Job
- Level
- Experienced
- Location
- Munich
- Working Model
- Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
Job Technologies
Your role in the team
- The successful applicant will work on molecular dynamics simulations, where molecular interactions are predicted by neural network potentials.
- These state-of-the-art neural network models promise simulations at unprecedented accuracy, giving quantitative insight into physical processes at the nanoscale.
- The candidate will develop the next generation of neural network potentials and apply them to problems from different scientific fields, ranging from life sciences to engineering.
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Our expectations of you
Education
- M.Sc. degree in informatics, physics, chemistry, or engineering (candidates who will soon obtain the degree are also welcome to apply).
Qualifications
- Strong background in machine learning.
- Proficiency in Python programming.
- Fluent in spoken and written English (knowledge of German is beneficial but not required).
Experience
- Experience with molecular simulations and knowledge of statistical physics is beneficial.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Higher Take-Home Pay
Topics You Will Work On
Job Locations
About Your Employer
TU München
The Munich School for Robotics and Machine Intelligence (MSRM) at the Technical University of Munich is looking for outstanding candidates for postdoctoral positions under the supervision of Prof. Sami Haddadin.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Education System
PhD position in Machine Learning for Molecular Simulations
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
