Germany – PhD in Automation & Machine Learning at Bergische Universität Wuppertal

PhDFinder; Wuppertal; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading German university is offering a fully funded PhD opportunity in Wuppertal. The successful candidate will develop digital workflows for laboratory automation, focusing on machine learning and data analysis. Applicants should hold a Master's degree in chemistry or a related field and possess programming skills, particularly in Python. This position is ideal for those eager to contribute to groundbreaking research in chemistry and data science.

Qualifikationen

• Hold a Master’s degree in chemistry or a related discipline.
• Have experience in programming (preferably Python), data science, or machine learning.
• Demonstrate a strong motivation and curiosity for interdisciplinary research.
• Are eager to contribute to the development of digital tools for laboratory automation.
• Possess excellent communication skills and the ability to work collaboratively in a diverse team.

Aufgaben

• Develop digital workflows for high-throughput laboratory experimentation.
• Integrate automation and machine learning to interpret experimental data.
• Work closely with team members to automate data generation applications.

Kenntnisse

Programming (preferably Python)

Data science

Machine learning

Interdisciplinary research

Communication skills

Ausbildung

Master's degree in chemistry or related discipline

Jobbeschreibung

Overview

University: Bergische Universität Wuppertal

Country: Germany

Deadline: Not specified

Fields: Chemistry, Data Science, Machine Learning, Materials Science, Automation

Are you passionate about revolutionizing laboratory research through automation, machine learning, and advanced data analysis? If so, this fully funded PhD opportunity at Bergische Universität Wuppertal in Germany may be the perfect next step to advance your academic and professional goals.

About The University or Research Institute

Bergische Universität Wuppertal, located in the vibrant city of Wuppertal, Germany, is renowned for its commitment to interdisciplinary research and academic excellence. As one of Germany’s progressive public universities, it offers a dynamic environment that fosters innovation across the sciences and engineering. The university provides modern facilities and a collaborative atmosphere ideal for cutting-edge research in automation, data science, and materials science.

Research Topic and Significance

The central research focus of this PhD position is the development of digital workflows for high-throughput laboratory experimentation, leveraging automation and machine learning to handle and interpret raw experimental data. The integration of analytical techniques—such as spectroscopy, electrochemistry, and chromatography—will be a key component, with the ultimate aim of automating both data generation and computational analysis. This research is highly relevant in today’s scientific landscape, where the ability to rapidly process and analyze large datasets is crucial for accelerating discovery in materials science and catalysis. By advancing digital tools for the chemistry lab, this project addresses urgent needs in scientific reproducibility, efficiency, and innovation.

Project Details

The open PhD position, starting in Fall 2025, is hosted by a highly interdisciplinary research group at Bergische Universität Wuppertal. The project will focus on the integration and automation of experimental and computational workflows, specifically targeting challenges in materials science and catalysis. The successful candidate will work closely with team members to develop applications that automate data generation using advanced analytical techniques and apply machine learning methods for data analysis. The lab environment is collaborative and encourages the exchange of ideas across chemistry, data science, and engineering disciplines.

Related Opportunities

• Norway – PhD in Global Change Ecology at University of Bergen
• New Zealand – Lecturer in Electrical and Computer Engineering at University of Canterbury
• Germany – PhD in Large Language Models & Semantic AI at Forschungszentrum Jülich
• USA – Postdoc and PhD in AI-Assisted Materials Science at University of Missouri
• Finland – PhD in Sentient AI at University of Oulu

Candidate Profile

This position is ideal for applicants who meet the following criteria:

• Hold a Master’s degree in chemistry or a related discipline.
• Have experience in programming (preferably Python), data science, or machine learning.
• Demonstrate a strong motivation and curiosity for interdisciplinary research.
• Are eager to contribute to the development of digital tools for laboratory automation.
• Possess excellent communication skills and the ability to work collaboratively in a diverse team.

The ideal candidate is driven by a desire to innovate at the intersection of chemistry, data science, and engineering, and is committed to advancing the digital transformation of scientific research.

Application Process

Bergische Universität Wuppertal is seeking applications from motivated individuals for this funded PhD position. To apply, interested candidates should prepare the following documents:

• Cover letter
• Curriculum Vitae (CV)
• Academic transcripts

Please refer to the official advertisement for application details. For more information about the position and the research group, please visit the official project page:

https://fsk-lab.github.io/news/25-09-04-hiring/

Conclusion

If you are ready to take the next step in your academic career and contribute to pioneering research in laboratory automation and machine learning, consider applying for this exciting PhD opportunity at Bergische Universität Wuppertal. Germany offers a vibrant research ecosystem and a high quality of life, making it an ideal destination for ambitious scholars. Be sure to explore similar opportunities and stay informed about the latest academic openings in your field.

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