Neuromorphic Electronics of AI Systems
11.04.04 Electronics and Nanoelectronics
The Master's programme trains engineers at the intersection of microelectronics, neurotechnology and AI. Students develop next-generation AI hardware — memristive nanomaterials, ultra-fast ReRAM memory, electronic skin, biosensors and neuromorphic chips — within the Advanced Engineering School "Engineering of Cyberplatforms" at SFedU. The programme combines materials science, bioelectronics and robotics, with strong industry ties and a focus on entrepreneurship. Graduates master the "hardware + AI + practice" skill set.
master's degree
full-time
English
Taganrog
about program
Program Benefits
Two-track structure
choose between "Biohybrid Systems" and "Neurointerfaces"
hands-on work with high-tech equipment and full-cycle research projects
Intensive lab practice
integration of neurophysiology, biophysics, machine learning algorithms, microelectronics and biosignal processing
Interdisciplinary profile
ethics of neurotechnologies, ontogenesis of hybrid intelligence, commercialisation and lifecycle management of biotech products
Research seminar and soft skills
designed in line with international professional standards (IEEE, ISO) and R&D sector demands (Russia, EU, USA, Asia)
Industry relevance
about program
Core Disciplines
Non-Volatile Memory and Storage Technology
Sensors and Neuromorphic Electronics
Neural Interfaces
Fundamentals of Neural Networks and Machine Learning
Academic Writing in Neuromorphic, Micro- and Nano-Electronics
Research Design and Publications
Neuroelectronic Devices and Digital IC Design
Modeling of Neuroelectronic Devices
Neuromorphic Computer Architectures
Quantum Computing and Optical Computing
Track Displines
✦ Track A "Neuromorphic AI Hardware" — Module 1 "Additive Manufacturing in AI"
→ Additive Technologies and 3D-printing
→ Advanced Micro/Nano Manufacturing Technologies
→ Vacuum Microelectronics Technologies
→ Laser Micro and Nanotechnologies
→ Synthesis and Characterization of Wire-Based Memristive Junctions
→ Synthesis and Characterization of Micro Memristors
→ Synthesis and Characterization of Nano Memristive Crossbar
→ Memristor Device for Security and Radiation Applications
→ Advanced Micro/Nano Manufacturing Technologies
→ Vacuum Microelectronics Technologies
→ Laser Micro and Nanotechnologies
→ Synthesis and Characterization of Wire-Based Memristive Junctions
→ Synthesis and Characterization of Micro Memristors
→ Synthesis and Characterization of Nano Memristive Crossbar
→ Memristor Device for Security and Radiation Applications
✦ Track A "Neuromorphic AI Hardware" — Module 1 "Additive Manufacturing in AI"
→ Additive Technologies and 3D-printing
→ Advanced Micro/Nano Manufacturing Technologies
→ Vacuum Microelectronics Technologies
→ Laser Micro and Nanotechnologies
→ Synthesis and Characterization of Wire-Based Memristive Junctions
→ Synthesis and Characterization of Micro Memristors
→ Synthesis and Characterization of Nano Memristive Crossbar
→ Memristor Device for Security and Radiation Applications
→ Advanced Micro/Nano Manufacturing Technologies
→ Vacuum Microelectronics Technologies
→ Laser Micro and Nanotechnologies
→ Synthesis and Characterization of Wire-Based Memristive Junctions
→ Synthesis and Characterization of Micro Memristors
→ Synthesis and Characterization of Nano Memristive Crossbar
→ Memristor Device for Security and Radiation Applications
✦ Track 2 — "Neurointerfaces"
→ Computational Neuroscience
→ Stimulus-dependent neurointerfaces
→ Restorative Neuroengineering from Neuroplasticity to Robotics
→ Physics of Human States
→ Non-invasive optical and electrical physiological monitoring
→ Machine Learning for Neurointerfaces
→ Stimulus-independent neurointerfaces
→ Neurointerfaces in real life
→ Forecasting Human Professional Reliability
→ Systems of Medical and Psychophysiological Support of Personnel Professional Reliability
→ Stimulus-dependent neurointerfaces
