Head of the department (IT/ Cybersecurity)

An Associate Professor is a mid-to-senior academic position in colleges and universities, typically above Assistant Professor and below Professor.

Joining:Immiate Joining

Qualifications:

In many institutions, especially in India:

• Ph.D. in a relevant discipline
• Teaching/research experience (often 8+ years)
• Research publications in indexed journals
• API score/research contributions as per institutional norms
• Eligibility criteria based on UGC or AICTE guidelines

Skills Required:

• Subject expertise in the specialization area
• Research and publication skills
• Classroom and laboratory management
• Communication and mentoring
• Leadership and academic coordination
• Technical and industry-oriented knowledge

Main Responsibilities:

• Teaching undergraduate and postgraduate students
• Conducting research and publishing papers
• Guiding student projects, internships, and theses
• Developing curriculum and course materials
• Participating in academic administration
• Applying for research grants and patents
• Mentoring junior faculty and students
• Contributing to accreditation activities such as NBA/NAAC

Technical / Domain Skills:

• Programming languages: Java, Python, C, C++, JavaScript
• Database systems: SQL, NoSQL, data modeling
• Software engineering and system design
• Artificial Intelligence & Machine Learning
• Data Science & Big Data Analytics
• Cloud Computing (AWS, Azure, Google Cloud)
• Cybersecurity and Network Security

Research Skills:

• Research methodology and experimental design
• Publishing in SCI/Scopus journals
• Writing research proposals and grant applications
• Patent filing and innovation development
• Data analysis and statistical tools
• Literature review and technical documentation
• Conference presentation and paper reviewing

Career Progression:

Assistant Professor → Associate Professor → Professor → Dean/HOD/Research Director

In conclusion, an Associate Professor plays a vital role in higher education by balancing teaching, research, student mentoring, and academic leadership. The position requires strong subject expertise, continuous learning, research contributions, and effective communication skills. Associate Professors contribute significantly to institutional growth, innovation, and the overall development of students and academic programs.

echnical Skills

• Programming Languages: Python, Java, C, C++, R, JavaScript
• Data Structures and Algorithms
• Database Management Systems (MySQL, Oracle, MongoDB)
• Artificial Intelligence and Machine Learning
• Data Science and Analytics
• Cloud Computing (AWS, Azure, Google Cloud)
• Cyber Security and Network Security
• Internet of Things (IoT)
• Software Engineering and Software Testing
• Operating Systems and Computer Networks
• Web and Mobile Application Development
• DevOps and Containerization (Docker, Kubernetes)
• Research Methodology and Statistical Analysis Tools (SPSS, R, Python)

Teaching and Academic Skills

• Curriculum Design and Development
• Outcome-Based Education (OBE) Implementation
• Course Planning and Delivery
• Student Mentoring and Academic Advising
• Assessment and Evaluation Techniques

Research Skills

• Research Proposal Writing
• Publication in SCI, Scopus, and UGC Care Journals
• Patent Filing and Intellectual Property Rights (IPR)
• Conference Paper Presentation
• Research Collaboration and Networking

Leadership and Administrative Skills

• Departmental Planning and Coordination
• Faculty Development and Mentoring
• Accreditation Processes (NBA, NAAC, NIRF, ABET)
• Academic Administration and Policy Implementation
• Industry-Academia Collaboration
• Industry and Professional Skills
• Consultancy and Industry Projects
• Internship and Placement Coordination
• Entrepreneurship and Startup Mentoring

Soft Skills

• Effective Communication and Presentation
• Leadership and Team Management
• Problem-Solving and Critical Thinking
• Decision-Making Skills
• Interpersonal and Relationship Management
• Time Management and Organizational Skills
• Key Competencies
• Academic Excellence
• Quality Assurance and Accreditation Compliance
• Collaboration and Stakeholder Management

These skills are typically expected for an Associate Professor in CSE with teaching, research, and administrative responsibilities in higher educational institutions.

Essential Educational Qualifications

• Ph.D. in Computer Science and Engineering (CSE) or a relevant discipline from a recognized university.
• Master's Degree (M.E./M.Tech.) in Computer Science and Engineering or a related field with a consistently good academic record.
• Bachelor's Degree (B.E./B.Tech.) in Computer Science and Engineering or a related discipline.

Experience Requirements (as per AICTE/UGC norms – typical)

• Minimum 8 years of teaching, research, and/or industry experience after obtaining a postgraduate degree.
• At least 2 years of experience at the level of Assistant Professor Grade I or equivalent in a recognized institution.
• Proven track record of teaching undergraduate and postgraduate courses.

