MSc in Nanoscale Structure of Materials

Nanoscale Structure of Materials - master program in physics, chemistry, computer modelling and material science.

Learn more about the program here- https://www.study.sfedu.ru/smartmaterials

Our aim is to prepare high-level professionals in the field of material science for academia and industry, a researcher who can synthesize new material, do extensive characterization, and make data analysis and theoretical modeling using state-of-the-art computer technologies. Being one of the leaders in the field of synchrotron-based techniques we offer over students to participate in real experiments and do internships at world-leading synchrotron radiation sources in Russia and Europe. We believe that a synergy between the traditionally strong "scientific school" and extensive international mobility and collaboration is at the heart of the great number of successful stories of our students.

Key Features of the program

• The “learning-by-doing” principle: all given knowledge is required for successful research work and thesis defense within one of the topics based on real on-going research grants.
• Focus on practice: more time is given for the work in our well-equipped laboratories and computational practice.
• Interactive teaching technologies by Univirlab team provide remote access to unique research equipment even for online attendees.
• Internships at Megascale research facilities such as Kurchatov Synchrotron (Moscow, Russia), European Synchrotron Radiation Facility (France), DESY (Germany), and others.
• All master’s degrees are performed on hot scientific topics within on-going research projects. On average, our students publish 2 papers in peer-reviewed journals upon completion of a Master's degree.

Research opportunities

Research work is the core part of the Master’s program. Students are involved in multidisciplinary research projects including the ongoing projects in collaboration with leading Russian and foreign scholars (http://nano.sfedu.ru/research/grants/). Possible research areas are:

• Materials for catalysis: synthesis, characterization, and computer modeling.
• Materials for energy storage and conversion: synthesis, characterization, and computer modeling.
• Meta-organic frameworks and other porous materials: synthesis, сharacterization, and computer modeling.
• Development and application of machine-learning methods for materials science data.
• Development of novel data analysis approaches for X-ray absorption spectroscopy and other synchrotron-based methods.
• Magnetic nanoparticles for biomedical applications: synthesis and characterization.