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DAU invites applications from outstanding candidates for faculty positions in Computer Science and Artificial Intelligence at the Assistant Professor and Associate Professor levels. While applications from all areas of Computer Science and Artificial Intelligence are welcome, the University is particularly interested in candidates with expertise in the following domains: Computer Systems and Networking: Operating Systems; Computer Networks; Distributed Systems; Cloud Computing; High-Performance Computing. Software Engineering and Data Management: Databases; Data Mining; Data Warehousing; Software Design and Architecture; System Analysis and Design; Code Analysis and Software Quality Assurance; Software Testing and Verification. Human Computer Interaction and Interactive Technologies: Human Computer Interaction (HCI); User Experience (UX) and User Interface (UI) Design; Cognitive Computing; Interaction Design; Intelligent and Adaptive Interfaces; Game Design and Development. Artificial Intelligence and Machine Learning: Machine Learning; Deep Learning; Adversarial Machine Learning; Quantum Machine Learning; Multimodal Learning; Responsible and Trustworthy AI; Reinforcement Learning; Federated Learning; Artificial Intelligence and Ethics. Natural Language Processing and Information Retrieval: Natural Language Processing (NLP); Large Language Models (LLMs); Knowledge Representation and Reasoning; Information Retrieval and Search Technologies. Minimum Eligibility Criteria Candidates must satisfy the following minimum requirements: A Ph.D. degree in a relevant discipline, with a First Class or equivalent grade in the preceding degree(s), and an excellent academic record throughout; and A strong and sustained research record, evidenced by publications in reputed peer-reviewed journals and leading international conferences. Assistant Professor Applicants should possess a Ph.D. degree, demonstrated research potential, and a strong commitment to excellence in teaching at both undergraduate and postgraduate levels. Candidates with postdoctoral research experience and evidence of independent research capability will be given preference. Associate Professor Applicants should have a minimum of six years of post-Ph.D. experience in teaching, research, or relevant professional practice, of which at least three years should be at the level of Assistant Professor (or an equivalent position) at a higher educational institution or research organization. Candidates are expected to have an established record of scholarly achievement, demonstrated through: High-quality publications in reputed journals and conferences; Success in securing externally funded research grants and projects; Experience in supervising doctoral students and mentoring research scholars; and Evidence of academic leadership and professional contributions to the discipline. Industry Professionals The University also welcomes applications from candidates with significant industry experience and a strong research and innovation profile. Professionals who have made substantial contributions to research, product development, technology innovation, or industrial RD and are passionate about teaching and mentoring students are encouraged to apply. The University particularly values candidates who can bridge academia and industry through collaborative research, technology transfer, entrepreneurship, and experiential learning initiatives. Salary per year in Cost to the Institute (CTI) format Assistant Professor: Minimum starting salary is 20 Lakh per annum. (Exceptionally qualified and experienced candidates may be considered for higher compensation and additional incentives commensurate with their credentials, achievements, and potential contributions.) Perquisites Benefits Research Support and Professional Development Seed Research Grant: Up to 10 Lakh to support the establishment of research activities and laboratory infrastructure. Professional Development Allowance: A cumulative allowance of 3 Lakh every three years (on a reimbursable basis) to support participation in national and international conferences, workshops, and other professional development activities. Research Excellence Incentive: Financial reward of 1 Lakh for each publication in top-tier A/A-ranked conferences and Q1 journals. Health, Insurance and Other Benefits Comprehensive Medical Insurance: Health insurance coverage of up to 10 Lakh per annum for the faculty member and eligible family members under a floater policy. The entire premium is borne by the Institute. OPD medical reimbursement: 5000 per month for OPD medical expenses. Children Education Allowances: 50000 per year ( 25000 per child, and coverage up to two children.) Leave Travel Concession: 1.5 Lakh for a 4-year block . Interest free loan up to 5 Lakh . On-campus medical facilities, including visiting doctors and access to basic medicines through the University s Medical Centre. Leave and Work-Life Balance Casual Leave : 8 days per year. Special Casual Leave : 15 days per year. Vacation: Up to 60 days of vacation annually . Unavailed vacation is converted to earned leave (up to 30 days per year). Earned Leave Encashment: Accumulated earned leave is encashable upon separation from the University, as per applicable policies. Career Growth Career Progression (Policy): A transparent and well-defined faculty career advancement framework that recognizes excellence in teaching, research, and institutional service. Teaching Load: Faculty members typically teach three courses per academic year . To facilitate a smooth transition, newly appointed faculty members are assigned a reduced teaching load of two courses during their first year (one course per semester). Research Collaboration and Industry Engagement DAU actively encourages faculty members to pursue collaborative research and innovation initiatives with leading academic institutions, research laboratories, government agencies, and industry partners in India and abroad. The University provides a supportive environment for securing external research funding, undertaking interdisciplinary projects, and translating research outcomes into societal and industrial impact. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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