Assistant / Associate Professor position

Miles Education - Jain University

About the job

Job Description FACULTY - Jain University.

Opening for Assistant / Associate Professor position for 8+ 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 Kanakapura.

Organization Brief: Based in 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 / Associate 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

Eligibility: Minimum 1+ years of (teaching/industry/research) experience, Candidates must have completed their PhD degree (or Candidates who have submitted thesis and 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: (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.

Behavioral 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.

Desired Candidate Profile

  • 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 6:30 PM (Monday to Saturday) with Sunday (Week Off)

Compensation: Negotiable depending on experience and market standards.

Role: Assistant Professor / Lecturer

Industry Type: Education / Training

Functional Area: Teaching & Training

Employment Type: Full Time, Permanent

Role Category: University Level Educator


UG : B.Tech/B.E. in Computers, BCA, BSc

PG : MTech in Computers, MCA, MSc

Doctorate : Ph.D./Doctorate in Computers

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