Educational Qualifications

• B.E./B.Tech in CSE or related field
• M.E./M.Tech in CSE (mandatory for most colleges)
• Ph.D. in CSE (required for universities, IITs/NITs, and highly preferred everywhere)
• Qualifying exams like UGC NET or GATE can strengthen your profile 

Core Technical Skills

Strong foundation in:

• Data Structures & Algorithms
• Operating Systems
• Computer Networks
• Database Management Systems
• Object-Oriented Programming (Java, C++, Python)

Specialized areas (choose 1–2):

• Artificial Intelligence / Machine Learning
• Cybersecurity
• Cloud Computing
• Data Science
• Software Engineering

Teaching & Communication Skills

• Ability to explain complex topics clearly
• Presentation skills (PowerPoint, whiteboard teaching)
• Curriculum design and lesson planning
• Student engagement and mentoring 

Job Title: Associate Professor – Computer Science Engineering (CSE)

Department: CSE

Job Summary:

The Associate Professor (CSE) is responsible for teaching core computer science subjects, training students in programming and emerging technologies, and contributing to research and academic excellence.

Key Responsibilities:

• Teach subjects like Data Structures, Algorithms, DBMS, Operating Systems, and Programming Languages
• Train students in coding, software development, and industry-relevant skills
• Conduct lab sessions, workshops, and technical training programs
• Evaluate students through exams, assignments, and projects
• Guide students in internships, mini-projects, and final-year projects
• Participate in curriculum development and research activities

Qualifications:

• M.E./M.Tech in Computer Science or related field
• Ph.D. (preferred)
• NET/SET (if applicable)

Skills Required:

• Strong programming knowledge (Java, Python, C++, etc.)
• Teaching and technical training skills
• Knowledge of latest technologies (AI, Data Science, Cloud, etc.)
• Research and analytical skills

Experience:

• 3–8 years of teaching/industry experience

Role Overview

We are looking for a passionate Computer Science Faculty to train and mentor students in computer

science concepts and practical applications while helping them develop industry-relevant technical skills.

Key Responsibilities

• Conduct hands-on practical training sessions in Computer Science.

• Explain programming and technical concepts through practical applications.

• Conduct coding exercises, assignments, projects, and assessments.

• Monitor student attendance, assessment scores, assignment performance, and learning progress.

• Provide continuous technical mentoring and guidance.

• Help students develop industry-relevant technical skills.

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

• Support students in securing internships and provide continuous guidance.

• Keep students updated with relevant industry trends and technologies.

• Ensure students achieve periodic learning targets and outcomes.

• Work effectively in a corporate-style training environment.

Preferred Candidates

• Prior Computer Science teaching/training experience preferred.

• Strong technical and programming knowledge.

• Strong communication and presentation skills.

• Good classroom management skills.

• Passion for teaching and mentoring students.

• Immediate joiners preferred

Qualification

• PG qualification in Computer Science

• UGC NET/SET in Computer Science OR completed PhD in Computer Science / relevant specialization

Cyber Security Expert

We are seeking a highly skilled Cyber Security Expert with strong expertise in AI-driven

security tools and ethical hacking techniques. The ideal candidate will safeguard our digital

infrastructure, proactively identify vulnerabilities, and design intelligent defense mechanisms

against evolving cyber threats.

Key Responsibilities

• Threat Analysis: Identify, assess, and mitigate potential risks across systems and

networks.

• AI Security Tools: Deploy and manage AI-based solutions for intrusion detection,

anomaly monitoring, and predictive threat modelling.

• Ethical Hacking: Conduct penetration testing, simulate cyber-attacks, and recommend

remediation strategies.

• Incident Response: Lead investigations, contain breaches, and implement recovery

measures.

• Compliance & Governance: Ensure adherence to data protection laws, industry

standards, and organizational policies.

• Training & Awareness: Educate employees on best practices and emerging threats.

Required Skills & Qualifications

• Proven hands-on experience with AI-powered security platforms (e.g., SIEM, SOAR,

ML-based anomaly detection).

• Strong knowledge of ethical hacking tools (Metasploit, Burp Suite, Kali Linux, etc.).

• Expertise in network security, firewalls, IDS/IPS, and endpoint protection.

• Familiarity with cloud security (AWS, cloud platform).

• Proficiency in scripting languages (Python, Bash, PowerShell) for automation.

• Solid understanding of cryptography, authentication protocols, and secure coding

practices.

Cybersecurity Engineer – AI Training Project

About the Opportunity

We’re looking for experienced Cybersecurity Engineers to contribute technical expertise to a customer project focused on improving the capabilities of next-generation AI systems.

In this role, you’ll use your real-world experience in cybersecurity, software engineering, vulnerability assessment, and secure development to create high-quality technical inputs that help AI systems better understand, debug, secure, and reason about complex software.

