• Description:

    The Digital Synthesis and Catalysis Lab is offering two fully-funded PhD student positions at the University of Wuppertal, Germany, to explore the synergy between synthetic chemistry, data science, and machine learning. If you hold a Master’s degree in chemistry or a related field and are excited about interdisciplinary research, this is your chance to contribute to cutting-edge projects and develop novel digital tools for the synthetic chemistry lab.

    Join our dynamic and interdisciplinary team at the Digital Synthesis and Catalysis Lab, where we’re pushing the boundaries of traditional chemistry by integrating data science and machine learning. As a PhD student, you’ll have the opportunity to delve into cutting-edge research projects at the interface of organic chemistry, lab automation, and machine learning. We’re seeking individuals who are enthusiastic about exploring new frontiers in science, developing cross-disciplinary skills, and contributing to the development of innovative digital tools for synthetic chemistry.

    Qualifications 

    1. Hold a Master’s degree in chemistry or a related field.
    2. Background in programming (ideally Python), data science, or machine learning is advantageous but not mandatory.
    3. Motivated and curious individuals eager to work in a highly interdisciplinary team.

    How to Apply:

    Interested candidates should submit the following documents:

    • Cover letter expressing interest and motivation.
    • Curriculum vitae (CV).
    • Copies of academic transcripts.
    • Contact details of two referees.
    • Please send your application materials via email to Felix Strieth-Kalthoff at felix@uni-wuppertal.de.

     

  • Fields

    • Chemistry

  • Qualifications

    • Master

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