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Faculty Positions in Computer Science and Artificial Intelligence

Computer Science and Artificial Intelligence

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:

  1. 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
  2. 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 R&D 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.

Application Process

Prospective candidates are invited to submit their applications via email to dean_faculty@dau.ac.in with the subject line:

“Application for Faculty Position in [Discipline/Area]”

(e.g., Computer Science, Artificial Intelligence, Data Science, Electronics and VLSI Design, Communications and Signal Processing, Mathematics and Statistics, Humanities and Social Sciences, Interaction Design)

The application should include the following documents:

1. Curriculum Vitae (CV)

The CV should provide comprehensive information on:

  • Educational qualifications, beginning from Class XII (or equivalent), including institution name, year of completion, marks/CGPA, and area of specialization, where applicable;
  • Academic, research, industrial, and professional experience;
  • Publications in journals, conferences, books, patents, and other scholarly outputs;
  • Research projects, grants, awards, recognitions, and professional activities;
  • Contact details of three referees who may be approached to provide letters of recommendation in support of the application.

2. Research Statement

A concise statement describing:

  • Research background and areas of expertise;
  • Key research contributions and outcomes;
  • Ongoing research activities;
  • Short-term and long-term research plans;
  • Potential opportunities for interdisciplinary collaboration and external funding.

3. Teaching Statement

A statement outlining:

  • Teaching philosophy and pedagogical approach;
  • Prior teaching and mentoring experience;
  • Foundation, core, and advanced courses the candidate is qualified and interested to teach;
  • Proposed elective courses aligned with the candidate’s expertise;
  • Contributions to curriculum development, experiential learning, or educational innovation, if any.
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