Computational synthesis and characterization of metal oxides Ph.D student (m/f/d) - Full-time /[...]

Pdi Berlin; Berlin; Vor Ort; EUR 42.000 - 49.000; Vollzeit

Zusammenfassung

Pdi Berlin offers a PhD opportunity focusing on computational materials science. The successful candidate will develop computational models related to metal oxide growth using hybrid molecular beam epitaxy, collaborating with experts from various scientific disciplines. This position will enhance your skills in DFT calculations, programming, and scientific communication within a vibrant research environment.

Leistungen

Unique theory/simulation capabilities

Modern laboratories with a wide range of experimental techniques

Supportive environment with experts

Subsidized travel ticket

Possibility to participate in professional development programs

Qualifikationen

• Preferential background in computational materials science.
• Experience with Density Functional Theory or molecular dynamics.
• Strong communication skills in English.

Aufgaben

• Develop computational models for H-MBE.
• Investigate nucleation and growth dynamics of metal oxides.
• Optimize material properties through computational insights.

Kenntnisse

Density Functional Theory (DFT)

molecular dynamics simulations

Programming (Python, MATLAB, C++)

communication skills (English)

Ausbildung

Bachelor’s and Master’s degrees in materials science, physics, or related field

Jobbeschreibung

About the position:

We are pleased to offer a PhD opportunity in the field of computational
materials science, with a focus on pioneering research in metal oxide
growth and dynamics by hybrid molecular beam epitaxy (H-MBE).
These materials are vital across multiple industrial sectors, including catalysis,
electronics, energy storage, and optical technologies, due to their versatile
and valuable properties. Mastery over these properties is crucial for advancing
performance and functionality in these applications. H-MBE presents significant
benefits over traditional MBE by enabling the high-quality growth of metal
oxides with exceptional control over both composition and structure.
Unlike conventional MBE, which typically involves simpler precursor systems,
H-MBE incorporates additional complexities such as organic precursors and
tailored growth conditions designed to optimize material properties.
Understanding these complexities requires a deep dive into the atomistic
mechanisms at play, where computational models are indispensable for
providing insights that are difficult to capture experimentally.

The aim of this PhD project:

Our aim with this project is to advance our understanding of H-MBE and its
application to metal oxides through sophisticated computational modeling
techniques. The project goals are:

• Develop and Apply Computational Models: Utilize existing Density
• Functional Theory (DFT) methods and create novel ReaxFF force fields
  to identify optimal precursor and uncover new chemistries, aiming to
  improve the quality of metal oxides fabricated via H-MBE.
• Model Nucleation and Growth Dynamics: Investigate the nucleation and
  growth dynamics of metal oxides to establish detailed links between
  synthesis parameters and material morphologies.
• Optimize H-MBE Grown Material Properties: Utilize computational insights
  to fine-tune the composition and structure of metal oxides, boosting their
  performance in diverse applications.

What we are looking for:

We are looking for a highly motivated PhD student to join our dynamic research
team. The successful candidate will collaborate closely with experts in Physics,
Materials Science, Chemistry and Mathematics to develop and refine tools and
models, advancing H-MBE technology and material science. If you are passionate
about computational materials science and eager to drive groundbreaking research,
we invite you to apply for this exciting opportunity.

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.
• Development of Novel Computational Tools: Develop and validate
  Reactive Force Field (ReaxFF) models, enhancing their accuracy and
  application in computational materials science.
• 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 degrees in materials science, 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.
  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 (typically,
  approximately 42,000 EUR annual basic salary plus a potential 2,000 EUR
  annual bonus).

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
• Subsidized travel ticket
• Possibility to participate in professional development programs

About PDI:

PDI is a globally recognized research institution specializing in the development of
novel functional materials through molecular beam epitaxy. Our work focuses on
both the fundamental physics and practical applications of functional hetero- and
nanostructures, superlattices, and custom-designed artificial materials. We place a
strong emphasis on exploring and leveraging their electronic and optical properties
for quantum technology applications. Additionally, we offer unique capabilities in
simulating the growth and characterization of novel materials using first-principles
and reactive potential approaches.

Inclusive & equal opportunity employer:

With approximately 100 employees and more than 15 nationalities, PDI is committed
to building a talented, inclusive, and culturally diverse workforce. We understand that
our shared future is guided by basic principles of fairness and mutual respect.
Among equally qualified applicants, preference will be given to candidates
from marginalized groups. As an equal opportunity and family-friendly
employer, we offer highly flexible employment conditions, such as flexible
working hours, parental leave, and home office, and we strive to create a
family- 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
  
  
  Application deadline: 10. August, 2025. For more information about the project, please contact Prof. Nadire Nayir –
  [e-mail].