PhD student in Data-Driven Modeling of Amorphous Materials for Sustainable Catalysis
PhD student in Data-Driven Modeling of Amorphous Materials for Sustainable Catalysis
PhD student in Data-Driven Modeling of Amorphous Materials for Sustainable Catalysis
PhD student in Data-Driven Modeling of Amorphous Materials for Sustainable Catalysis
Empa
Forschung
Dübendorf
- Art der Beschäftigung: Vollzeit
- Vor Ort
PhD student in Data-Driven Modeling of Amorphous Materials for Sustainable Catalysis
Über diesen Job
PhD student in Data-Driven Modeling of Amorphous Materials for Sustainable Catalysis
Our
Laboratory for Computational Engineering
in Dübendorf is offering a position for two motivated doctoral students.
Your tasks
Amorphous materials play a key role in
sustainable catalysis and energy conversion
, but their disordered atomic structure makes them difficult to study and predict. In this four-year
SNF-funded project
, you will develop
data-driven, multiscale simulation methods
that combine
computer simulations, machine learning, and surrogate models
to explore how
local atomic structures influence material properties and catalytic behavior.
You will gain experience in
cutting-edge computational methods
, contribute to a
predictive understanding of disordered materials
, and work on applications such as
CO₂ conversion
, helping to advance sustainable chemical processes. Beyond learning, you will have the opportunity to
contribute to groundbreaking discoveries
and generate new scientific knowledge at the forefront of materials science, machine learning, and catalysis. This is an exciting opportunity to tackle a
fundamental scientific challenge
while developing skills that will shape your research career.
Your profile
We are looking for
2 highly motivated PhD students
with a strong analytical background and an MSc degree in
Physics, Computational Chemistry, Materials Science, Computer Science, or a related disciplines.
The candidates should have:
- A solid theoretical background in their field
- Strong programming skills and experience with numerical method s.
- Proven experience in machine learning and data-driven modelin g.
- Ability to work independently as well as collaboratively in an interdisciplinary team.
- Excellent command of English , both written and spoken.
- Previous experience in atomistic simulations and catalysis is an advantage.
Our offer
We offer a
stimulating, multidisciplinary research environment
within the ETH Domain, where communication and interaction to create synergies and develop novel ideas are highly valued. PhD students will have access to
state-of-the-art computational infrastructure
, benefit from i
nternationally competitive employment conditions
, and receive strong support for
personal and professional development
. The PhD students will be enrolled in the
ETH Zürich doctoral program
. The position is available from
April 1st 2026 or upon agreement.
We live a culture of inclusion and respect. We welcome all people who are interested in innovative, sustainable and meaningful activities.
We look forward to receiving your complete online application including a letter of motivation, CV, certificates, diplomas and contact details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered.
Patricia
Nitzsche
,
Stv. Leiterin Human Resources / Dep. Head Human Resources
