PhD in Simulations and Machine Learning: The Institute of Neuroscience and Medicine – Computational Biomedicine (INM-9) is offering a PhD position focused on the development of simulations and machine learning techniques to investigate molecular events in neuronal function. This exciting opportunity allows candidates to delve into enhanced sampling simulations and the molecular determinants of protein activation and allosteric regulation.
PhD Position in Simulations and Machine Learning Applied to Proteins
Designation
PhD Candidate
Research Area
Simulations and Machine Learning Applied to Proteins
Location
Institute of Neuroscience and Medicine – Computational Biomedicine (INM-9), Jülich, Germany
Eligibility/Qualification
- Excellent university degree (Master) in physics, chemistry, bioinformatics, applied mathematics, or computer science.
- Experience with UNIX-like operating systems.
- Proficient in mathematical and programming skills (Python, Machine Learning).
- Basic understanding of molecular forces and structures.
- Excellent written and oral English skills.
- Strong communication skills and ability to work in international teams.
- Ideal prior knowledge of molecular dynamics (MD) simulations.
Job Description
- Model and characterize molecular-level biological processes using classical molecular dynamics and enhanced sampling methods.
- Write and submit computational proposals for project resources.
- Engage with the international simulation community.
- Publish results in international journals and present at conferences.
How to Apply
Interested candidates can apply directly through the provided contact form on the organization’s website. Please note that applications via email will not be accepted.
Last Date to Apply
10th November 2025
For further details on the application process and FAQs, please refer to the official website.
