PhD position: Exploring new machine learning and optimization approaches for materials science

PhD position: Exploring new machine learning and optimization approaches for materials science

Published Deadline Location
7 Nov 7 Jan Delft

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Job description

At the TU Delft, we are using state-of-the-art machine learning methods to create new materials with practical relevance. These methods help uncover new designs and properties. This research aims at exploring recent A.I. methods and potentially develop new ones that can assist our research group in discovering new materials and structures.

As a PhD researcher you will be working on: (1) finite element simulations for a problem of interest; and (2) new machine learning methods.  We encourage originality and value independent thinking.

Specifications

Delft University of Technology (TU Delft)

Requirements

Applicants should be interested in working with machine learning algorithms and have a strong interest in the development of new methods. The ideal candidate has:

  • strong background in engineering, physics or mathematics
  • demonstrated interest in computational analysis
  • willingness to work as a team

It is considered a plus if the candidate has simulation experience (Finite Element Method, Density Functional Theory, or Molecular Dynamics) and/or experience with one or more machine learning or optimization techniques (machine/deep learning, genetic optimization, Bayesian optimization, etc.)
We are looking for a candidate with high intellectual ability and creativity. We favor diversity and encourage every individual who resonates with the job description to apply for this position.

Conditions of employment

Fixed-term contract: Temporary, 4 years.

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information.

Employer

Technische Universiteit Delft

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Department

Faculty Mechanical, Maritime and Materials Engineering

The 3mE Faculty trains committed engineering students, PhD candidates and post-doctoral researchers in ground breaking scientific research in the fields of mechanical, maritime and materials engineering. 3mE is the epitome of a dynamic, innovative faculty, that contributes to demonstrable economic and social benefits.

The Department of Materials Science (MSE) focuses on developing knowledge and methods for creating new materials by finding synergies among experimental, analytical and computational approaches. The vacant position is in the field of Computational Mechanics and Materials Science, within the research group led by Miguel Bessa.

Specifications

  • PhD
  • Engineering
  • max. 38 hours per week
  • €2325—€2972 per month
  • University graduate
  • 3mE19-91

Employer

Delft University of Technology (TU Delft)

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Location

Mekelweg 2, 2628 CD, Delft

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