AP - ECE - CET - Asst Prof

Assistant Professor – Electronics & Communication Engineering (ECE)

Department: Electronics & Communication Engineering
Designation: Assistant Professor
Institution: JKKN College of Engineering & Technology
Work Location: Komarapalayam, Namakkal, Tamil Nadu

Job Purpose

We are looking for a passionate and learner-focused Assistant Professor in Electronics & Communication Engineering (ECE) who can facilitate meaningful learning through strong subject expertise, practical application, emerging technologies, and AI-enabled learning approaches.

The Learning Facilitator will be responsible for creating an engaging academic environment where learners develop conceptual understanding, technical competence, critical thinking, problem-solving ability, and industry-relevant skills. The role involves integrating AI tools and digital learning solutions into teaching while encouraging learners to apply ECE concepts to real-world engineering problems.

JKKN College of Engineering & Technology places strong emphasis on hands-on learning, innovation, research, industry exposure, and preparing learners to address global engineering challenges. (engg.jkkn.ac.in)

Key Responsibilities

1. Learning Facilitation & Academic Delivery

• Facilitate engaging and outcome-based learning sessions for ECE learners.

• Deliver core ECE subjects with clarity, relevance, and strong practical orientation.

• Design lesson plans, learning activities, assessments, and learner-centric experiences.

• Connect theoretical concepts with practical engineering applications and current industry practices.

• Encourage questioning, critical thinking, collaboration, and independent learning.

2. AI-Enabled Learning

• Integrate appropriate AI tools into teaching, learning, assessment, research, and academic preparation.

• Guide learners in using AI responsibly for research, ideation, problem-solving, simulation, coding, documentation, and technical learning.

• Develop AI-assisted learning resources, interactive activities, and personalised learning support.

• Encourage learners to use AI as an amplifier of human judgement and engineering thinking, rather than as a replacement for understanding. JKKN's current learning model explicitly places critical thinking first and AI as an amplifier. (jkkn.ac.in)

3. ECE Practical & Experiential Learning

• Facilitate laboratory sessions, demonstrations, simulations, mini-projects, and application-based activities.

• Mentor learners in electronics, communication systems, embedded systems, IoT, signal processing, VLSI, wireless technologies, and other relevant ECE domains.

• Encourage prototype development and solution-oriented engineering projects.

• Make effective use of available learning labs and technology-enabled learning infrastructure. JKKN's ECE facilities include digital electronics learning laboratories with practical circuit-design equipment. (engg.jkkn.ac.in)

4. Learner Project & Innovation Mentoring

• Guide learners in identifying real-world problems and converting them into engineering solutions.

• Mentor mini-projects, major projects, hackathons, technical competitions, and innovation initiatives.

• Encourage interdisciplinary projects involving ECE + AI + IoT + embedded systems + data-driven technologies.

• Support learners in developing prototypes, technical presentations, documentation, and demonstrations.

5. Research & Development

• Pursue research in relevant ECE and emerging technology areas.

• Publish research papers in reputed journals and conferences.

• Participate in funded research, consultancy, patents, and technology-development initiatives.

• Encourage learners to participate in research and solution-oriented innovation.

• Contribute to JKKN's focus on solution-oriented research, innovation, and entrepreneurship. (engg.jkkn.ac.in)

6. Industry & Professional Engagement

• Establish meaningful connections with industries, professionals, researchers, and technology organisations.

• Facilitate guest lectures, workshops, industrial visits, internships, certifications, and industry-oriented projects.

• Continuously update subject knowledge based on emerging technologies and industry requirements.

• Support learners in becoming career-ready and industry-ready professionals.

7. Academic & Institutional Contribution

• Participate actively in departmental academic planning, curriculum development, accreditation activities, and quality initiatives.

• Contribute to student clubs, technical events, innovation activities, and institutional programmes.

• Maintain academic records, assessment documentation, learner progress reports, and other departmental requirements.

• Collaborate with colleagues to continuously improve learning outcomes and academic practices.

Preferred Technical Areas

Candidates with expertise in one or more of the following areas will be preferred:

• Digital & Analog Electronics

• Embedded Systems

• Internet of Things (IoT)

• Artificial Intelligence & Machine Learning for ECE

• VLSI / FPGA

• Signal & Image Processing

• Wireless & Mobile Communication

• RF & Microwave Engineering

• Computer Networks

• Robotics & Automation

• Sensors and Instrumentation

• Edge Computing

• Communication Systems

• PCB Design and Prototyping

Desired Competencies

• Strong subject knowledge in ECE

• Excellent communication and facilitation skills

• Learner-centric teaching approach

• Ability to use AI and digital tools effectively

• Practical and problem-solving orientation

• Research aptitude

• Innovation and entrepreneurial mindset

• Ability to mentor projects and technical teams

• Willingness to continuously learn emerging technologies

• Collaborative and professional attitude

Qualification & Experience

• Minimum qualification: M.E./M.Tech in Electronics & Communication Engineering or relevant specialization from a recognised institution.

• B.E./B.Tech in ECE or an allied discipline is preferred at the undergraduate level.

• Candidates with relevant teaching, research, industry, project, or professional experience will be preferred.

• Candidates with publications, patents, funded projects, certifications, industry exposure, or expertise in AI/IoT/embedded technologies will have an added advantage.

Success in This Role Means

The successful Learning Facilitator will help learners:

Understand → Apply → Experiment → Solve → Innovate → Build → Communicate

The ultimate expectation is to develop industry-ready ECE professionals who can combine engineering fundamentals with AI-enabled tools to create practical solutions for real-world problems.

About JKKN: JKKN Institutions describes itself as an AI-Empowered Institution, integrating AI across programmes and learner workflows while maintaining a strong focus on critical thinking, innovation, practical learning, and future-ready skills. (jkkn.ac.in)

Package & Employment Formalities

• Salary: Competitive package commensurate with qualification, experience, subject expertise, research profile, and demonstrated teaching competencies.

• Probation: Appointment will be subject to the institution's applicable probation and performance-evaluation norms.

• Joining: Selected candidates are expected to join within the stipulated period mentioned in the appointment communication.

• Documents: Selected candidates must submit original copies of educational qualifications, experience certificates, identity proof, and other documents required by the institution.

• Appointment: Employment will be governed by the rules, policies, procedures, and service conditions of JKKN Institutions as applicable from time to time.