Scegli la tua regione

Seleziona la regione che meglio si adatta alla tua posizione o alle tue preferenze.

Scegli la lingua del sito

Questa impostazione controlla la lingua dell'interfaccia utente, inclusi i pulsanti, i menu e tutto il testo del sito. Seleziona la tua lingua preferita per la migliore esperienza di navigazione.

Scegli le lingue per gli annunci di lavoro

Seleziona le lingue per gli annunci di lavoro che desideri vedere. Questa impostazione determina quali annunci di lavoro ti verranno mostrati.

PhD Position in AI for Materials Modeling
ETH Zürich

PhD Position in AI for Materials Modeling

Non specificato
Salva lavoro

Informazioni sul datore di lavoro

ETH Zürich is well known for its excellent education, ground-breaking fundamental research and for implementing its results directly into practice.

Visita la pagina del datore di lavoro

PhD Position in AI for Materials Modeling

The Materials Modeling Group, established in February 2026 and led by Prof. Malik Wagih in the Department of Materials at ETH Zurich, invites applications for a PhD position at the intersection of artificial intelligence, atomistic simulation, and materials science, starting in September 2026 or by mutual agreement.

Our group develops computational methods to accelerate the discovery and design of structural alloys through defect engineering, with a particular focus on materials for extreme environments, including fusion energy and space applications. Our research combines theory, physics-based simulation, and machine learning. 

Job description

  • The PhD project will develop machine-learning methods for atomistic materials modeling
  • Possible research directions include machine-learned interatomic potentials, physics-informed machine learning, and generative models. The specific research question will be shaped jointly with the successful candidate

The successful candidate will join as one of the group’s first doctoral students and will have the opportunity to help shape its research culture and scientific direction.

Profile

  • A Master's degree, or expected completion before the position begins, in materials science, physics, engineering, computer science, applied mathematics, or a related field
  • Proficiency in programming and scientific computing
  • Strong interest in developing or applying artificial intelligence methods to problems in the physical sciences
  • Prior experience or coursework in machine learning, density functional theory, or molecular dynamics is advantageous
  • Effective communication skills in English

We offer

  • Fully funded position with competitive salary according to ETH standards
  • Access to state-of-the-art computational infrastructure
  • Interdisciplinary and international research environment
Working, teaching and research at ETH Zurich

We value diversity and sustainability

In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate-neutral future.

Curious? So are we.

We look forward to receiving your online application with the following documents (in PDF format) by July 15th 2026:

  • Curriculum vitae
  • Contact information for at least two referees 
  • Academic transcripts in English from all degrees (unofficial copies accepted)
  • A one-page statement describing the three achievements you are most proud of, why they matter, and what they demonstrate about your suitability for this position.

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

For further information about the position, please contact Prof. Malik Wagih at [email protected] (no applications).

Applications will be reviewed on a rolling basis until the position is filled. 

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

Dettagli del lavoro

Titolo
PhD Position in AI for Materials Modeling
Datore di lavoro
Sede
Rämistrasse 101 Zurigo, Svizzera
Pubblicato
2026-06-19
Scadenza candidatura
Non specificato
Tipo di lavoro
Salva lavoro

Jobs from this employer

Mostrando lavori in Inglese, Italiano Modifica impostazioni

Informazioni sul datore di lavoro

ETH Zürich is well known for its excellent education, ground-breaking fundamental research and for implementing its results directly into practice.

Visita la pagina del datore di lavoro

Questo potrebbe interessarti

...
Using AI to accelerate recycling OFFIS 4 min. di lettura
...
Why KTH Is the Ideal Place to Shape the Future Through Your Work KTH Royal Institute of Technology 5 min. di lettura
...
Bringing Artificial Intelligence Into the Real World Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) 4 min. di lettura
Altre storie