Computationla Material Science
PDI is a research institute in Berlin, Germany. We perform basic and applied research at the nexus of materials science, condensed matter physics, and device engineering.
Diamond in a Drop: Modeling Low-Pressure Growth in Liquid Metals
Master Thesis Topic, Computational Material Science
Tasks
Why Diamond Matters
Diamond Isn’t Just for Jewelry — It’s the Future of Quantum Tech!
From quantum sensors to qubits, diamond’s unmatched properties — extreme hardness, biocompatibility radiation resistance, and record-breaking thermal conductivity — make it a
superstar material for next-gen technologies. But growing diamond sustainably, and at low
pressure, is a game-changer. This thesis explores how carbon atoms turn into diamonds in liquid metal systems, using atomistic simulations to uncover the atomic magic behind a process that could reshape the future of quantum materials.
Your Mission
- Study how carbon behaves in molten metal alloys (Ga–Fe–Ni–Si) at moderate temperatures and
atmospheric pressure. - Explore key factors (supersaturation, bonding, surface effects) that control the formation of diamond
(sp³) vs. graphite (sp²). - Provide theoretical insights to guide experimental efforts in low-pressure diamond synthesis with
liquid metal catalysts.
Expected Outcomes
- A validated atomistic simulation workflow for modeling carbon transport and nucleation in molten
metal systems. - Practical recommendations (a "growth recipe") for enhancing low-pressure, seed-free diamond
growth with liquid metal catalysts. - Potential contribution to a peer-reviewed publication and poster presentation on key findings.
Skills You’ll build - DFT Calculations: Learn to perform density functional theory calculations to analyze material
behaviors. - Molecular Dynamics Simulations: Gain hands-on experience running simulations to study atomic
and molecular dynamics. - Experience with Supercomputers: Utilize high-performance computing (HPC) systems to run
large-scale simulations - Scientific Communication: Develop the ability to present and publish your research findings in a
professional context. - Collaborative Research: Work in a collaborative environment that fosters teamwork and idea-
sharing.
Requirements
Your Profile
- Bachelor’s degree in materials science, physics, or a related field
- (Optional) Background in Programming skill using such as Python and familiarity with Linux/Unix
environments - Effective communication skills in english and a genuine enthusiasm for contributing to cutting-edge
research in the field of materials science.
What we offer
Opportunities and Benefits
- Unique theory/simulation capabilities
- Modern laboratories with a wide range of experimental techniques
- Supportive environment with experts for various scientific sub-fields
- International and culturally diverse community
- Location in the heart of Berlin with excellent public transport connections, a subsidized travel ticket
- Possibility to participate in professional development programs
How to apply
Nadire Nayir
nayir@pdi-berlin.de
+49 30 20377 243
Facts
| Number of employees | 100 |
|---|---|
| Category | Thesis |
| Location | Germany, Berlin, Mitte |
| Area of responsibility | Academia and research, Natural sciences, Physics, Research |
| Start date (earliest) | Earliest possible |
| Full/Part-time | Full-time |
| Remuneration | 13,90€/hour |
| Remote work | Not possible |
| Working language and expected level |
|
| Homepage | https://www.pdi-berlin.de/ |
| Career website | https://www.pdi-berlin.de/people/students/current-thesis-... |
Requirements
| Qualification | BSc |
|---|---|
| Field of study | Natural sciences and mathematics, Materials science, Physics |
Contact
| Title | Master Thesis Topic |
|---|---|
| Contact person | Erika Szegedy |
| Contact email | szegedy@pdi-berlin.de |
Apply
| Application deadline | 31.03.2026 |
|---|---|
| By email | nayir@pdi-berlin.de |