PhD Position in Material Discovery: This scholarship provides the chance to engage in cutting-edge research at the intersection of machine learning and materials science. The selected candidate will explore novel methods in counterfactual reasoning to facilitate material discovery, contributing to advancements in high-throughput cell microscopy and 3D image reconstruction.
PhD Position in Counterfactual Reasoning for Material Discovery, Germany
Designation
PhD Position in Counterfactual Reasoning: Novel Machine Learning Methods for Material Discovery
Details
| Category | Details |
|---|---|
| Research Area | Counterfactual Reasoning, Machine Learning, Material Discovery |
| Location | Forschungszentrum Jülich, Germany |
| Eligibility/Qualification | Excellent Master’s degree in Computer Science, Physics, Mathematics, or a related field; focus on machine learning or AI. Strong analytical and programming skills (Python, C++). |
| Duration | Limited to three years, with a possible one-year extension |
| Salary | 75% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) plus Christmas bonus |
| Language Requirement | Very good English (German is a plus) |
Description
The successful candidate will:
- Review existing literature and collect relevant data.
- Design and implement counterfactual reasoning methods for interpretable material modifications
- Create generative models for material discovery that adhere to physical constraints.
- Present research at international conferences
- Supervise interns and student projects
The role offers an ideal environment for pursuing a doctoral degree, supported by world-class research facilities and the latest software technologies.
How to Apply
Interested candidates should submit the following items:
- Statement of research interests
- Curriculum Vitae (CV)
- Copies of degrees and transcript of records
- A copy or link to the Master thesis (or draft)
- Published articles or letters of recommendation (if applicable)
Applications should be submitted via the provided contact form on the official website.
Last Date to Apply
Applications will be accepted until the position is successfully filled. Prospective candidates are encouraged to apply as soon as possible.
For more details, visit HDS-LEE and Forschungszentrum Jülich.
