Hiring | Assistant Professor (Computer Science) | WFH

NCR Eduservices; United States; Remote; USD 70,000 - 110,000; Full time

Job summary

NCR Eduservices Pvt. Ltd. is seeking an Assistant Professor of Computer Science with a specialization in Cyber Security to deliver online courses and mentor students in a remote setting.

The role requires a Ph.D. in Computer Science (Cyber Security), strong communication skills, and a passion for teaching in an online environment. The candidate will manage online lectures, guide learners via LMS and chat, and contribute to course materials while ensuring high academic standards.

Qualifications

• Ph.D. in Computer Science (Cyber Security) discipline.
• Minimum 3 years of relevant teaching experience in Computer Science.
• At least 2 years of teaching or tutoring experience is mandatory.
• Strong subject knowledge in Cybersecurity, with relevant expertise in AI/ML or related areas.
• Experience teaching undergraduate or postgraduate students is highly desirable.

Responsibilities

• Manage and support online lectures in Computer Science and Cyber Security courses.
• Provide academic guidance and mentorship to students through LMS, Email, Chat.
• Explain complex technical concepts in a clear and student-friendly manner.
• Respond promptly to academic queries and provide timely support to students.
• Evaluate assignments, projects, and assessments while providing constructive feedback.
• Monitor student progress and recommend interventions where necessary.
• Collaborate with academic coordinators and faculty members to maintain consistency in course delivery and assessment standards.
• Develop and update course materials, presentations, and academic resources.
• Support curriculum enhancement initiatives aligned with current industry trends.
• Maintain accurate academic records and ensure adherence to institutional quality standards.

Skills

Online teaching

English communication

Mentoring

LMS familiarity

Cybersecurity knowledge

Education

Ph.D. in Computer Science (Cyber Security)

Tools

Canvas

Moodle

Blackboard

Job description

Company: NCR Eduservices Pvt. Ltd.
Hiring For: Assistant Professor Cyber Security
Job Type: Full-Time | Work From Home
Qualification: Ph.D. in Computer Science (Cybersecurity)
Experience: Min 3 Years
Working Days: Monday to Saturday (Sundays off and two Saturdays off per month)
Shift Timing: 3:30 PM - 12:30 AM IST
Mode of Communication: Chat, Audio, and Video

Max Age : 35

About NCR Eduservices

NCR Eduservices Pvt. Ltd. is a leading provider of educational services, offering solutions in e-tutoring, content development, academic delivery quality management, and back-office support. The company partners with educational organizations to improve learning outcomes, academic quality, and accessibility. Its ISO 9001:2015 and ISO 27001:2013 certifications reflect its commitment to quality management and information security.

Job Overview

We are looking for a knowledgeable and student-focused Assistant Professor Computer Science with expertise in Cybersecurity. The ideal candidate will have strong academic knowledge, relevant teaching experience, excellent communication skills, and the ability to explain complex technical concepts effectively in an online learning environment.

The selected candidate will support students through academic mentoring, online discussions, assessment, and learning resource development while maintaining high standards of academic delivery.

Key Responsibilities

• Manage and support online lectures in Computer Science and Cyber Security courses.
• Provide academic guidance and mentorship to students through LMS, Email, Chat.
• Explain complex technical concepts in a clear and student-friendly manner.
• Respond promptly to academic queries and provide timely support to students.
• Evaluate assignments, projects, and assessments while providing constructive feedback.
• Monitor student progress and recommend interventions where necessary.
• Collaborate with academic coordinators and faculty members to maintain consistency in course delivery and assessment standards.
• Develop and update course materials, presentations, and academic resources.
• Support curriculum enhancement initiatives aligned with current industry trends.
• Maintain accurate academic records and ensure adherence to institutional quality standards.

Required Qualifications

• Ph.D. in Computer Science (Cyber Security) discipline.
• Minimum 3 years of relevant teaching experience in Computer Science.
• At least 2 years of teaching or tutoring experience is mandatory.
• Strong subject knowledge in Cybersecurity, with relevant expertise in AI/ML or related areas.
• Experience teaching undergraduate or postgraduate students is highly desirable.

Required Skills

• Excellent spoken and written English communication skills.
• Clear, professional, and student-friendly communication during chat, audio, and video interactions.
• Strong presentation, mentoring, and interpersonal skills.
• Ability to explain complex technical concepts to students with varying levels of understanding.
• Strong analytical, organizational, and problem-solving abilities.
• Ability to work independently in a remote academic environment.
• Proficiency in online teaching tools and virtual learning platforms.

Preferred Skills

• Experience with Learning Management Systems (LMS) such as Canvas, Moodle, Blackboard, or similar platforms.
• Familiarity with online assessment tools and plagiarism-detection software.
• Experience developing academic content, course materials, and assessments.

Technical Expertise

Candidates should have strong knowledge in one or more of the following areas:

• Cybersecurity Fundamentals and Governance
• Network Security and Intrusion Detection
• Legal Aspects and Compliance
• Cryptography and Secure Communications
• Data Analytics and Risk Management
• Generative AI in Cybersecurity
• Business Resilience and Response Strategies
• Behavioural Cybersecurity
• Cloud and IoT Security
• Secure Software Development
• Critical Thinking and Problem-Solving
• Leadership & Communication in Cybersecurity Model Evaluation and AI Applications