Postdoctoral Researcher in Atomistic Machine Learning

vor 4 Wochen

Munich, Bayern, Deutschland Technical University of Munich Vollzeit
Job Title: Postdoctoral Researcher in Atomistic Machine Learning

We are seeking a highly motivated Postdoctoral Researcher to join our AI-Based Materials Science group at the Technical University of Munich. The successful candidate will have a strong background in computational physics, chemistry, or materials science, and experience in machine learning applications.

Job Summary:

The Postdoctoral Researcher will work on developing and applying machine learning techniques for atomistic problems in materials science. This includes building, maintaining, and applying machine learning models for materials simulations, as well as carrying out electronic structure theory calculations to generate data for machine learning.

Responsibilities:
  • Develop and apply machine learning techniques for atomistic materials science
  • Build, maintain, and apply machine learning models for materials simulations
  • Carry out electronic structure theory calculations to generate data for machine learning
  • Manage large-scale supercomputer simulations alongside AI algorithms and data analytics tools
  • Lead machine-learning software development and supervise team members
Requirements:
  • PhD in computational physics, chemistry, or materials science
  • Experience in machine learning applications
  • Strong programming skills in languages such as Python or C++
  • Excellent communication and teamwork skills
What We Offer:

As a member of our AI-Based Materials Science group, you will have the opportunity to work with a talented team of researchers and developers on cutting-edge projects in materials science and machine learning. You will also have access to state-of-the-art computational resources and a vibrant community of researchers and students at the Technical University of Munich.

We offer a competitive salary and benefits package, as well as opportunities for professional development and growth. If you are a motivated and talented researcher with a passion for machine learning and materials science, we encourage you to apply for this exciting opportunity.

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