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Faculty Positions in Data Science and Artificial Intelligence

Data Science and Artificial Intelligence

DAU invites applications from outstanding candidates for faculty positions in Data Science and Artificial Intelligence at the Assistant Professor and Associate Professor levels.

While applications from all areas of Data Science and Artificial Intelligence are welcome, the Institute is particularly interested in candidates with expertise in the following domains:

  • Data Visualization and Visual Analytics
  • Data Analytics and Business Analytics
  • Big Data Analytics and Large-Scale Data Processing
  • Statistical Learning and Predictive Analytics
  • Optimization Techniques and Operations Research
  • High-Performance Computing (HPC)
  • Distributed Data Systems
  • Social Network Analysis and Graph Analytics
  • Computational Modeling and Simulation
  • Decision Science and Intelligent Systems
  • Artificial Intelligence and Machine Learning
  • Artificial Intelligence and Ethics

Candidates working at the intersection of Data Science with Artificial Intelligence, Machine Learning, Computational Sciences, Healthcare, Agriculture, Sustainability, and Digital Transformation are particularly encouraged to apply.

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

DAU also welcomes applications from candidates with significant industry experience and a strong research and innovation profile. Professionals who have made substantial contributions in areas such as data-driven decision-making, analytics, artificial intelligence, large-scale computing, industrial R&D, or digital transformation, and who are passionate about teaching and mentoring students, are encouraged to apply.

The University values individuals who can foster strong academia–industry collaborations, contribute to interdisciplinary research initiatives, and help bridge the gap between cutting-edge research and real-world applications.

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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