Assistant Professor in Artificial Intelligence for Materials Science

1 maand geleden

Delft, Zuid-Holland, Nederland TU Delft Voltijd
Job Description

We are seeking an exceptional Assistant Professor to join our team at TU Delft, with a strong focus on integrating Artificial Intelligence (AI) into material science research and education.

This position offers the unique opportunity to lead groundbreaking research and shape the future of materials technology through AI-driven methodologies. The successful candidate will have research excellence in computer-based materials modeling applied to solve materials problems at the cutting edge, and a track record of AI applications in materials science, enabling one to bridge computations to experiments.

The position will be embedded in the Department of Radiation Science and Technology, where we are committed to advancing material science by fostering an interdisciplinary approach that merges traditional modeling techniques with modern AI technologies, and advanced experimental characterization.

We provide a collaborative environment equipped with state-of-the-art facilities and support for ambitious projects that push the boundaries of what's possible in material innovation.

Key Responsibilities

The successful candidate will be expected to:

  • Drive innovative research projects that leverage cutting-edge AI technologies such as deep learning, neural networks, and machine learning algorithms, combined with advanced modeling techniques to develop new materials and enhance material properties in ways that were previously unattainable.
  • Conduct research in AI-driven Material Discovery and Design, utilizing AI to predict and generate new (functional) materials with desired properties for use in industries.
  • Collaborate with experimental material science research groups, focusing on energy materials, and using extensively our neutron- and positron-based characterization methods.
  • Contribute towards our educational program at the bachelor and master level, developing and teaching courses on topics such as material sciences, programming, numerical methods, computational material science, or AI.

Requirements

The ideal candidate for this position should possess a Ph.D. in Material Science, Physics, Chemistry, Computer Science, or a closely related field, with a demonstrated expertise in artificial intelligence, machine learning, and computational atomistic and multiscale modeling as applied to material science.

Candidates should have a strong track record, showcasing significant contributions to the field of material science and technology. Additionally, proven experience in securing research funding and a commitment to innovative teaching at the university level are essential.

The ability to collaborate effectively within interdisciplinary teams and contribute to ongoing projects or lead new initiatives is also expected. Familiarity with the latest software and analytical tools in both AI and material science is crucial for success in this role.

What We Offer

This position is offered as an Academic Career Track position (0.8 – 1.0 FTE). During the Academic Career Track, we expect you to grow towards an Associate Professor position within a maximum of eight years, for which a position will be available.

We offer a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged and you can work partly from home.

For international applicants, TU Delft has the Coming to Delft Service, which offers personalised assistance during the preparation of the relocation, finding housing and schools for children (if applicable). In addition, a relocation package for partners is offered.

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