Research Fellow in Quantum Materials

vor 3 Wochen


Dresden, Sachsen, Deutschland Technische Universität Dresden Vollzeit
Position Overview:
Join the Faculty of Mechanical Science and Engineering at the Institute of Materials Science as a Research Associate / PhD Student. This role is designed for individuals aiming to enhance their academic qualifications, typically leading to a PhD. The position is initially limited to a defined term, with potential for extension, and supports a balance between professional and personal commitments, including part-time options.

Key Responsibilities:
  • Conduct research within the Collaborative Research Center CRC1415, focusing on the chemistry of synthetic 2D materials.
  • Utilize quantum mechanical (QM) methods alongside advanced machine learning (ML) techniques to analyze and predict the electronic and magnetic characteristics of 2D polymer building blocks.
  • Establish data-driven design principles to be integrated into generative AI frameworks aimed at creating innovative 2D polymers with specific QM properties for applications in catalysis and energy storage.
  • Collaborate closely with synthetic chemists to validate the synthesis of new materials, fostering an interdisciplinary research environment.
  • Perform extensive QM calculations using density functional theory and develop Python-based tools for data analysis.
  • Advance ML-driven computational workflows to investigate structure-property and property-property relationships.

Qualifications:
Candidates should possess a university degree (Master/Diploma) in physics, chemistry, materials science, engineering, or a related field.

Essential Skills:
  • Proficiency in quantum mechanical methods and machine learning approaches, including force field development and generative models.
  • Strong commitment to interdisciplinary collaboration, with the ability to work both independently and as part of a team.
  • Excellent communication and writing skills in English.
  • Experience with programming languages such as Fortran, Python, and frameworks like PyTorch is highly advantageous.
  • Prior computational experience in research involving organic molecules and materials is beneficial but not mandatory.

Diversity and Inclusion:
The institution is committed to increasing the representation of women in academia and research. Applications from candidates with disabilities are encouraged, and priority will be given to equally qualified candidates with disabilities in accordance with applicable regulations.

We look forward to receiving your application, which should include a detailed CV, a motivation letter, academic transcripts, and a recommendation letter from a research scientist.

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