Job
Description
The University is looking for Academic Professionals for Bangalore location.
Organization Brief: Based in Bangalore, India's Silicon Valley, the university offers an environment for learning, whether academic or extra-curricular. The university has a strong focus on education, entrepreneurship, research and sport. The Organization has some of the best minds in education and research, and centres which inspire entrepreneurship and ground-breaking work to simplify and better manage life. What sets the Organisation apart is its vision of life, its values and its beliefs. It's constantly evolving and open-minded system and pursuit of continued success and resilience have made it one of India's top universities.
University Ranking: NAAC A++ Ranking
Position (Course) - Qualification:
1. Assistant Professor [for our B.Tech - CSE in (AI & ML) & B.Tech - CSE in (Cyber Security)] - BE / B.Tech and ME / M.Tech (or equivalent) with Ph.D. (or submitted thesis) in CSE / IT / ISE
2. Assistant Professor [for our B.C.A (AI) & B.C.A (Cyber Security)] - Graduate and Post Graduate (Computer Science/ Computer Application) with Ph.D (or submitted thesis) in CSE / IT / ISE
Eligibility: Minimum of 2 years of (teaching/industry/research) experience, Candidates must have completed their PhD degree (Candidates who have submitted thesis and waiting for viva also can apply).
FRESHER computer science (Graduates or Post Graduates) who have completed their PhD degree may also apply.
Technical Skills: (General CSE along with specialization in any one area given below)
General CSE: C++, Java, OS, RDBMS, Software Engineering, Data Structure, etc
Area - 1: (AI & ML)
Experience with Machine Learning, Statistics, data analysis tools and techniques, performing data extraction, cleaning, analysis and presentation for medium to large datasets, programming language (i.e. Python, Java, or C++), scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikitlearn, dplyr, or ggplot2, statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis, data visualization libraries such as Matplotlib, Pyplot, ggplot2, machine learning libraries and packages such as PyTorch, Caffe2, TensorFlow, Keras or Theano
Area - 2: (Cyber Security)
Cyber security and privacy, Applied Cryptography; Cybercrime and Cyber Law, Social media Analysis, Dark Web; Cyber Physical System (CPS) Security, IoT security, Cyber security Operations and Analytics, Machine Learning, Machine Learning for Security; Block chain security, crypto currencies, Privacy, Information warfare, etc.; Human Factors of cyber security and privacy, network, mobile/wearable security and privacy.
Behavioural Competencies:
- Strong leadership skills.
- Effective communication skills.
- Excellent relational skills to work with diverse teams.
- Sound presentation skills
Work timing: 9:30 AM 6:30 PM (Monday to Saturday) with Sunday (Week Off)
Compensation: Negotiable depending on experience and market standards.
IMMEDIATE JOINING REQUIRED!!