Summary
The INM – Leibniz Institute for New Materials invites applications for several PhD student positions within the Data-Driven Materials Design group, focusing on innovative machine learning methods for modeling molecules and materials.
PhD Student Positions in Data-Driven Materials Design, Germany
Designation
PhD Student Positions (F/M/D)
Location
INM – Leibniz Institute for New Materials, Saarbrücken, Germany
Research Area
- Machine-learned interatomic potentials
- Active learning and data generation strategies
- Data-driven acceleration of atomistic simulations
- Machine learning methods for predicting molecular and materials properties
- Generative models for molecular and materials design
Eligibility/Qualification
| Requirement | Details |
|---|---|
| Degree | Master’s degree in computer science, applied mathematics, physics, chemistry, materials science, or a related field |
| Background | Experience in machine learning, computational chemistry, materials science, atomistic simulations, or scientific computing |
| Programming Skills | Proficiency in scientific programming (e.g., Python, PyTorch, or similar tools) |
| Interest | Passion for developing machine learning methods for modeling and predicting properties of molecules and materials |
| Language Proficiency | Excellent written and spoken English |
Job Description
- Conduct independent research in data-driven materials design.
- Develop and implement novel machine learning methods.
- Apply these methods to molecular and materials systems.
- Contribute to scientific publications and presentations at conferences.
- Collaborate with interdisciplinary researchers from materials science, chemistry, and machine learning.
How to Apply
Submit your application through the online application portal here. The application must include:
- Motivation letter
- CV
- Relevant certificates
- Names of 1–2 references
All documents should be compiled into a single PDF file (maximum 10 MB).
Last Date for Application
Applications will be reviewed continuously until the positions are filled.
This opportunity offers a unique chance to work in an interdisciplinary research environment and contribute to groundbreaking research in the field of materials design.