→ Restorative Neuroengineering from Neuroplasticity to Robotics
→ Physics of Human States
→ Non-invasive optical and electrical physiological monitoring
→ Machine Learning for Neurointerfaces
→ Stimulus-independent neurointerfaces
→ Neurointerfaces in real life
→ Forecasting Human Professional Reliability
→ Systems of Medical and Psychophysiological Support of Personnel Professional Reliability
✦ Track B "Neuro-Bioelectronics & Technology Translation" — Module 2 "AI-Driven Innovation, Entrepreneurship & Technology Translation
→ Technology Readiness Levels (TRLs)
→ Startup Creation & Venture Building
→ Deep-Tech Commercialization
→ Semiconductor Business Models
→ Patent Drafting Licensing
→ Technology Transfer
→ Innovation Management
→ AI for Scientific Discovery
→ Autonomous Laboratories
→ Startup Creation & Venture Building
→ Deep-Tech Commercialization
→ Semiconductor Business Models
→ Patent Drafting Licensing
→ Technology Transfer
→ Innovation Management
→ AI for Scientific Discovery
→ Autonomous Laboratories
✦ Track 2 — "Neurointerfaces"
→ Computational Neuroscience
→ Stimulus-dependent neurointerfaces
→ Restorative Neuroengineering from Neuroplasticity to Robotics
→ Physics of Human States
→ Non-invasive optical and electrical physiological monitoring
→ Machine Learning for Neurointerfaces
→ Stimulus-independent neurointerfaces
→ Neurointerfaces in real life
→ Forecasting Human Professional Reliability
→ Systems of Medical and Psychophysiological Support of Personnel Professional Reliability
→ Stimulus-dependent neurointerfaces
→ Restorative Neuroengineering from Neuroplasticity to Robotics
→ Physics of Human States
→ Non-invasive optical and electrical physiological monitoring
→ Machine Learning for Neurointerfaces
→ Stimulus-independent neurointerfaces
→ Neurointerfaces in real life
→ Forecasting Human Professional Reliability
→ Systems of Medical and Psychophysiological Support of Personnel Professional Reliability
Learning outcomes
about program
01
Memristive nanomaterials
synthesise biocompatible memristive nanomaterials, non-volatile ultra-fast memory elements and neuromorphic systems
02
Additive and micro/nano manufacturing
apply 3D printing, 3D bioprinting, vacuum microelectronics and laser micro/nanotechnologies
03
Brain-inspired computing
master bioinspired computing, memristive computing and models emulating biological learning
04
Neuro-bioelectronics and biomaterials
work with bioelectronics, conductive biomaterials, implantable electronics and neural electrodes
05
Technology translation and entrepreneurship
assess technology readiness levels (TRLs), commercialise deep-tech, draft patents and build startups
Career opportunities
about program
01
Hardware Engineering & Design
— design engineer
— process engineer
— microchip and ASIC developer
— process engineer
— microchip and ASIC developer
02
AI Hardware
— AI Hardware specialist
— neuromorphic chip developer
— energy-efficient AI systems engineer
— neuromorphic chip developer
— energy-efficient AI systems engineer
03
Software & Embedded Systems
— hardware-oriented software engineer
— neuromorphic systems programmer
— embedded systems developer
— neuromorphic systems programmer
— embedded systems developer
about program
Location
Institute of Nanotechnologies, Electronics
and Equipment Engineering
and Equipment Engineering
2 Shevchenko St., Building "E", Taganrog
Institute of Nanotechnologies, Electronics
and Equipment Engineering
and Equipment Engineering
Contacts
International office
Head of the program «Neuromorphic Electronics of AI Systems» | Associate Professor | Head of the department | Senior researcher
105/42 Bolshaya Sadovaya Str., Rostov-on-Don
+7 (863) 218 40 24
welcome@sfedu.ru
vasmirnov@sfedu.ru
Contact us
Fill in the request form and we will provide you with all necessary information
The Admissions Office SFedU
148 Pushkinskaya Street, Rostov-on-Don, Russia
148 Pushkinskaya Street, Rostov-on-Don, Russia