PhD Position in Counterfactual Reasoning: Novel Machine Learning Methods for Material Discovery (HDS-LEE graduate school)

• Review existing literature, collect data from relevant sources, and build a joint knowledge and data repository.
• Design effective material counterfactuals: Design, implement, and investigate counterfactual reasoning useful for proposing interpretable, synthesis-proximal modifications to known materials.
• Create generative models for material discovery adhering to strict physical constraints needed for stable and synthesizable crystal structures.
• Present your work at international conferences and learn about state-of-the-art methods in machine learning, explainable AI, counterfactuals and generative AI for material sciences.
• Take part and engage in the HDS-LEE graduate school program.
• Supervise interns and student projects.

PhD Position in Counterfactual Reasoning: Novel Machine Learning Methods for Material Discovery (HDS-LEE graduate school), Do you have experience in Windows?, Do you have a Master's degree?, * Excellent Master's degree in computer science, physics, or mathematics (or a related field), with a focus on machine learning, deep learning, or AI.

• Solid mathematical, algorithmic, or physics background, distinct analytical skills.
• Very good programming (Python, C++) and computer (Linux, Windows) skills.
• Excellent cooperation and communication skills.
• You enjoy working within a diverse team in an international and interdisciplinary environment.
• Very good English, both spoken and written. German language skills are not necessary but a plus.
• High motivation and work ethics. You share our passion for machine learning research, have done some previous research in this field (e.g., internships, study projects, research papers, etc.), and want to make an impact in a societally relevant application.

Conducting research for a changing society: This is what drives us at Forschungszentrum Jülich. As a member of the Helmholtz Association, we aim to tackle the grand challenges of our times. How can we make a success of the energy transition and mitigate the effects of climate change? What challenges are emerging due to the increasing digitization of our society? Will we succeed in understanding the human brain? And how can we facilitate the transition to a bio-based sustainable economy? Come and work with us at our scientific institutes, in our technical or administrative infrastructure, or in research management alongside roughly 6,800 colleagues at one of Europe’s biggest research centres and help make a contribution to solving societal challenges. Help us to shape change!