PhD Position – New insights from existing PEM water electrolysis data: Optimizing data analysis using Machine Learning
vor 3 Monaten
Your 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:
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:
Master’s degree with excellent marks in Engineering or Chemistry, Physics or InformaticsExperience with experimental work and characterization techniques
Demonstrated experience in programming, particularly in Python, with a robust understanding of data extraction and machine learning models
An analytical thinker with proven problem-solving abilities and a commitment to pushing the boundaries of interdisciplinary collaboration
Experience in research data analysis
Willingness to learn and ability to think outside the box
Excellent cooperation, communication, and teamwork skills
Collaborative working in multicultural and interdisciplinary team
Independent, self-motivated, and responsible
Fluency in English is mandatory
Fluency in German is advantageous
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:
Interdisciplinary collaboration on a project in an international, committed, and collegial team environment
Well-equipped laboratories in one of the largest research centers in Europe
State-of-the-art research
Flexible working arrangements
30 days of annual leave as well as an arrangement for bridging days ( between Christmas and New Year’s Day)
Fun and social working atmosphere
Further development of your personal strengths, through an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors:
Targeted services for international employees, through our International Advisory Service
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“).
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