PhD Scholarships in Bridging Chemistry: 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.
PhD Scholarships in Digital Synthesis and Catalysis Lab: Bridging Chemistry and Data Science
Study Area: Synthetic Chemistry, Data Science, Machine Learning
Location: University of Wuppertal, Germany
Eligibility/Qualification:
- Hold a Master’s degree in chemistry or a related field.
- Background in programming (ideally Python), data science, or machine learning is advantageous but not mandatory.
- Motivated and curious individuals eager to work in a highly interdisciplinary team.
Description: 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.
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.
Last Date: Application deadline: Summer 2024.
