
- Research Field
- Chemistry » Computational chemistry
- Years of Research Experience
- 1 - 4
Additional Information
Eligibility criteria
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.
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Laboratoire de Physique et Chimie Théoriques, Université de Lorraine
- Country
- France
- City
- Vandoeuvre-les-Nancy
- Postal Code
- 70239
- Geofield
Where to apply
[email protected]
Contact
- City
Vandoeuvre-les-Nancy- Postal Code
70239
[email protected]
STATUS: EXPIRED
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