PES University
Website:
pes.edu
Job details:
Company Description PES University is committed to providing education of exemplary quality that prepares students to solve real-world problems and lead meaningful lives. The University offers a strong academic environment, a supportive study culture, and extensive opportunities for holistic skill development. With a focus on discipline and personal growth, PES University encourages learners to unlock and realize their full potential as competent professionals and responsible citizens. The institution emphasizes collaboration among students, staff, and families to create a nurturing environment and aspires to be among the leading universities globally. PES University invites prospective community members to contribute to and benefit from its learner-centered, values-driven ecosystem.
Role Description The Assistant/Associate Professor in CSE (AI & ML) role is a full-time, on-site position based at PES University in Bengaluru. Responsibilities include designing and delivering undergraduate and postgraduate courses in Computer Science with a focus on Artificial Intelligence and Machine Learning, using innovative and inclusive teaching methods. The role involves supervising student projects, guiding research, publishing in reputed conferences and journals, and contributing to curriculum development in emerging AI & ML areas. Daily activities include mentoring students, conducting assessments, maintaining high academic standards, and participating in departmental and university committees. Faculty members are also expected to engage with industry and research partners, contribute to accreditation and quality assurance initiatives, and support outreach activities of the University.
Qualifications
- Strong foundation in Computer Science and Engineering, with advanced expertise in Artificial Intelligence and Machine Learning.
- Proficiency in core AI & ML areas such as supervised and unsupervised learning, deep learning, data science, and related computational methods.
- Ability to design and deliver structured courses, develop learning materials, and evaluate student performance effectively.
- Demonstrated research aptitude, including problem formulation, experimentation, data analysis, and scholarly publication.
- Effective classroom management, mentoring, and guidance skills to support diverse learners and foster an inclusive learning environment.
- Strong communication and collaboration skills for working with colleagues, industry partners, and academic bodies.
- Relevant academic qualifications, typically a Master’s degree (M.Tech/M.S) in CSE or related field; Ph.D. in CSE/AI/ML or closely allied discipline is highly preferred.
- Experience in academic or research institutions, participation in funded projects, and contributions to curriculum or lab development are beneficial.
- Commitment to continuous professional development, ethical academic practices, and alignment with the values and vision of PES University.
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