Intelligent Computing RnD Engineer Job in Suwon, Moscow And Moscow Region Russian Federation

Data Intelligence
-Context-aware computing

(1) Design and development of semantic-based context-aware platform

(2) Design and/or conceptualization of future intelligent services for mobile users

(3) Experience in semantic modeling and processing

(4) Strong understanding of description logic, reasoning, and semantic standards (OWL, SWRL, SPARQL)

-Machine Learning

(1) Statistical learning and inference methods for large-scale graphical models

(2) Bayesian methods for analyzing a variety of real world data

(3) Novel approaches for machine intelligence leading a new generation of technology

-Affective Computing

(1) Emotion recognition including physiological,visual, audio, and multi-modal methods

(2) Computational model of emotional phenomena of human and machines

(3) Novel human-computer interaction utilizing human emotion and feelings

Storage
-Large-scale distributed storage (MapReduce, Hadoop, etc.)

-Distributed system modeling and simulation

-High-availability storage (backup, logging, recovery, etc.)

-Storage hardware optimization (NAND, PRAM, RAID, FPGA, etc.)

-Operating system (local / distributed file system, block management, etc.)

-Next-generation storage issues (object-based storage, in-database processing, etc.)

Operating System
-Design and implementation of operating system components based on microkernel

-Design and implementation of real-time operating system

-Formal verification of an operating system and formal device driver synthesis

-Experience in cyber physical systems (CPS)

Cloud Computing
-Workload analysis and scalable scheduling on heterogeneous architectures

-Mobile cloud-based performance profiling, modeling, and optimization

-Operating system and middleware for pervasive embedded systems and sensor networks

-Design and implementation of distributed real-time systems

Computer Aided Diagnosis
-Computer aided diagnosis

  ·Ultrasound ROI detection

  ·Lesion feature extraction

  ·Lesion classification / prediction

  ·Medical data mining