PhD Position in High-Throughput Chemical Conversion Treatments
Develop automated high-throughput workflows and machine learning methods for corrosion protection coatings.
Best for:Best for materials scientists or chemists with a strong background in experimental corrosion protection and an interest in laboratory automation and machine learning.
Overview
This part-time PhD position is hosted at Helmholtz-Zentrum Hereon within the Department of Electrochemistry and Big Data, with the doctorate awarded by Hamburg University of Technology. The successful candidate will focus on the high-throughput development and automated screening of chemical conversion treatments for light metals such as aluminum and magnesium. Working at the intersection of automated experimentation and computational science, the researcher will build machine-readable datasets to support AI-assisted materials discovery. Responsibilities include designing experimental workflows, analyzing quantitative data, and publishing findings in leading journals.
What you'll do
- Develop and validate experimental methods for accelerated screening of chemical conversion treatment formulations.
- Translate experimental protocols into automated high-throughput workflows using a robotic testing platform.
- Collaborate with computational scientists to generate large, machine-readable datasets for AI-assisted discovery.
- Investigate the underlying mechanisms of adhesion promotion and corrosion protection to establish design rules for next-generation coatings.
- Disseminate research outcomes through peer-reviewed journal publications, international conference presentations, and project reports.
Requirements
Degree required: Master's degree in chemistry, electrochemistry, materials science, computational materials science or a related field
Degree offered: PhD
Language: Very good English proficiency; knowledge of German is preferred but not mandatory
Instruction: English
- Solid experimental skills in chemical laboratories
- Proficiency in quantitative data analysis using appropriate software
- Experience with corrosion protection and chemical conversion coatings for light alloys
- Familiarity with electronic lab notebooks, FAIR data principles, or databases
- Motivation to work at the interface of experimental and computational science
Funding & terms
How to apply
Deadline: 2026-11-03
Prepare comprehensive application documents including a cover letter, CV, transcripts, and certificates. Submit your application online through the provided application portal referencing the job identification number 1077.
- CV
- Cover letter
- Transcripts
- Certificates
Contact
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