PhD Position in Simulations and Machine Learning: The Institute of Neuroscience and Medicine – Computational Biomedicine (INM-9) offers an exciting PhD opportunity focused on utilizing high-performance computing and machine learning techniques to investigate protein activities relevant to neuronal functions. This position aims to enhance the understanding of protein activation and allosteric regulation through advanced simulation methods.
PhD Position in Simulations and Machine Learning Applied to Proteins
Designation
PhD Candidate
Research Area
- Machine Learning
- Molecular Dynamics Simulations
- Computational Biomedicine
Location
Institute of Neuroscience and Medicine – Computational Biomedicine (INM-9), Research Center Jülich, Germany
Eligibility/Qualification
- A Master’s degree in physics, chemistry, bioinformatics, applied mathematics, or computer science.
- Experience with UNIX-like operating systems.
- Mathematical and programming skills, particularly in Python and machine learning.
- Basic understanding of molecular forces and structures.
- Excellent written and oral English communication skills.
- Ability to work effectively in international teams.
- Ideal prior knowledge of molecular dynamics (MD) simulations.
Job Description
- Perform modeling and characterization at the molecular level of selected biological processes using classical molecular dynamics and enhanced sampling methods.
- Develop deep learning models to guide enhanced sampling simulations.
- Write and submit computational proposals for necessary resources to advance the project.
- Engage in the international simulation community.
- Publish results in international journals and present findings at conferences.
How to Apply
Interested candidates should visit the application page for more information and to submit their application. Note that applications cannot be accepted via email for technical reasons.
Last Date for Application
November 10, 2025
