PhD Candidate on Multi-Objective Optimization and Machine Learning for Hydrogen Technologies

The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a:

PhD Candidate on Multi-Objective Optimization and Machine Learning for Hydrogen Technologies 

The Natural Computing Group (NACO) at LIACS, Leiden University, is seeking a highly motivated researcher to join our cutting-edge project on AI tool development for hydrogen energy systems (e.g., electrolysis systems). This initiative aims to enhance performance predictions and lifetime assessments of stack components through advanced data-driven modelling. You will work closely with experimental teams to continuously refine the model as more data becomes available and evaluate how short-term, small-scale test results translate to full-scale performance.

We are looking for a self-motivated and creative researcher with a strong background in multi-objective optimization, stochastic optimization, and machine learning. Industrial experience in digital twin development for energy systems is highly valued. You will be working with the Natural Computing Group (NACO) at LIACS, Leiden University, and collaborating closely with hydrogen technology companies and other universities in the Netherlands.

Key responsibilities

• Conduct original and novel research in the field of multi-objective optimization and machine learning for hydrogen associated equipment;
• Publish and present scientific articles at international journals, conferences, and workshops;
• Collaborate with hydrogen technology companies and researchers of other universities in the Netherlands;
• Assist in teaching bachelor’s and master’s courses.

Selection Criteria 

• We are looking for a candidate that meets the following criteria: 
• MSc degree in Artificial Intelligence, Data Science, Applied Mathematics, Computer Science, or a related field;
• Strong background in multi-objective optimization, stochastic optimization and machine learning;
• Excellent programming skills, particularly in Python;
• Self-motivated and creative, with industrial experience;
• Excellent written and oral communication skills in English; Dutch proficiency or willingness to learn is a plus;
• Ability to collaborate effectively with diverse stakeholders, including industry professionals and academic researchers;
• Strong ability to work on multiple tasks efficiently and meet deadlines in a high-pressure environment;
   

Research at LIACS
The Leiden Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. Our people are driven by curiosity to expand fundamental knowledge and to look beyond the borders of their own discipline.
The research carried out at the Faculty of Science is diverse, ranging from artificial intelligence, computer science, mathematics, astronomy, physics, chemistry, and bio-pharmaceutical sciences to biology and environmental sciences. The faculty has grown strongly in recent years and now has more than 1,300 staff and almost 4,000 students. We are located at the heart of one of Europe’s biggest bio-science parks, where university and business life come together. For more information, see https://www.universiteitleiden.nl/en/science and https://www.universiteitleiden.nl/en/working-at

The Leiden Institute of Advanced Computer Science (LIACS) is the Artificial Intelligence and Computer Science Institute of the Faculty of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in the core areas of Artificial Intelligence, Computer Science, and Data Science, and in the interdisciplinary areas of Business, Creative Intelligence, and Bioinformatics. We are a highly international place to do research, committed to excellence in a supportive and inclusive environment. We value fun, inclusivity, openness, and teamwork, ensuring that excellence and enjoyment go hand in hand. At LIACS, we balance teaching and research, offering a clear and inviting career path for young and talented scientists with the ambition to grow. For more information about LIACS, see https://www.cs.leiden.edu

Terms and conditions  

• We offer a full-time 1-year term position for initially one year. After a positive evaluation of the progress of the thesis, personal capabilities and compatibility the appointment will be extended by a further three years. Salary range from € 2.899,- to € 3.809,-  gross per month (pay scale P in accordance with the Collective Labour Agreement for Dutch Universities). 
• Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3%), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside the Netherlands may be eligible for a substantial tax break. 
• All our PhD students are embedded in the Leiden University Graduate School of Science www.graduateschools.leidenuniv.nl. Our graduate school offers several PhD training courses at three levels: professional courses, skills training and personal effectiveness. In addition, advanced courses to deepen scientific knowledge are offered by the research school.

D&I statement

Diversity and inclusion are core values of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive.

Information

Enquiries can be made to Dr. Yingjie Fan, y.fan@liacs.leidenuniv.nl.  If you have any questions regarding the procedure, you can send an email to: jobs@liacs.leidenuniv.nl.

Applications 

Please submit online your application via the blue button in the vacancy. Please ensure that you upload the following additional documents quoting the vacancy number:

• Motivation Letter
• CV
• Two reference letters or the contact details of referees who have agreed to be contacted

Only applications received before March 25, 2025 can be considered.