What You’ll Do

• Analyze, debug, and resolve software bugs, vulnerabilities, and security issues across complex codebases.
• Review source code and identify potential security weaknesses, vulnerabilities, and attack vectors.
• Perform security assessments, vulnerability assessments, penetration testing, and codebase audits.
• Develop and modify software using languages such as Python, Java, Rust, Go, C++, or TypeScript.
• Implement new features and fix existing functionality while maintaining strong security and engineering standards.
• Refactor legacy code to improve security, maintainability, reliability, and performance.
• Work on backend systems and help optimize applications for scalability, performance, and security.
• Analyze real-world security scenarios and translate your expertise into high-quality technical examples and problem-solving tasks.
• Document technical findings, vulnerabilities, debugging approaches, and recommended solutions.
• Provide domain expertise that helps improve how AI systems reason about software engineering and cybersecurity problems.

What We’re Looking For

• Strong professional experience in Cybersecurity / Application Security / Product Security / DevSecOps / Penetration Testing / Vulnerability Management.
• Strong programming experience in one or more of:
• Python
• Java
• Rust
• Go
• C++
• TypeScript
• Proven experience with debugging, troubleshooting, and fixing complex software issues.
• Hands-on experience with penetration testing, vulnerability assessment, security auditing, or application security.
• Understanding of secure software development practices and modern security threats.
• Strong knowledge of data structures, algorithms, software architecture, and code quality.
• Ability to review unfamiliar codebases and quickly understand how systems work.
• Strong written communication and the ability to explain complex technical findings clearly.

Nice to Have

• Experience with OWASP, API security, cloud security, DevSecOps, or threat modeling.
• Experience performing security assessments on production applications or enterprise systems.
• Experience with tools such as Burp Suite, Metasploit, Nmap, Wireshark, SAST/DAST tools, or vulnerability scanners.
• Contributions to open-source security or software projects.
• Experience working with AI/ML systems, LLMs, data annotation, or AI training projects.
• Relevant security certifications such as OSCP, OSWE, CEH, CISSP, Security+, or equivalent practical experience.

Engagement

• Role: Cybersecurity Engineer
• Work: Remote(Contract)
• Experience: Mid-level to Senior
• Programming: Required
• Cybersecurity expertise: Required

Why Join?

This is an opportunity to apply your existing cybersecurity expertise to an emerging area of technology. Your practical experience debugging software, identifying vulnerabilities, securing applications, and solving complex engineering problems will directly contribute to improving the capabilities of next-generation AI systems.

If you enjoy breaking down complex technical problems, finding vulnerabilities, fixing software, and thinking deeply about how systems work, this project could be a strong fit.

About the role

EOR SOFTWARE LTD is a UK-registered software development company.

We are looking for a Cybersecurity Technical Specialist based in India who can quickly study unfamiliar products, prepare for technical discussions, and participate in live calls with software vendors in English.

Responsibilities

• Study vendors’ products and the prepared documentation before each call.

• Quickly understand the product’s purpose, architecture, deployment, integrations, licensing, and limitations.

• Collect missing information from the internal technical team using a short checklist.

• Participate in vendor calls in English and present the agreed use case.

• Ask clarifying questions and document requirements, limitations, and next steps.

• Never guess or invent technical information. If an answer has not been confirmed, explain that the information will be checked with the technical team and provided later.

• Prepare a short, structured summary after each call.

Requirements

• Strong spoken English at a practical B2+ level or higher.

• 2–5 years of relevant professional experience.

• Knowledge of Windows and network fundamentals, endpoint security, AV/EDR, vulnerability management, penetration testing, and Red Team concepts.

• Ability to understand technical questions and clearly explain cybersecurity concepts without relying on a prepared script.

Relevant professional backgrounds may include cybersecurity technical or product support, security consulting, SOC L2, endpoint security, solutions engineering, technical presales, and junior or mid-level penetration testing.

Engagement and compensation

• Fully remote, part-time contractual engagement.

• No fixed monthly working hours.

• Approximately 5–10 completed vendor calls per month.

• Calls are arranged in advance and require availability during agreed periods overlapping with European business hours.

• Compensation is USD 30 before taxes per completed vendor call.

• Expected monthly compensation is USD 150–300, depending on the number of completed calls.

• This is not a full-time salaried position. The annual salary range displayed on the platform is an estimated annual equivalent based on the expected call volume.

Selection process

• Short screening call with the manager, including a live English conversation.

• Rapid-learning exercise based on public documentation for an unfamiliar cybersecurity product.

• Short simulated vendor call focused on product understanding, technical communication, and handling unknown questions.

• Final interview.

Offensive-security tasks will not be performed during the assessment.