Phd Student

vor 4 Monaten

Berlin, Deutschland Paul Drude Institut Berlin Vollzeit

**About the position**
PhD-Student (M/F/d) - Computational design of advanced hybrid group III-V compounds

This project will center on employing Density Functional Theory (DFT) and Reactive Force Field (ReaxFF) methods to investigate the molecular beam epitaxy growth and characterization of group III alloys, e.g. Al, Ga, In, and Sc, and their respective group V compounds

Project aims to:
Establish correlations between synthesis parameters and fundamental solid-state phenomena in group III alloys and their group V compounds.

Develop innovative computational methods for stabilizing energetically unfavorable phases.
- Identify and design new materials with optimized optical, electrical, and structural properties.

For more information about the project, please contact Prof. Nadire Nayir

**What cutting-edge skills will you master with us?**
Join our vibrant research team and seize the opportunity to develop your skills and become proficient with:
**DFT Calculations**:
Conduct periodic and non-periodic Density Functional Theory (DFT) calculations to explore the thermodynamic and kinetic properties of advanced hybrid materials.

**ReaxFF Force Fields**:
**Large scale Atomistic Simulations**:
Implement ReaxFF force fields in large-scale atomistic simulations to predict material behavior under various conditions.

**Data Management and Collaboration**:
Analyze simulation results to gain insights for experimental research. Collaborate closely with PDI experimentalists to validate and complement computational findings, integrating data-driven approaches to enhance the accuracy and depth of your analysis.

**Scientific Communication**:
Present your research at conferences and contribute to scientific publications, advancing knowledge in the field.

**Team Participation**:
Engage actively in group meetings and discussions, fostering a collaborative and productive research environment.

**Your profile**
- Bachelor’s and Master’s degree in materials science, chemistry, physics or a related field
- Preferential Background in computational materials science with experience in Density Functional Theory (DFT) and/or molecular dynamics simulations
- Background in Programming skill using such as Python, MATLAB, or C++, and familiarity with Linux/Unix environments and high-performance computing (HPC) systems is advantageous
- Effective communication skills, both written and verbal in english, are essential for presenting research findings and collaborating with team members.
- A genuine enthusiasm for contributing to cutting-edge research in the field of materials science.
- A self-motivated personality with a strong curiosity for working in a multi-disciplinary team environment on scientifically challenging problems. Team-oriented with the ability to collaborate effectively with others.

**What we offer**
- 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

**Position and salary**
This position is available immediately and is limited to a 3-year period initially with the perspective of a 1-year extension.

Salary and benefits are according to the Treaty for German public service (TVöD Bund) to a level of E13 with 75% working time. An annual basic salary plus and annual bonuses based on TVöD Bund are possible.

**About PDI**
PDI is a globally recognized research institution specializing in the development of novel functional materials through molecular beam epitaxy.

**Inclusive & equal opportunity employer**
- and life-conscious working environment.

**How to apply**

Your documents should include
- a dedicated cover letter
- CV
- diploma(s) and transcript(s)
- publication list (if present)
- contact information of two references

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