Teaching Jobs vacancy notification has been announced by Musaliar College of Engineering and Technology, Pathanamthitta, Kerala for the academic year 2026–2027. The institution invites applications from eligible and qualified candidates for the positions of Associate Professor and Assistant Professor in the departments of Computer Science and Engineering and Artificial Intelligence and Machine Learning. Candidates with strong academic background, passion for teaching, and interest in research are encouraged to apply. Both experienced candidates and freshers are eligible as per AICTE norms. Interested applicants may submit their applications through email on or before 7th April 2026.
Post Date: 31st March 2026
Hiring Organization: Musaliar College of Engineering and Technology, Pathanamthitta
Organization Profile: Musaliar College of Engineering and Technology (MCET) is a well-established NAAC-accredited engineering and management institution in Kerala. The college offers NBA-accredited programs and is ranked among the top institutions by the Kerala Institutional Ranking Framework (KIRF). It operates under the professional management of the Musaliar Education Trust, a reputed charitable organization founded in 2001 by experienced educationalists and technocrats. The institution is known for its commitment to academic excellence, innovation, and holistic student development.
Job Title: Associate Professor, Assistant Professor
Employment Type: Full Time
Departments with Vacancy:
- Computer Science and Engineering
- Artificial Intelligence and Machine Learning
Eligibility:
Candidates must possess qualifications as per AICTE norms. Typically, applicants should have a Master’s degree in the relevant discipline with a strong academic background. Candidates with a PhD or those currently pursuing doctoral studies will be given preference as per institutional and regulatory requirements.
Candidate Profile:
- Candidates should have completed PhD / Pursuing PhD / PG in a relevant discipline
- Freshers with strong academic records are encouraged to apply
- Excellent communication and presentation skills
- Strong commitment towards teaching and academic responsibilities
- Ability to engage students effectively and deliver high-quality lectures
- Passion for research, innovation, and continuous learning
Key Responsibilities:
- Deliver lectures and conduct practical sessions for undergraduate students
- Guide student projects, internships, and academic activities
- Participate in curriculum development and academic planning
- Engage in research activities and publish in reputed journals
- Support departmental and institutional development initiatives
Skills Required:
- Strong subject knowledge in CSE / AI & ML domains
- Programming knowledge (Python, Data Structures, AI/ML concepts)
- Familiarity with modern teaching tools and e-learning platforms
- Good interpersonal and teamwork skills
- Analytical thinking and problem-solving ability
Interview Process:
Shortlisted candidates will be called for an interview shortly. Selected candidates should be ready to join immediately.
Job Location: Pathanamthitta, Kerala (Candidates from Kerala preferred)
Salary: As per norms
Apply Mode: Email
Last Date to Apply: On or before 7th April 2026
How to Apply: Interested and eligible candidates may send their updated CV along with relevant documents to the email address provided below.
Important Instruction:
While sending the application, candidates must mention the subject line as: “Faculty Application – Department of _________”
Email Address to Apply: [email protected]
Organization Address:
Musaliar College of Engineering and Technology,
Musaliar College (PO), Pathanamthitta
Kerala – 689653
Contact Details:
Website: www.musaliarcollege.com
Why Join Musaliar College of Engineering and Technology?
- NAAC-accredited institution with NBA programs
- Recognized ranking under KIRF
- Strong academic and research environment
- Opportunity to work in emerging fields like AI & ML
- Supportive management and growth-oriented culture
Apply early to increase your chances of selection, as shortlisted candidates may be contacted quickly.
