Biträdande universitetslektor i Materialvetenskap
Core
Developing independent research in materials science and teaching at undergraduate and graduate levels, with a focus on simulating 2D/3D materials and using AI/ML for data-driven discovery.
Role type
Assistant Professor (Materials Science)
Builds
Production ML models | research | dashboards & analysis
Domain
Materials Science / Computational Chemistry / Data Science
Deliverable
production ML models | research
Required skills
DFT simulations, Molecular Dynamics (MD) simulations, predictive materials modeling, chemical synthesis pathway analysis, machine learning tool development, large language model (LLM) application for research, interdisciplinary collaboration
Preferred skills
Supervision of PhD students, research grant acquisition, public engagement, leadership roles
Technologies
DFT, MD, LLMs, machine learning frameworks
Responsibilities
Teach undergraduate and graduate courses in Materials Science/Materials Physics, supervise PhD students, lead independent research projects, publish high-impact articles, attract external research funding, develop and lead an independent research group, collaborate with computer science and AI experts
Seniority
Mid-level, hands-on IC