Asssistant Professor Artificial Intelligence
4 weeks ago
We are seeking a highly motivated and qualified Assistant Professor in Artificial Intelligence & Data Science to join our esteemed institution. The candidate will be responsible for delivering high-quality teaching, conducting cutting-edge research, and contributing to the academic and professional development of students.
Key Responsibilities: Teaching & Curriculum Development:- Develop and deliver undergraduate and postgraduate courses in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, and related fields.
- Design and update course content to reflect the latest advancements in AI and Data Science.
- Guide students in project work, research activities, and internships.
- Utilize modern pedagogical techniques, including online and hybrid teaching methodologies.
- Conduct independent and collaborative research in AI, Machine Learning, Big Data Analytics, and related areas.
- Publish high-quality research papers in reputed journals and conferences.
- Apply for research grants and funding opportunities.
- Collaborate with industry and academic institutions for research and innovation.
- Supervise Ph.D. and Master's students in their research.
- Organize workshops, seminars, hackathons, and industry collaborations
- Develop partnerships with AI and Data Science industries for internships and research collaboration.
- Engage in consultancy projects and government-funded research programs.
- Participate in faculty meetings, department planning, and accreditation processes.
- Support university initiatives, student recruitment, and academic advising.
- Ph.D. in Artificial Intelligence, Data Science, Machine Learning, Computer Science, or a closely related field from a recognized university.
- Candidates with M.Tech/M.E. in AI, Data Science, Computer Science (with specialization in AI/ML), along with significant industry or research experience, may also be considered.
- Prior teaching experience at a university/college level is preferred.
- Strong research background with publications in SCI/Scopus-indexed journals.
- Industry experience in AI, Machine Learning, or Data Science is an added advantage.
- Proficiency in programming languages such as Python, R, Java, or C++.
- Hands-on experience with AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.
- Expertise in Big Data technologies like Hadoop, Spark, and cloud computing (AWS, Azure, GCP).
- Strong communication, mentoring, and leadership skills.
- Experience in AI-driven research projects, patents, or funded projects.
- Participation in international conferences and collaborations.
- Competitive salary as per UGC/AICTE norms.
- Research funding and support for conferences, publications, and workshops.
- Professional development opportunities.
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