Position: Associate Professor at School of Engineering at Chanakya University The School of Engineering at Chanakya University is committed to fostering transformative leaders by offering innovative, transdisciplinary programmes that equip young people with the skills to address complex challenges. Our strong focus on innovation, sustainable solutions, and state-of-the-art infrastructure collectively supports the university’s vision of becoming a globally recognised institution rooted in Indian ideals.

The School of Engineering at Chanakya University is seeking applications for faculty positions in diverse fields such as Computer Science, Artificial Intelligence, and Data Science. Moreover, a willingness to contribute effectively to the university's educational landscape is highly desirable. Role & Responsibilities

Teach advanced undergraduate and postgraduate courses in the specialisation (Data Science & Cyber Security).

Design course content, learning resources, and assessment rubrics.

Guide undergraduate capstone projects and postgraduate dissertations.

Actively publish quality research and pursue funded projects.

Mentor junior faculty and support academic quality improvement.

Contribute to curriculum revision, academic audits, and accreditation processes.

Take leadership roles in departmental committees and academic initiatives.

Eligibility & Experience

Ph.D. in the relevant discipline (mandatory).

Minimum experience as prescribed by AICTE / UGC norms (typically 6+ years).

Proven record of publications in reputed journals/conferences.

Knowledge in AI, ML/DL is mandatory.

Expected Competencies

Solid research background in multidisciplinary fields.

Depth of expertise in the specialisation area.

Strong mentoring and academic leadership skills.

Ability to integrate research, industry practices, and teaching.

Experience with outcome-based education and accreditation frameworks.

Applicable Specialisation

Areas are

Systems (Operating Systems, Computer Networks)

Database Management Systems

Compiler Design

Mathematics / Optimisation

Software Engineering

Cybersecurity

Data Science 1. Systems (Operating Systems & Computer Networks)

Role & Responsibilities

Teach undergraduate and postgraduate courses in Operating Systems and Computer Networks.

Deliver both theory and laboratory sessions (OS labs, Network labs).

Guide students in system-level programming, networking projects,



and simulations.

Develop and update course materials aligned with curriculum and industry trends.

Mentor student projects in areas such as distributed systems, cloud computing, and network security.

Engage in academic research and contribute to departmental initiatives.

Desired Skills

Strong fundamentals in OS concepts (processes, memory, scheduling, file systems).

Strong understanding of networking concepts (TCP/IP, routing, switching, protocols).

Proficiency in C/C++, Linux, networking tools.

Ability to integrate practical case studies and experiments. 2.

Database Management

Systems (DBMS)

Role & Responsibilities

Teach courses related to DBMS, Advanced Databases, and Data Management.

Conduct database laboratory sessions and mini-projects.

Guide students in database design, normalisation, query optimisation, and transactions.

Supervise projects involving SQL, NoSQL, and data-driven applications.

Support research and consultancy activities in data management and analytics.

Desired Skills

Strong knowledge of relational and non-relational databases.

Proficiency in SQL, PL/SQL, and database design tools.

Exposure to modern database systems (distributed databases, big data platforms).

Ability to connect theory with real-world data applications. 3.

Compiler

Design

Role & Responsibilities

Teach Compiler Design and related theory courses.

Explain concepts such as lexical analysis, parsing, syntax-directed translation, and code generation.

Conduct compiler-related laboratory sessions and project guidance.

Encourage research and innovation in programming languages and language processing tools.

Develop learning resources and hands-on assignments.

Desired Skills

Strong understanding of compiler phases and formal language theory.

Familiarity with tools such as Lex/Flex, Yacc/Bison.

Programming proficiency in C/C++ or Java.

Ability to simplify abstract concepts with practical examples.

- Mathematics / Optimisation

Role & Responsibilities





Teach Engineering Mathematics and Optimisation-related courses.

Deliver courses on linear algebra, probability, calculus, numerical methods, and optimisation techniques.

Support interdisciplinary teaching involving AI, ML, and operations research.

Mentor students in mathematical modeling and analytical problem-solving.

Contribute to research publications and funded projects.

Desired Skills

Strong mathematical foundation relevant to engineering applications.

Strong statistical foundation relevant to multidisciplinary applications.

Knowledge of optimisation techniques and modeling tools.

Ability to apply mathematics to computer science and engineering problems.

Research orientation with publications in reputed journals (preferred). 5.

Software

Engineering

Role & Responsibilities

Teach Software Engineering, Software Architecture, and related courses.

Guide students in software development life cycle (SDLC), Agile methodologies, and DevOps practices.

Conduct software engineering labs and capstone project mentoring.

Promote best practices in requirements analysis, design patterns, testing, and maintenance.

Encourage industry-oriented projects and collaboration.

Participate in curriculum development and accreditation activities.

Desired Skills

Strong understanding of SDLC models, Agile/Scrum, and software project management.

Proficiency in software design principles, UML, and documentation standards.

Experience with version control systems and development tools.

Ability to bridge theory with real-world software development practices. 6.

Cyber

Security

Teaching areas: Network Security, Cryptography, Ethical Hacking, Cyber Laws, and Digital Forensics.

Experience with security tools, threat analysis, and secure system design.

Awareness of national cybersecurity frameworks and compliance standards.

Encourage industry-oriented projects and collaboration.

Participate in curriculum development and accreditation activities.

- Data Science

Teaching areas: Data Analytics, Machine Learning, Statistics, Big Data, and Data Visualisation.

Proficiency in Python/R, data processing frameworks, and analytical tools.

Ability to guide data-driven projects and interdisciplinary research.

Encourage industry-oriented projects and collaboration.

Participate in curriculum development and accreditation activities.

📌 Associate Professor (Devanahalli)
🏢 Chanakya University
📍 Devanahalli