Assistant Professor ​/ Project Advisors​/ Assistants In the Department of Computer Science and Allied

Applications are invited from experienced professionals working in industry, research organizations, startups, and reputed academic institutions for Faculty and Project Advisor positions in the Department of Computer Science and Allied Branches
Job Profile I –

B.Tech. Computer Science and Business Systems – CSBS    The faculty shall deliver quality teaching through,   Project-Based Learning (PBL)  , by designing and supervising multidisciplinary, industry-oriented projects that integrate computer science with business systems. Faculty members are expected to mentor students in solving real-world business challenges using emerging technologies such as   AI, ML, Generative AI, Business Analytics, Data Science, Financial Technology (Fin Tech), Enterprise Resource Planning (ERP), Internet of Things (IoT), Cyber Security, Digital Transformation, and Business Intelligence.
Job profile II
- B. E CSE (Cyber Security)
The faculty/ Project Advisor should prepare students for careers in cyber defense, secure software development, digital forensics, cloud security, security operations, and risk management

Key Responsibilities:

· Design and supervise industry-oriented, multidisciplinary projects related to cyber defense, threat detection, secure applications, and security analytics.

· Guide students in developing secure software products, intrusion detection systems, vulnerability assessment tools, security dashboards, and incident response solutions.
Job Profile III – Faculty (B.E. Artificial Intelligence and Machine Learning /

B.Tech. Artificial Intelligence and Data Science)   The   Faculty/Project Advisor   should prepare students for careers in   Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Computer Vision, Natural Language Processing (NLP), Generative AI, Predictive Analytics, Big Data, and Intelligent Automation.

Key Responsibilities
Guide students   in AI, Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI, Data Science, Big Data Analytics, Business Intelligence, Data Engineering, and Predictive Analytics through industry-oriented, multidisciplinary projects.
Mentor students   in developing AI-powered and data-driven applications such as   chatbots, recommendation systems, predictive models, computer vision solutions, business intelligence dashboards, intelligent decision-support systems, and analytics solutions   using modern AI and cloud technologies.
Job Profile IV – Faculty (B.E. Computer Science and Engineering – CSE)   The faculty/ Project Advisor should prepare students for careers in cyber defense, secure software development, digital forensics, cloud security, security operations, and risk management

Key Responsibilities     Design and supervise   industry-oriented, multidisciplinary projects   in Software Engineering, Full Stack Development, Cloud Computing, AI Applications, Distributed Systems, and Enterprise Software Solutions.
Guide students in developing   scalable software products, web and mobile applications, cloud-native applications, enterprise solutions, intelligent systems, APIs, and distributed applications.
Job Profile V – Faculty (B.Tech. Information Technology – IT)   The faculty/ Project Advisor should prepare students for careers in cyber defense, secure software development, digital forensics, cloud security, security operations, and risk management

Key Responsibilities     Design and supervise   industry-oriented, multidisciplinary projects   in Information Systems, Cloud Computing, Enterprise Applications, Data Engineering, Network Technologies, and Digital Transformation.
Guide students in developing   enterprise applications, cloud-based solutions, IT automation tools, business intelligence dashboards, network management systems, and digital transformation solutions.
Encourage participation in hackathons, capture-the-flag (CTF) competitions, coding contests, security challenges, research publications, patents, and startup initiatives.

Qualification:

M.E./M.Tech. in Computer Science and Engineering (CSE) or Allied Branches with a strong academic background. Ph. D desirable
(OR)
Industry professionals possessing a B.E./B.Tech. degree in CSE or allied disciplines, with relevant experience in emerging technologies.
Candidates with a B.E./B.Tech. qualification must be willing to pursue and complete an M.E./M.Tech. in the relevant discipline after joining the Institute, within the stipulated time period, as per institutional norms.

Salary and Benefits :
CIT offers competitive salaries commensurate with an applicant’s qualifications and experience.
Eligible and interested candidates are invited to send their resume to the following e-mail address.
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