Computer architecture, Distributed systems, Distributed data systems, Big data systems, Cloud computing, Embedded computing, Data Management

Software product management, Agile software processes, DevOps, Modern tools and practices in software engineering, Software Quality and Testing, User Experience Design

Generative Deep learning, Graph neural networks, Reinforcement learning, NLP, Computer vision, Speech processing and recognition, conversational AI, ML Systems, ML Engineering, Social Media Analytics, Robotics, ML for Software Engineering, video and audio analytics

Modern software architectures, Cloud native development, Microservices, Cloud FinOps

Cloud and Data Center Networks, Network Security, Cybersecurity, Cryptography, Cloud Security, Cyber Forensics, IoT Security, Secure Software Engineering.

Probability & Statistics, General Mathematics

Digital Technologies, Digital Customer Experience, Digital Business Design and Strategy.

Block Chain and Its Applications, Technological Disruptions in The Finance Industry, Applications of Fintech in Banking, Insurance, Wealth Management, and Other Related Areas.

Data Visualization; Predictive Analytics; Analytics in Finance, Marketing, Operations and Other Management Domains; Quantitative Methods and Advanced Statistical Methods.

Business Process Analysis, Consulting Skills, Consulting Practices, Strategy

Economics

(i) Mechanical or automotive engineers having experience in electrification technologies such as battery management, fuel cells and hybrid fuels.
(ii) Mechanical or automotive engineers with experience in vehicle body engineering, crash and durability.

(i) Mechanical or automotive engineers with exposure to one or more of the following emerging technologies – Artificial Intelligence and Machine Learning (AI/ML); Advanced Driver Assistance Systems (ADAS); autonomous vehicles; electric and hybrid vehicles.
(ii) Mechanical, robotic or automotive engineers with exposure and interest in automotive diagnostics, functional safety, Automotive Safety Integrity Levels (ASIL) & ISO 26262, and Safety of Intended Functionality (SOTIF).
(iii) Mechanical or automotive engineers with expertise in cyber physical systems such as connected car technologies, automotive networking and communication systems and automotive security.
(iv) Mechanical or automotive engineers with back ground in sensor and actuation technologies in the automotive industry (Autotronics), and automotive control systems applications in vehicle dynamics, traction motor control and powertrains.

(i) Manufacturing or mechanical engineers having exposure to digital manufacturing and Industry 4.0 in one or more of the verticals – automotive manufacturing, aerospace, electronics industry, chemicals & materials or food & beverage.

Any

Any

Any

Wireless communication,optical communication,error control coding,network security,internet protocols,streaming technologies Cognitive radio networks, Vechicular communication network, Under water communication,Navigation and loacalization system, Satellite communication

RF circuit Design,Microwave communication systems,Electromagnetic wave propgation, Antenna design and Measurments, Radar Systems,MEMS, EMI/EMC,Microwave photonic Device

Adaptive signal processing,Statistical Signal Processing,Image and Video Processing, Computer Vision,Speech processing, Biomedical signal processing

Power semiconductor device,Power convertrs,Power electronics control,power managemet,Motor drives and control,

Embedded system architectures, IOT , Embeddes AI and machine learning,RTOS

VLSI Testing and verification,VLSI designAutomation,System on Chip, Semiconductor device and technolgy