Computational Materials Scientist (f/m/d) Multiscale modeling of hydrogen interaction
ASML provides chipmakers with hardware, software and services to mass produce
patterns on silicon, helping to build the electronic devices that keep us informed,
entertained and connected. We’re a dynamic team of 28,000 people from 120
different nationalities and counting. Headquartered in Europe’s tech hub, the
Brainport Eindhoven region in the Netherlands, we have over 60 locations in 16
countries and annual net sales of €14.0 billion in 2020.
ASML is a leading manufacturer of lithography equipment. In the latest systems, light,
plasma and chemicals interact at surfaces. Optimizing processes requires a profound
understanding of materials science, surface chemistry, plasma-material interactions
and of photon induced processes. Since ASML works at cutting edge technology, a
lot of phenomena are very unique and have a first-of-a-kind character.
To strengthen the materials science competence, ASML Research is looking for a
computational materials scientist who can add value to the understanding of
materials degradation in the operating environment.
You will work in a multidisciplinary team of Chemists, Physicists, Materials Scientists,
Electrical and Mechanical Engineers.
You will bring multi-scale simulations into the big picture by ideating and developing
multi-scale modeling workflows which combine multiple models bridging time- and
length-scales (DFT, MD, CFD, FEM, FD), identifying the existing conceptual and
methodological gaps required to develop these workflows, and proposing innovative
solutions to move forward.
You have demonstrated experience with modeling of impurities in materials and in
particular hydrogen-related diffusion and mechanical phenomena. Furthermore, you
play a key role in implementing and supporting a state-of-the-art infrastructure for
Based on high-level problem descriptions you define hypotheses on underlying
mechanisms governing the behaviors observed from experimental measurements,
set up elaborate models to verify the validity of such hypotheses, provide
fundamental understanding and translate the results of the simulations into
thermodynamic and kinetic equations that can be used to describe the behavior of
the system at the material and component level, thereby suggesting design rules to
improve product performance.
Your job requires hands-on simulation/modeling of actual systems and problems with
required software tools.
On the other hand, you have to proactively extend an existing network of commercial
and academic partners to a chemistry and materials modeling ecosystem that
guarantees the access of ASML to state-of-the-art developments and techniques in
University PhD degree in Computational Materials Science/Multiscale Materials
Modeling with a strong focus on materials mechanics, crystal plasticity, materials
failure, embrittlement, mass transport and diffusion phenomena in materials, and
coupling of thereof.
Ability to design original multiscale strategies by combining discrete and continuum
methods bridging time- and length-scales, and implement them into functional
modeling workflows give you a head start. Ideally, you also have experience with
Materials Informatics and High-Throughput simulations.
Relevant experience of more than 7 years after PhD and a broad knowledge of
various modeling techniques are essential.
Demonstrated experience in computational materials science and multiscale
modeling of materials. Working knowledge in designing and performing
computational simulations linking classical or quantum atomistic methods for the
material simulation to higher-level continuum methods, to predict the impact of the
microstructure on the meso- and macro-scale behavior at the material and
Understanding of equilibrium thermodynamics and equations-of-states, and
preferentially of advanced related topics such as non-equilibrium thermodynamics.
Ideally you are familiar with the theory of activated complexes/transition state theory
and chemical kinetics, and know how to perform model reduction to condense the
complex results of the multiscale simulations into simple rate equations or models
useful for the description of experiments in laboratory equipment and machines.
Broad knowledge in materials behavior and phase transformations and/or chemical
kinetics at different time and length scales. Experience in running computational
chemistry, or materials science software tools based on atomistic methods such as
molecular dynamics, and in linking the calculated observables to higher-level
computational models using finite elements or finite difference methods, the
simulations of which are performed using either commercial or in-house software
Understanding and modeling of mass transport behavior and associated
thermomechanical stability of complex materials and composites against external
stress factors such as temperature, chemical reactions, grain boundaries, interfaces,
Knowledge of reactive and diffusion processes in materials and interfaces involving
contaminants/impurities and gas phase species including radicals and ions. Basic
knowledge on plasma processes is welcome.
Experience in modeling hydrogen diffusion and interaction in complex, highlystructured
materials, and plasma-related chemistry gives you a head start.
Knowledge of machine learning/materials informatics is a plus.
Open to learning techniques outside of the above mentioned fields in the future.
Proactive and autonomous while driving to success in a highly skilled team of experts
towards a common goal.
Pragmatic attitude with an analytical view.
Able to see the big picture and create a vision and have perseverance in realizing it.
Context of the position
The Research Materials Science andChemistry group is part of the Research
department of ASML. This group identifies and fills in technological gaps in the future
roadmap of lithography and the lithography market. Our focus is on advanced
material research and on the interaction of light (13.5 nm) with the gaseous
background in our tools and on solid materials. We work in small teams and deliver
solutions that can be transferred to Development and Engineering. We work together
with external research institutes and universities.
This position may require access to controlled technology, as defined in the Export
Administration Regulations (15 C.F.R. §730, et seq.). Qualified candidates must be
legally authorized to access such controlled technology prior to beginning work.
Business demands may require ASML to proceed with candidates who are
immediately eligible to access controlled technology.