Assistant Professor, Associate Professor and Professor-Data Sciences

ASSISTANT PROFESSOR – DATA SCIENCES

Department

Data Sciences

Position

Assistant Professor

Employment Type

Full-Time

About the Department

The Department of Data Sciences is committed to excellence in teaching, research, innovation, and industry engagement in the domains of Artificial Intelligence, Data Science, Machine Learning, and emerging digital technologies. The department seeks passionate educators and researchers who can contribute to academic excellence and foster innovation among students.

Qualifications

Essential

• B.E./B.Tech. and M.E./M.Tech. in Computer Science & Engineering, Data Science, Artificial Intelligence, Information Technology, Data Analytics, or related disciplines with First Class throughout.
• Ph.D. in the relevant discipline is desirable and will be preferred.

Preferred

• Demonstrated teaching or research experience in reputed institutions.
• Publications in reputed Scopus/Web of Science indexed journals and conferences.
• Industry certifications in AI, Data Science, Cloud Computing, or related domains.

Areas of Specialization

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Generative AI and Large Language Models (LLMs)
• Natural Language Processing
• Computer Vision
• Data Analytics and Data Visualization
• Big Data Technologies
• Internet of Things (IoT)
• Blockchain Technologies
• MLOps and AI Engineering
• Predictive and Forecasting Analytics

Key Responsibilities

Academic

• Deliver high-quality classroom and laboratory instruction.
• Develop course materials, lesson plans, and laboratory exercises.
• Conduct student assessment, evaluation, and examination-related activities.
• Mentor and guide students in academic and professional development.
• Support accreditation and quality assurance initiatives.

Research and Innovation

• Publish research articles in reputed journals and conferences.
• Initiate collaborative research projects.
• Apply for research grants and funded projects.
• Guide student projects and innovation activities.

Institutional Responsibilities

• Participate in departmental and institutional committees.
• Contribute to curriculum development and revision.
• Engage in outreach, training programs, workshops, and seminars.
• Undertake additional responsibilities assigned by the Head of Department, Dean, or University administration.

Skills Required

• Teaching and Learning
• Research and Publications
• Communication and Presentation
• Curriculum Development
• Industry Collaboration
• Academic Administration

ASSOCIATE PROFESSOR – DATA SCIENCES

Department

Data Sciences

Position

Associate Professor

Employment Type

Full-Time

Qualifications

Essential

• B.E./B.Tech. and M.E./M.Tech. with First Class in relevant disciplines.
• Ph.D. in the relevant area.
• Minimum 8 years of teaching, research, or industry experience, of which at least 3 years should be at the level of Assistant Professor or equivalent.

Preferred

• Strong publication record in Scopus/Web of Science indexed journals.
• Experience in supervising Ph.D. scholars.
• Evidence of funded research projects, consultancy, patents, or technology transfer activities.

Areas of Specialization

• Artificial Intelligence
• Machine Learning
• Deep Learning
• Generative AI and LLM Applications
• Data Engineering
• Computer Vision
• Natural Language Processing
• MLOps
• Big Data Analytics
• IoT and Edge AI
• Blockchain and Distributed Systems

Key Responsibilities

Academic Leadership

• Deliver advanced undergraduate and postgraduate courses.
• Mentor junior faculty members.
• Lead curriculum design and academic innovation initiatives.
• Ensure academic quality and outcome-based education practices.

Research and Consultancy

• Lead research groups and interdisciplinary projects.
• Secure external funding through sponsored research proposals.
• Supervise doctoral scholars and postgraduate dissertations.
• Publish high-impact research and pursue patents and intellectual property.

Administration and Institutional Development

• Coordinate academic programs and accreditation activities.
• Serve on institutional committees and strategic initiatives.
• Strengthen industry partnerships and collaborative programs.
• Contribute to faculty development and institutional growth.

Skills Required

• Academic Leadership
• Research Management
• Grant Writing
• Doctoral Supervision
• Industry Collaboration
• Strategic Planning

PROFESSOR – DATA SCIENCES

Department

Data Sciences

Position

Professor

Employment Type

Full-Time

Qualifications

Essential

• B.E./B.Tech. and M.E./M.Tech. with First Class in relevant disciplines.
• Ph.D. in Data Science, Computer Science, Artificial Intelligence, Information Technology, or related fields.
• Minimum 10 years of teaching, research, and/or industry experience, of which at least 5 years should be at the level of Associate Professor or equivalent.

Preferred

• Significant record of publications in high-impact journals.
• Successful supervision of multiple Ph.D. scholars.
• Demonstrated leadership in funded research projects.
• Proven record of patents, technology commercialization, consultancy, or innovation initiatives.
• Experience in accreditation, academic administration, and institutional development.

Areas of Specialization

• Artificial Intelligence and Generative AI
• Machine Learning and Deep Learning
• Large Language Models
• Data Science and Advanced Analytics
• Natural Language Processing
• Computer Vision
• AI Governance and Responsible AI
• Big Data Engineering
• Cloud and Distributed Computing
• IoT and Smart Systems
• Cyber-Physical Systems
• Emerging Digital Technologies

Key Responsibilities

Academic and Strategic Leadership

• Provide leadership in teaching, research, and academic administration.
• Design and launch innovative academic programs.
• Drive outcome-based education and continuous quality improvement.
• Mentor faculty and research scholars.

Research Excellence

• Lead major funded research projects.
• Establish research centers and industry collaborations.
• Enhance the University’s research profile through publications, patents, and innovation.
• Supervise doctoral and post-doctoral research activities.

Institutional Leadership

• Participate in policy formulation and strategic planning.
• Lead accreditation, ranking, and quality assurance initiatives.
• Foster international collaborations and partnerships.
• Support resource mobilization and institutional growth.

Community and Industry Engagement

• Provide consultancy services and technical expertise.
• Promote entrepreneurship, innovation, and start-up ecosystems.
• Strengthen industry-academia partnerships.
• Contribute to societal and community development initiatives.

Skills Required

• Academic Leadership
• Research Leadership
• Strategic Planning
• Institutional Development
• Innovation and Entrepreneurship
• Industry and International Collaboration
• Policy Formulation and Governance