Executive PhD Programme – ITS & Sustainable Mobility

The programme is strongly aligned with India’s ongoing transformation in transportation infrastructure, particularly the deployment of Multi-Lane Free Flow (MLFF) tolling systems and intelligent mobility platforms. With logistics costs currently estimated at 12–14% of industrial output, reducing these to 6–8% through data-driven and intelligent systems is a national priority. This programme is designed to build capabilities that directly contribute to this transformation, ensuring strong industry relevance and policy alignment.  The programme is designed with a strong focus on South Asia and the broader Global South. It is envisaged that academic inputs, case studies, and collaborative engagements will progressively incorporate expertise and institutional participation from SAARC member countries, enhancing regional relevance and academic inclusivity.

Global and Regional Relevance

Globally, transportation systems are being reshaped by:

• Artificial Intelligence and advanced analytics
• Connected and autonomous mobility
• Climate and sustainability imperatives
• Digital infrastructure and smart cities

A significant gap exists in doctoral-level professionals who can bridge technology, policy, and implementation. This programme addresses that gap through a hybrid academic–industry model.

Discipline

The programme is intended for mid-career and senior professionals, including:

• Transportation and infrastructure engineers
• Government and policy professionals
• Smart city and urban mobility experts
• Logistics and supply chain leaders
• Data, telecom, and digital systems professionals

Participants are expected to bring domain expertise and real-world problem contexts into their research.

• Master’s degree in a relevant discipline
• 10 years of professional experience
• Demonstrated domain expertise and leadership
• Statement of Purpose (research intent)
• Interaction with Admissions / Research Committee

Note: Multidisciplinary backgrounds are encouraged; rigid discipline filters are avoided.

Coming soon..

Assessment & Evaluation

Evaluation follows an Outcome-Based Education (OBE) model:

• Coursework assessments (assignments, case studies, presentations)
• Research proposal evaluation
• Periodic research reviews
• Final evaluation based on outcomes

Doctoral Outputs May Include:

• Peer-reviewed publications
• Recognized colloquia presentations
• Industry-validated solutions
• Policy or technical frameworks

Other modalities:

The modalities such as Progress Monitoring, Duration, Thesis Submission and Evaluation etc. will be governed as per Regulation 13 of SAU Regulations.

1. The interested candidate can apply herealong with the certificates / degrees of educational qualification and other documents, if any, which may possibly strengthen the application.
2. Suitable candidates will be called for an interview by a committee of experts.
3. Successful candidates will be issued the offer letter.

Course Work and Residency Requirement:

Duration: Minimum 3 years; extendable up to 5 years

Format: Hybrid (modular, executive-friendly)

The structure ensures a transition from structured learning to independent, outcome-driven research.