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ETEtat de Fribourg - Staat Freiburg

Professor of Data-Driven Materials Discovery(m/w/x)

Freiburg
Full-timeOn-siteExperienced
AI/ML
Data Science

Designing experiments and applying ML models for soft materials discovery. Exceptional international research excellence in computational soft materials discovery required. Generous start-up package, outstanding infrastructure.

Requirements

  • Exceptional track record of international research excellence in computational soft materials discovery
  • Research programme encompassing AI-driven materials discovery in soft matter science
  • Alignment with research strategy emphasizing soft nanomaterials and bioinspiration
  • Interest in combining fundamental and application-oriented research for technology transfer
  • Preferred application fields: Health and Food, Sustainable and Circular Materials, Materials with Emerging Functions

Tasks

  • Design and conduct experiments in materials science
  • Analyze data to discover new materials
  • Develop and apply machine learning models
  • Publish research findings in scientific journals
  • Collaborate with interdisciplinary research teams
  • Supervise graduate and undergraduate students
  • Teach courses in materials science and data analysis
  • Secure funding through grants and research proposals
  • Present research at national and international conferences
  • Contribute to the development of new materials technologies

Work Experience

  • approx. 1 - 4 years

Education

  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • artificial-intelligence-driven materials discovery methods

Benefits

Other Benefits

  • Highly competitive working conditions
  • Generous start-up package

Modern Office

  • Outstanding infrastructure

Additional Allowances

  • Generous discretionary research funds
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