Chief Academic officer

Educational Qualifications

• B.E./B.Tech in CSE or related field
• M.E./M.Tech in CSE (mandatory for most colleges)
• Ph.D. in CSE (required for universities, IITs/NITs, and highly preferred everywhere)
• Qualifying exams like UGC NET or GATE can strengthen your profile 

Core Technical Skills

Strong foundation in:

• Data Structures & Algorithms
• Operating Systems
• Computer Networks
• Database Management Systems
• Object-Oriented Programming (Java, C++, Python)

Specialized areas (choose 1–2):

• Artificial Intelligence / Machine Learning
• Cybersecurity
• Cloud Computing
• Data Science
• Software Engineering

Teaching & Communication Skills

• Ability to explain complex topics clearly
• Presentation skills (PowerPoint, whiteboard teaching)
• Curriculum design and lesson planning
• Student engagement and mentoring 

Name of the College: KGiSL Institute of Technology

College Profile: The main objective of KGiSL Institute of Technology is to

provide industry embedded education and to mold the students for leadership in

industry, government, and educational institutions; to advance the knowledge

base of the engineering professions; and to influence the future directions of

engineering education and practice. The ability to connect to the future

challenges and deliver industry-ready human resources is a credibility that

KGISL Educational Institutions have progressively excelled at. Industry -

readiness of its students is what will eventually elevate an institution to star

status and its competitiveness in the job market. Choice of such an institution

will depend on its proximity to industry, the relevance of its learning

programme to real-time industry and the active connect that a student will have

with industry professionals.

Job Title: Associate Professor

Departments:

● CSE

Qualification:

● ME/M.Tech & Ph.D

Experience:

● Experience - 10-15 Years

Candidate Profile:

● Candidate should complete their PG & Ph.D in the relevant discipline

● Candidate should have Good Communication Skills

● Commitment towards work

Job Types: Full-time, Permanent

Benefits:

Health insurance

Life insurance

Provident Fund

Ability to commute/relocate:

Coimbatore, Tamil Nadu (641035): Reliably commute or planning to relocate before starting work (Preferred)

Application Question(s):

Can you join immediately

Experience:

Assistant professor or associate professor: 10 years (Preferred)

Location:

Coimbatore, Tamil Nadu (641035) (Preferred)

Work Location: In person

College Profile: The main objective of KGiSL Institute of Technology is to

provide industry embedded education and to mold the students for leadership in

industry, government, and educational institutions; to advance the knowledge

base of the engineering professions; and to influence the future directions of

engineering education and practice. The ability to connect to the future

challenges and deliver industry-ready human resources is a credibility that

KGISL Educational Institutions have progressively excelled at. Industry -

readiness of its students is what will eventually elevate an institution to star

status and its competitiveness in the job market. Choice of such an institution

will depend on its proximity to industry, the relevance of its learning

programme to real-time industry and the active connect that a student will have

with industry professionals.

Job Title: Assistant Professor

Departments:

● CSE- Assistant Professor

Qualification: 

● Ph.D /NET/SET

Experience:

● 1 - 5 Years

Candidate Profile:

● Candidate should complete their Ph.D/PG in the relevant discipline

● Candidate should have Good Communication Skills

● Commitment towards work

Data Science (SME)

FACE Prep is India’s leading employability and industry-aligned education company. For over 17 years, we have partnered with higher education institutions to bridge the gap between academia and industry.

● Worked with 2,000+ colleges and universities across India

● Trained 6+ million students across disciplines

● Market leaders in:

● Employability skills & placement readiness

● Industry-aligned academic papers(credit-bearing)

● Full-scale industry-aligned degree programs with universities

● Pan-India operations, headquartered in Coimbatore

● Young, energetic, mission-driven team

● Fast-growing organization with headcount expected to cross 1,000 employees in the next financial year

At FACE Prep, people are the platform on which outcomes are built.

Position: Data Science (SME)

Location: Coimbatore

Duration: Full-Time

Department: Training & Development

Experience: Minimum 2 Years

Role Description :

The Data Science Subject Matter Expert (SME) is a full-time, on-site role based in Coimbatore. The SME will design and deliver data science curricula, including lectures, hands-on labs, and project-based learning for students preparing for tech careers. Daily responsibilities include creating educational content, developing problem sets and case studies, mentoring learners on data analysis and model-building, and reviewing student work to provide constructive feedback. The SME will collaborate with other trainers and the product team to align content with current industry practices and hiring requirements. The role also involves analyzing learner performance data, refining teaching strategies, and occasionally contributing to workshops, bootcamps, and online learning materials.

Requirements:

• Strong foundation in Statistics and Data Science, with the ability to explain complex concepts clearly and practically.

• Hands-on experience in Data Analytics and Data Analysis, including working with real-world datasets and deriving actionable insights.

