Assistant Professor of Computer Science

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Problem:

With the growing demand for advanced technical education, institutions need qualified faculty with the right skills and expertise in hands-on experience. The shortage of such faculty is affecting the quality of education and slowing the growth of technical programs, particularly in technical fields.

The Solution:

You can make a difference! Join FACE Prep’s academic team as an Assistant Professor and help shape the future of technical education.


Responsibilities-

● Passion for teaching and training

● Strong technical skills in areas such as coding, software development, or IT

● Ability to provide constructive feedback on projects

● Strong interpersonal skills

● Familiarity with industry trends

● Client relationship management

● Relevant experience in curriculum design and instructional design is added advantage

● Experience in conducting mentorship sessions and guiding students

● Passion for helping students succeed in their tech careers

● Conduct hands-on practical training sessions to reinforce student’s technical skills.

● Collaborate with Subject Matter Experts to organize industry relevant workshops and seminars.

● Actively engage in personal and professional development activities to keep students aligned with industry trends.

● Monitor and maintain data on student progress, including attendance, assessment scores, and assignment performance.


What We Offer-

• Conduct hands-on practical training sessions to reinforce student’s technical skills.

• Collaborate with Subject Matter Experts to organize industry-relevant workshops and seminars.

• Actively engage in personal and professional development activities to keep students aligned with industry trends.

• Assist students in obtaining certifications in high-demand technologies.

• Corporate-style training environment.

• Assist students in securing internships while offering continuous guidance and encouragement

• Candidates with strong profiles and high ratings on coding platforms such as Hacker Rank, Leet Code, and GitHub are preferred

• Nudged learning focused on achieving periodic learning targets and outcome


Qualifications:

● Education: M.Tech in Computer Science streams, such as Computer Science & Engineering (CSE), Data Science and Analytics, Cybersecurity, Information Technology , Embedded Systems or any equivalent integrated program related to Computer Science.

● Skills: Excellent communication skills, a passion for teaching, and demonstrated expertise in programming (C, C++, Python, Java, SQL, PHP or DSA).

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