About the role

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 solid 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. JKKNs 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. JKKNs 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 JKKNs 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 institutions 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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