Assistant Professor

Opening for Assistant Professor / Associate Professor position for programs in CSE (B.
Tech) / CSA (B.C. A & M.C.A), B. Tech - CSE in (AI & DE), B. Tech - CSE in (AI &
ML), B. Tech - CSE (General), B. Tech - CSE (Cyber Security), B. Tech - ISE
(General), BCA - AI, BCA - Cyber Security & MCA - AI & ML for NAAC A++
University in Bangalore (Kanakapura Campus).

Organization Brief: Based in Bangalore (Kanakapura), 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 / Associate Professor / Professor [for our B.Tech - CSE in (AI & ML)
& B.Tech - CSE in (Cyber Security)] - BE/B.Tech (Computers) and ME/M.Tech
(Computers) with Ph.D (or submitted thesis) in CSE / IT / ISE

waiting for viva also can 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:
Cybersecurity and privacy,Applied Cryptography; Cybercrime and Cyber Law, Social media
Analysis, Dark Web; Cyber Physical System (CPS) Security, IoT security, Cybersecurity

Operations and Analytics, Machine Learning, Machine Learning for Security; Blockchain
security, cryptocurrencies, Privacy, Information warfare, etc.; Human Factors of
cybersecurity and privacy, network, mobile/wearable security and privacy.

Area -3 (AI&DE):
Data engineering, Data Modelling, Deep Learning, NLP, Javascript, NodeJS (Node.js),
Amazon Web Services (AWS), Python, Flask, Java, Express, MongoDB, SQL, NOSQL
Databases, DynamoDB, and data savviness, machine learning frameworks like Spark,
TensorFlow or Scikit
- learn, statistical analysis and predictive modelling, programming
experience with R, Python, Java, or C++

Area -4 (CSE) & (ISE):
Mobile Sensing, Internet of Things and Edge Computing, Cybersecurity, IoT Security, Cloud,
and Web Security, Cryptography and Privacy Computer Vision, Biometrics, Image
Processing, Blockchain, Cloud Computing, Full Stack and DevOps, Java Programming,
Python Programming, Mobile Application Programming, Advanced JavaScript
Framework. Information Systems and Analytics, Computer Security, Computer Networks,
Systems (including Computer Architecture, High-Performance Computing, and Real-time
Systems), Algorithms and Theory, Programming Languages and Software Engineering,
Machine Learning, Graphics and Interactive Computing (including Human-Computer
Interaction and Visualization), Python, C#, Microsoft Azure, AWS, Big Data.

Behavioural Competencies:

- Strong leadership skills.
- Effective communication skills.
- Excellent relational skills to work with diverse teams.
- Sound presentation skills.
Roles and Responsibilities
- Assisting with various departmental duties and providing academic support to Professors
and other staff.
- Conducting research and publishing papers in academic journals.
- Representing the university at conferences and delivering presentations when necessary.
- Teaching and supervising undergraduate and graduate students.
- Providing demonstrations and supervising experiments and investigations.
- Providing Professors and Department Heads with feedback on student progress.
- Attending faculty and departmental meetings and voicing concerns or providing
suggestions for improvement.
- Teaching experience in a university setting.
- Published works would be advantageous.
- Strong analytical, observational, and problem-solving skills.
- A good record of attending conferences and academic events.
- Excellent research, writing, and interpersonal skills.
- A passion for teaching and engaging with students.
- Patience, understanding, and willingness to help.

Work timing: 9:30 AM 4:30 PM (Monday to Saturday) with Sunday (Week Off)
Compensation: Negotiable depending on experi