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PhD Position – New insights from existing PEM water electrolysis data : Optimizing data analysis using Machine Learning
Forschungszentrum JülichJülich- Gesponsert
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TeleperformanceDüren, DEPhD Position – New insights from existing PEM water electrolysis data : Optimizing data analysis using Machine Learning
Forschungszentrum JülichJülichYour Job :
Currently insights into electrochemical systems are generally gained by defining a research question, designing an experiment which is suitable to answering this question, executing the experiment and analyzing the results in order to answer the research question. It is likely, however, that the results can also be used to answer other questions and therefore existing results are an unused asset that can help accelerating research on electrochemical systems. The focus on the thesis work is on recovering these data and define what data are needed and how they have to be structured and stored. These data will then be used to find out what additional insights can be generated by using suitable analysis algorithms. This work is part of the EU-funded project “Decode – Decentralized Cloud Labs for Energy Materials” in cooperation with partners from academia and industry from several European countries. Your tasks in detail :
- Conduct cutting-edge research to develop and validate advanced AI methodologies for the characterization, modelling, and simulation of energy materials
- Contribute to the FAIR-ification of data, establishing systematic data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science
- Develop code and utilize machine learning to support the automation of characterization and fabrication processes
- Ensure the integration and effectiveness of AI and ML algorithms in high-throughput and automated systems, addressing challenges related to data quality and operando characterization
- Collect data from already existing experiments on PEM water electrolysis and conduct some additional experiments
- Define useful data and store data and meta-data in a suitable RDM repository
- Define additional questions that may be answered based on existing data
- Analyze data using ML algorithms
- Communicate results and needs to partners within the Forschungszentrum and within the EU-project
Your Profile :
Our Offer :
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We offer ideal conditions for you to complete your doctoral degree :
In addition to exciting tasks and a collaborative working atmosphere at Jülich, we have a lot more to offer :
The position is for a fixed term of 3 years. Pay in line with 75% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) and additionally 60 % of a monthly salary as special payment („Christmas bonus“).