PhD: CO2 Electrolysis Processes: The Institute of Energy Technologies – Fundamental Electrochemistry (IET-1) at Forschungszentrum Jülich is offering a PhD scholarship opportunity to work on cutting-edge research in CO2 electrolysis. The project focuses on developing digitalization and experimental design methods for the sustainable conversion of CO2 into chemical energy carriers, contributing to environmental sustainability and advancement of green energy technologies.
PhD Scholarship Opportunity: Digitalization and Design of Experiment for CO2 Electrolysis Processes
Designation
PhD Position
Research Area
Digitalization and Design of Experiment for CO2 Electrolysis Processes
Location
Forschungszentrum Jülich, Germany
Eligibility/Qualification
- Education Requirement:
- Master’s degree in one of the following or a comparable field:
- Chemical Engineering
- Computational Engineering
- Computational Mathematics
- Data Science / Data Analysis
- System or Process Engineering
- Technical Skills:
- Strong knowledge of data science, data analysis, data management, and machine learning
- Experience in data-driven machine learning techniques such as SINDY, LASSO, or SISSO packages
- Advanced programming skills in Python
- Proficiency in API programming and automation engineering tools like LabVIEW or EPICS
- Basic knowledge of electrochemistry is desirable
- Additional Requirements:
- Interest in interdisciplinary research and teamwork
- Excellent cooperation and communication skills
- Strong command of English (spoken and written); knowledge of German is desirable
Description
At IET-1, the research focuses on CO2 electrolysis to convert green energy into chemical energy carriers, aiming to defossilize the chemical industry. Key project tasks:
- Automation of data acquisition and management for process monitoring
- Development of APIs for electrolysis systems and analysis devices
- Implementation of Design of Experiment (DoE) techniques for efficient parameter exploration and optimization
- Conceptualization and implementation of a digital twin for electrolysis using machine learning
The integration of the digital twin into process control will enable an autonomous operation of the CO2 electrolysis systems optimized for diverse industrial use cases.
Table: Scholarship Highlights
| Category | Details |
|---|---|
| Designation | PhD Position |
| Location | Forschungszentrum Jülich, Germany |
| Research Area | Digitalization and Design of Experiment for CO2 Electrolysis Processes |
| Funding Duration | 3 years |
| Work Arrangement | Flexible, including remote work options |
| Benefits | 30 annual leave days, health management, family-friendly policies |
| Programming Skills | Python, API programming, LabVIEW, or EPICS |
| Specialization | Data Science, Machine Learning, Electrolysis Processes |
| Salary | 75% of pay group 13 of the TVöD-Bund + 60% Christmas bonus payment |
How to Apply
Interested candidates must submit their applications through the official portal of Forschungszentrum Jülich. Applications via email will not be accepted due to technical reasons.
For more details on the application process and FAQs, visit the official website or contact through the provided Contact Form.
Last Date for Apply
March 9, 2025
This is an exciting opportunity for highly motivated researchers to contribute to innovative technologies that have a significant impact on energy transition and sustainability. Apply now to be a part of groundbreaking research!
