Data Science
Candidates must have a Ph.D. in Computer Science or Statistics allied areas from a reputed institution, and a good research record and background. While candidature in all areas of Data Science would be considered, the following sub-areas are currently of special interest:
- Data Visualization, Data Analytics, Big Data Analytics, Optimization Techniques, High Performance Computing, Cloud computing, Social network analysis, Modeling and Simulation
Minimum Eligibility Criteria (all disciplines except design area candidates)
(i) Ph. D. with a first class or equivalent in the preceding degree and an excellent academic record throughout; and
(ii) A strong research record with publications in reputed journals and conferences.
Assistant Professor
Ph.D. with strong research capabilities and a strong passion for teaching at undergraduate and postgraduate levels. Postdoctoral experience is preferred.
Associate Professor
A minimum of six years post-Ph.D. teaching/research/professional experience of which at least three years should be at the level of Assistant Professor at higher educational institutions. A strong research record as evidenced by publications, external research grants /projects, and experience in doctoral supervision is expected.
We also welcome applications from candidates with a strong research background and relevant industry experience.
Application Process
Prospective candidates should send an email to dean_faculty[at]daiict[dot]ac[dot]in with Subject as “Faculty position in Disciplines/Areas (e.g. Computer Science, Humanities & Social Sciences)". Please attach the following to your email:
- CV with details about your education starting 12th standard board exams (mention marks/CGPA, year of passing, specialization if any), work experience, and publications. Please provide names of three references who may be contacted for a letter of reference in support of your candidature.
- A research statement giving research background, research outcomes, and future research plans.
- A teaching statement giving teaching methodology, teaching experience, foundation/core courses you would like to teach, and elective courses you would like to teach.