Chiara Ciccarelli

Chiara Ciccarelli is a Professor of Physics at the Cavendish Laboratory, University of Cambridge. Her research focuses on spin-dynamics in magnetically ordered materials, superconducting spintronics, and ultrafast spin phenomena. She holds a Royal Society University Research Fellowship and has been recognized with the Wohlfarth Lectureship (2023) and an ERC Consolidator Grant. Ciccarelli leads a research group exploring spin-orbitronics, superconducting spintronic devices, and time-resolved THz spectroscopy for studying picosecond-scale spin dynamics.

Education:

• Undergraduate and Master's studies at Tor Vergata University, Rome
• PhD in Physics at the University of Cambridge
• Junior Research Fellowship at Gonville and Caius College

Research Interests: Her work bridges spintronics and superconductivity, focusing on energy-efficient devices and quantum materials. Key areas include spin-charge interconversion, magnon-photon coupling, and the development of low-dissipation spintronic systems. Her group uses terahertz spectroscopy and nanoscale device fabrication to explore ultrafast spin dynamics in materials like FeRh, Mn3Sn, and antiferromagnet-heavy metal heterostructures.

Grants & Awards:

• ERC Consolidator Grant
• Winton Advanced Research Fellowship (2017)
• Royal Society University Research Fellow (2017–present)
• Institute of Physics Wohlfarth Lecturer (2023)

Advising & Collaboration: Supervises graduate students and postdocs in areas such as superconducting spintronics and ultrafast magnetism. Collaborates with the Department of Materials Science and international institutions via visiting researchers and joint projects. The group's facilities include the Maxwell Centre and Ray Dolby Centre laboratories for nanofabrication and time-resolved measurements.

Labs & Teams: The Ciccarelli Group operates at the Cavendish Laboratory's Maxwell and Ray Dolby Centres, focusing on spin physics and device development. Projects integrate experimental techniques like THz spectroscopy with theoretical modeling to advance quantum materials and energy-efficient technologies.