Assistant Professor of Computer Science

Job Role :- Assistant Professor in CSE department (Industry Specific Division)

HR Contact:-[Confidential Information]

Organization:- Chandigarh University

Qualification:-B.Tech(CSE) andM.Tech(CSE)( both qualification should be complete and should be in CSE branch only)

Location:- Chandigarh

Employment Type: Full Time, Permanent

Salary :- Negotiable

Positions Available:- 10+

Mandatory Skills :-

Cloud Computing , AIML , Block Chain , Big Data Analytics , Information Security , data structures, Algorithms, Gaming and Graphics

Job Role :-

Assistant Professors are responsible for delivering lectures, conducting lab sessions, and guiding students in their academic pursuits. They design course syllabi, develop teaching materials, and assess student performance through exams, projects, and assignments. They may teach a variety of undergraduate and graduate courses in areas such as computer programming, algorithms, databases, computer networks, artificial intelligence, machine learning, etc.

Assistant Professors are expected to engage in cutting-edge research within their field of expertise. This involves conducting experiments, writing research papers for publication in peer-reviewed journals and conferences, applying for research grants, and collaborating with colleagues both within and outside the university.

Assistant Professors provide academic and career guidance to students, including advising them on course selection, internships, research opportunities, and graduate school applications. They may supervise undergraduate and graduate students theses or projects and serve as mentors to junior faculty members

Assistant Professors participate in departmental, university, and professional service activities. This may include serving on academic committees, participating in curriculum development, organizing conferences or seminars, and contributing to outreach efforts to the community or industry.

Overall, the role of an Assistant Professor in Computer Science Engineering is multifaceted, requiring a combination of teaching, research, and service to contribute effectively to the academic community and the field of computer science and engineering as a whole.

Objectives and Responsibilities of this role

• Mentor Students on Data Science, Machine Learning algorithms and Deep learning applications and Generative AI
• Nice to have Hands On experience with data sets, and optimize existing machine learning libraries and frameworks
• Collaborate with other colleagues and supervisors for all other necessary governances and University Protocols
• Identify differences in data distribution that could potentially affect model performance in real-world applications

Ensure algorithms generate accurate user recommendations

Stay up to date with developments in the machine learning industry

• Study and transform data science prototypes and apply appropriate machine learning algorithms and tools
• Run machine learning tests and experiments, and document findings and results
• Train, retrain, and monitor machine learning systems and models as needed