• Excellent Analytical Skills for problem-solving, designing assignments, and guiding learners through data-driven decision-making.

• Proficiency in common data science tools and languages (e.g., Python/R, SQL, data visualization tools such as Tableau/Power BI).

• Prior experience in teaching, mentoring, corporate training, or curriculum development is highly beneficial.

• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Data Science, or related discipline.

• Ability to communicate effectively with diverse learner groups and collaborate within a multidisciplinary team.

• Exposure to machine learning concepts, model evaluation, and deployment practices is a plus.

IMMEDIATE JOINERS REQUIRED

echnical Skills

• Programming Languages: Python, Java, C, C++, R, JavaScript
• Data Structures and Algorithms
• Database Management Systems (MySQL, Oracle, MongoDB)
• Artificial Intelligence and Machine Learning
• Data Science and Analytics
• Cloud Computing (AWS, Azure, Google Cloud)
• Cyber Security and Network Security
• Internet of Things (IoT)
• Software Engineering and Software Testing
• Operating Systems and Computer Networks
• Web and Mobile Application Development
• DevOps and Containerization (Docker, Kubernetes)
• Research Methodology and Statistical Analysis Tools (SPSS, R, Python)

Teaching and Academic Skills

• Curriculum Design and Development
• Outcome-Based Education (OBE) Implementation
• Course Planning and Delivery
• Student Mentoring and Academic Advising
• Assessment and Evaluation Techniques

Research Skills

• Research Proposal Writing
• Publication in SCI, Scopus, and UGC Care Journals
• Patent Filing and Intellectual Property Rights (IPR)
• Conference Paper Presentation
• Research Collaboration and Networking

Leadership and Administrative Skills

• Departmental Planning and Coordination
• Faculty Development and Mentoring
• Accreditation Processes (NBA, NAAC, NIRF, ABET)
• Academic Administration and Policy Implementation
• Industry-Academia Collaboration
• Industry and Professional Skills
• Consultancy and Industry Projects
• Internship and Placement Coordination
• Entrepreneurship and Startup Mentoring

Soft Skills

• Effective Communication and Presentation
• Leadership and Team Management
• Problem-Solving and Critical Thinking
• Decision-Making Skills
• Interpersonal and Relationship Management
• Time Management and Organizational Skills
• Key Competencies
• Academic Excellence
• Quality Assurance and Accreditation Compliance
• Collaboration and Stakeholder Management

These skills are typically expected for an Associate Professor in CSE with teaching, research, and administrative responsibilities in higher educational institutions.

Essential Educational Qualifications

• Ph.D. in Computer Science and Engineering (CSE) or a relevant discipline from a recognized university.
• Master's Degree (M.E./M.Tech.) in Computer Science and Engineering or a related field with a consistently good academic record.
• Bachelor's Degree (B.E./B.Tech.) in Computer Science and Engineering or a related discipline.

Experience Requirements (as per AICTE/UGC norms – typical)

• Minimum 8 years of teaching, research, and/or industry experience after obtaining a postgraduate degree.
• At least 2 years of experience at the level of Assistant Professor Grade I or equivalent in a recognized institution.
• Proven track record of teaching undergraduate and postgraduate courses.

Given the qualifications and requirements you've shared (Ph.D. completion and a minimum of 2 years of experience) in the fields of Computer Science and Engineering (CSE), Information Technology (IT), and Electronics and Communication Engineering (ECE), here is a more tailored look at the specific expectations and skills an Associate Professor should bring to a department in such a technical field, along with the contextual setting of your mentioned location, KGiSL Campus in Saravanampatti, Coimbatore.

Eligibility:

• Complete the Master Degree In Relevant Field
• Candidates Clear the Any One Of UGC NET/SET
• Must Have a Ph.D Completion In Related Department

1. Academic Qualifications

• Ph.D. in Relevant Field: Candidates must have a Ph.D. in Computer Science, IT, or a closely related field. The Ph.D. should reflect deep expertise in a specific sub-area of the discipline.
• Publications: A strong record of publications in peer-reviewed journals and conferences, particularly in top-tier venues related to CSE, IT.
• Research Experience: Proven track record of independent and collaborative research projects, including contributions to advancements in areas such as machine learning, AI, data science, cybersecurity, embedded systems, etc.
• Teaching Experience: At least 2 years of experience in teaching and mentoring students, ideally at the university or college level, in courses related to CSE, IT.

2. Technical Skills

• Subject Expertise:
• CSE: Knowledge in areas such as Algorithms, Software Engineering, Data Structures, Cloud Computing, Artificial Intelligence (AI), Machine Learning (ML), Big Data, Database Systems, and Networking.
• IT: Familiarity with Programming Languages (Python, Java, C/C++, etc.), Web Development, Mobile App Development, Cloud Technologies, IT Infrastructure, Cybersecurity, and Network Security.