Assistant Professor – Centre of Artificial IntelligenceRole ProfilePosition DetailsPosition: Assistant ProfessorDepartment: Centre of Artificial IntelligenceReports To: Dean/Director/Head, Centre of Artificial IntelligenceRole Type: Teaching, Research, Training, Innovation, and University-wide AI IntegrationJob PurposeThe Assistant Professor will contribute to teaching, research, innovation, capacity building, and AI adoption across the university. The role involves delivering AI-related courses, conducting interdisciplinary research, supporting faculty and students, developing AI literacy initiatives, and enabling responsible AI integration in academic and administrative functions.Educational QualificationsEssential- Qualifications as per applicable UGC/AICTE/University norms.- B.E./B.Tech. and M.E./M.Tech. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology, Electronics, Robotics, Cybersecurity, or allied disciplines;
OR- Master’s Degree inAI, Computer Science, Data Science, Statistics, Mathematics, Computational Sciences, Information Technology, Computer Applications, or related fields.Desirable- Ph.D. in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Engineering, or interdisciplinary AI domains.- UGC-NET/SET/SLET qualification where applicable.- Publications in reputed indexed journals and conferences.- Experience in funded projects, consultancy, patents, technology development, or AI innovation.- Professional certifications and hands-on expertise in AI tools, Python, machine learning frameworks, cloud platforms, and Generative AI.Required CompetenciesTechnical Skills- Strong knowledge of AI, Machine Learning, Data Science, Deep Learning, NLP, Computer Vision, and Generative AI.- Proficiency in Python and AI/ML libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, OpenCV, and Hugging Face.- Experience with data analytics, model development, cloud AI platforms, and prompt engineering.- Understanding of AI ethics, privacy, cybersecurity, transparency, and responsible AI practices.Academic & Training Skills- Ability to teach undergraduate, postgraduate, diploma, certificate, and executive programs.- Curriculum development, instructional design, assessment creation, and project-based learning.- Capability to conduct workshops, FDPs, AI literacy programs, and hands-on training sessions.- Student mentoring for projects,



internships, hackathons, research, patents, and entrepreneurship.Research & Innovation Skills- Research publication and proposal-writing capabilities.- Ability to develop interdisciplinary AI projects and industry collaborations.- Experience supporting innovation, patents, consultancy, and technology development.Institutional AI Integration- Ability to identify and implement AI applications across academic and administrative departments.- Development of AI-enabled teaching, research, productivity, and automation solutions.- Capacity to train faculty, staff, and students in practical AI adoption.ExperienceEssential- Teaching, research, or industry experience in AI, ML, Data Science, Computer Science, IT, or allied areas.- Ability to teach theory and laboratory courses in AI-related domains.Desirable- 1–5 years of relevant experience.- Experience in curriculum design, AI projects, training programs, industry collaboration, research, patents, or AI laboratory development.Key ResponsibilitiesTeaching & Academic Activities- Deliver courses in AI, Machine Learning, Data Science, Python, Analytics, Generative AI, and emerging technologies.- Develop course materials, laboratory manuals, assignments, and assessments.- Conduct practical sessions and promote experiential learning.- Mentor students for projects, internships, competitions, and research activities.- Support development of new AI-focused academic programs and interdisciplinary offerings.Research & Publications- Conduct high-quality research and publish in reputed journals and conferences.- Develop interdisciplinary research initiatives.- Prepare research proposals for external funding.- Support patents, innovation, consultancy, and industry-sponsored projects.University-Wide AI Integration- Facilitate AI adoption across academic schools and administrative units.- Assist faculty in integrating AI tools into teaching, research, content development, and analytics.- Conduct AI literacy and awareness programs for stakeholders.- Support development of AI policies,



implementation plans, and governance frameworks.- Promote ethical, responsible, and transparent AI use.Laboratory & Infrastructure Development- Support establishment and operation of AI laboratories, software platforms, and computing infrastructure.- Maintain technical resources, datasets, documentation, and learning environments.- Coordinate with industry partners for laboratory enhancement and collaborative initiatives.Training & Capacity Building- Conduct faculty development programs on AI, Generative AI, data analytics, and educational technologies.- Deliver student training programs in AI, ML, Python, and emerging technologies.- Train non-teaching and administrative staff on AI-enabled productivity and automation tools.- Develop structured learning resources and training materials.Industry Collaboration & Outreach- Build partnerships with industry, start-ups, research institutions, and government organizations.- Facilitate internships, certifications, live projects, consultancy assignments, and team-oriented programs.- Organize conferences, workshops, hackathons, expert talks, and innovation events.- Represent the Centre in academic and industry forums.Institutional Responsibilities- Assist in planning, documentation, reporting, and implementation of AI initiatives.- Participate in committees, curriculum development, examinations, admissions, and accreditation-related activities.- Support documentation for NAAC, NBA, NIRF, rankings, and quality assurance processes.Expected Outcomes- Effective delivery of AI-related academic programs.- Enhanced AI literacy and adoption across the university.- Increased research publications, funded projects, patents, and innovations.- Strong industry-academia collaborations.- Development of the Centre of Artificial Intelligence as a leading hub for teaching, research, training, and innovation.- Improved student employability, entrepreneurship, and future-ready skills.Key Performance Indicators (KPIs)- Teaching effectiveness and student outcomes.- Research publications, patents, grants, and consultancy.- AI integration initiatives across departments.- Training programs conducted and stakeholders trained.- Laboratory utilization and project support.- Industry partnerships, internships, and collaborative activities.- Contributions to institutional development and accreditation.

📌 Assistant Professor (General Management Area) - Shirpur Campus (Solapur)
🏢 Indira University
📍 Solapur