The Nature of Biohybrid Systems
06.04.01 Biology
The Master's programme trains a new generation of researchers at the intersection of neuroscience, artificial intelligence and engineering. It focuses on brain processes, hybrid intelligence and brain–device interfaces, with two tracks — "Biohybrid Systems" and "Neurointerfaces". The programme combines intensive laboratory practice with full-cycle research projects in Russian and English.
master's degree

full-time

English

Rostov-on-Don

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
Numerical Methods and Simulation in Biomedical Systems Design
Experimental Design and Planning in Neuroscience
Neuromorphic Systems
Design and Prototyping of Biohybrid Devices
Regulatory Management and Safety of Medical Devices
Integrative Seminar on the Synergy of Living and Engineered Systems
Industrial/Research practice and master's thesis preparation
Research seminar
Ethics of Neurotechnologies
Ontogenesis of Hybrid Intelligence
Track Displines
✦ Track 1 — "Biohybrid Systems"
→ Biohybrid devices in medicine
→ Biohybrid systems for studying neurodegenerative diseases
→ Biohybrid systems for disease screening
→ Neuroimaging Methods
→ Biomedical Signal Processing
→ Soft and biohybrid robotics
→ Biophysics of Neural Networks
→ Biophysics of Excitable Membranes
→ Biohybrid devices for odour recognition
→ Bios seismoprognosis
✦ 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

Learning outcomes
about program
01
Design of biohybrid systems
develop experimental prototypes from sensors to therapeutic implants, accounting for biocompatibility, stability and ethical requirements
02
Neurointerface engineering
master recording of neural activity (EEG, ECoG, intracortical), decoding of motor intentions and closed-loop control via electrical stimulation or optogenetics
03
Biomedical Signals & Neuroimaging
apply modern methods for analysing and interpreting multi-channel biological data
04
Computational neuroscience and machine learning
use numerical methods, simulation and AI algorithms for neurointerface tasks
05
Regulatory and project management
understand medical device regulation, safety requirements and commercialisation of biotech products
Career opportunities
about program
01
Research & Academia
— research scientist
— laboratory researcher
— R&D specialist
02
MedTech / BioTech Industry
— biohybrid systems engineer
— neuro interface developer
— medical device designer
03
Pharma & Clinical Centres
Standards
— preclinical research specialist
— organ-on-chip developer
— functional diagnostics and rehabilitation engineer
about program
Location
Academy of Biology and Medicine

194/1 Stachki Ave., Rostov-on-Don


Academy of Biology and Medicine
Contacts
International office
Head of the program «The Nature of Biohybrid Systems» | Associate Professor
105/42 Bolshaya Sadovaya Str., Rostov-on-Don
+7 (863) 218 40 24

welcome@sfedu.ru
dgshaposhnikov@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