FACE Prep - Assistant Professor - Computer Science

- 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)