PhD Position –Water Electrolysis: Join us at Forschungszentrum Jülich for an exciting PhD opportunity focused on leveraging existing data to uncover new insights in PEM water electrolysis through advanced machine learning techniques. This position is part of the EU-funded project “Decode – Decentralized Cloud Labs for Energy Materials” and offers the chance to contribute to cutting-edge research in clean and sustainable energy technologies.
PhD Position – New Insights from Existing PEM Water Electrolysis Data: Optimizing Data Analysis Using Machine Learning
Summary Table:
- Designation: PhD Position
- Research Area: PEM Water Electrolysis, Machine Learning
- Location: Forschungszentrum Jülich, Germany
- Eligibility/Qualification: Master’s degree in Engineering, Chemistry, Physics, or Informatics
- Job Description: Conduct research to develop and validate AI methodologies, contribute to data FAIR-ification, utilize machine learning for automation, analyze existing and additional data, and communicate results within interdisciplinary teams.
- How to Apply: Submit your application as soon as possible via the provided link.
- Last Date for Apply: Until the position is successfully filled
Institute Issuing the Offer: IEK-14, Forschungszentrum Jülich
External ID: 2024D-059
Your Job: As a PhD candidate, you will be at the forefront of unlocking untapped potential in electrochemical systems through innovative data analysis. Your responsibilities will include:
- Developing and validating advanced AI methodologies for energy materials characterization.
- Contributing to systematic data collection and metadata extraction to enhance machine learning applications.
- Utilizing programming skills, particularly in Python, to automate characterization and fabrication processes.
- Ensuring the integration and effectiveness of AI algorithms in high-throughput systems.
- Collecting and analyzing data from existing experiments on PEM water electrolysis.
- Defining useful data structures and storing data in a suitable repository.
- Analyzing data using machine learning algorithms.
- Communicating results and needs to partners within the Forschungszentrum and EU project consortium.
Your Profile: We are looking for candidates with the following qualifications and skills:
- Master’s degree with excellent marks in Engineering, Chemistry, Physics, or Informatics.
- Experience with experimental work and characterization techniques.
- Proficiency in programming, particularly in Python, with a strong understanding of data extraction and machine learning models.
- Analytical thinking and problem-solving abilities.
- Experience in research data analysis.
- Excellent communication and teamwork skills.
- Fluency in English is mandatory, while fluency in German is advantageous.
Our Offer: In return, we offer:
- An interesting and socially relevant dissertation topic.
- Interdisciplinary collaboration in an international, committed, and collegial team environment.
- Well-equipped laboratories in one of Europe’s largest research centers.
- Flexible working arrangements and generous annual leave.
- Further development of personal strengths through training courses and networking opportunities.
- Targeted services for international employees.
- Competitive remuneration in line with public service pay scales.
We welcome applicants from diverse backgrounds and are committed to creating an inclusive working environment. Apply now and be part of shaping the future of clean energy research at Forschungszentrum Jülich.
How to Apply: Submit your application as soon as possible via the following link: [Application Link](insert link).
Last Date for Apply: Until the position is successfully filled.
