José Miguel Teixeira

Post-Doctoral Fellow

 

Contacts

Rua do Campo Alegre, 687

Porto , Portugal 4169-007

Email: jmteixeira@fc.up.pt

Work: +351 22 040 23 68

Website

Education:

PhD in Physics (University of Oporto, Portugal)


Biography:

José Miguel Mesquita Teixeira completed his degree in Physics (2002) at the Faculty of Science of Oporto University, Portugal. Between 2003 and 2006 he took a fellowship to work at IFIMUP-IN (Porto, Portugal).

In 2006 he finished his postgraduate Master degree of Computational Methods in Science and Engineering at the Faculty of Sciences and Engineering, University of Oporto. He received a FCT PhD grant from the Portuguese government at 2006 to start his doctoral thesis under the supervision of Prof. J. B. Sousa and PhD. J. Ventura. His thesis topic involved the physical studies of MgO-based Magnetic Tunnel Junctions. During his PhD, he became a visiting scientist at the University of Oviedo (Spain), Laboratoire National des Champs Magnetiques Intenses (Grenoble, France), ICMA-CSIC and INA (Zaragoza, Spain). He received his PhD in Physics from University of Oporto in January of 2011.

In 2011 he was awarded with a FCT post-doctoral grant from the Portuguese government to work at IFIMUP-IN, INESC-MN (Lisbon, Portugal) and at INA. His areas of scientific activity are Nanotechnology, Magnetism and Material Science, including studies on Magnetic Nanostructures, Spintronics and Transport Phenomena and Magneto-Optical Kerr Effect. He also collaborates with INL (Braga, Portugal) on the design and physical studies of Magnetoresistive Sensors and Memories.

His actual research is devoted to the study and understanding of the physics and functioning of single and double MgO-based MTJs, (LaCa)MnO3 and Co-based MTJs, the spin dynamics of nanostructured materials and devices down to the fs-time scale using a time resolved pump-probe technique based on the magneto-optic Kerr effect. He is also involved in the research of Memristor based adaptive neural networks and on novel and high performance solutions for gas sensing and photovoltaic cells using metamaterials.