Assistant Professor

**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**

**Education Qualification**:
**UG **: B.Tech/B.E. in Computers, BCA, BSc (Computers),

**PG **: MTech in Computers, MCA, MSc (Computers)

**Doctorate **:Ph.D./Doctorate in Computers (preferred)
- **University Ranking: NAAC A++ Ranking**_

**Industry Type**: University

**Functional Area**:Teaching & Training

**Employment Type**: Full Time, Permanent

**Role Category**:University Level Educator
- 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 experience and market standards.

**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.

**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 resil