OPEN POSITIONS

  1. Post Doctoral Researcher
    Open
    • Position Overview:
        The Centre for Infrastructure, Sustainable Transportation and Urban Planning (CiSTUP) at the Indian Institute of Science (IISc) invites applications for a full-time Post-Doctoral Researcher in the area of driving-behavior modeling and traffic simulation. The selected candidate will work under the supervision of Prof. Vijay Kovvali and will contribute to research involving the development, calibration, and implementation of driving-behavior models using advanced simulation tools. Qualified candidates with experience in microscopic simulation, data-driven traffic analysis, or mixedtraffic behavior in Indian conditions are strongly encouraged to apply.

        This is a one-year full-time on-site appointment with the possibility of extension contingent on performance and project requirements. The preferred start date is as early as possible.


    • Job Description:

    • 75% — Research

      • Conduct and oversee simulation-based research on driving behavior and mixed-traffic flow
      • Develop, test, and refine modeling interfaces in platforms such as SUMO.
      • Incorporate Indian driving behavior characteristics into simulation environments.
      • Analyze simulation data and traffic datasets for model calibration and validation
      • Prepare manuscripts for peer-reviewed journals and conference publications.
      • Assist in the preparation of research proposals and project reports.

    • 15% — Reporting and Dissemination

      • Present research updates in internal and external meetings.
      • Prepare technical documentation, reports, and presentations.
      • Participate in seminars, workshops, and academic conferences.

    • 10% — Mentoring / Academic Contribution

      • Assist in mentoring graduate students and interns.
      • Support academic and research-related activities within CiSTUP, IISc.

    • Required Qualifications

      • PhD (completed or thesis submitted) in Transportation Engineering, Traffic Engineering, Civil Engineering, Computer Science, Data Science, or a related field by the date of appointment.
      • Strong written communication skills as demonstrated through publications, reports, or thesis work.
      • Experience working in simulation-based traffic research, modeling, or computational analysis.
      • Demonstrated ability to work in a team environment and meet research deadlines.

    • Preferred Qualifications

      • Mandatory: Hands-on experience with SUMO (Simulation of Urban Mobility).
      • Programming experience in Python and/or C++ for simulation control or model development.
      • Experience with driver behavior modeling, mixed-traffic flow, and microscopic simulation.
      • Familiarity with TraCI API, VISSIM, or similar simulation platforms.
      • Experience in data-driven calibration, optimization, and validation (e.g., GA, PSO, statistical methods).
      • Strong analytical and scientific writing skills as evidenced in application materials.
      • Record of peer-reviewed publications, project participation, or proposal development.

    • General Information

      • Candidates must arrange their own accommodation.
      • Expected work commitment: 40 hours per week.
      • Preference will be given to candidates available to join immediately.
      • Salary is as per IISc norms based on experience, and skill level.

    • Application Instructions

      In addition to the online application form, candidates must provide:
      • Cover letter describing how they meet the required and preferred qualifications.
      • Resume / CV.
      • List of two (2) professional references
      • Only complete applications will be considered.


    • Application review begins 29 December 2025 (09:00 A.M.) and will continue until the position is filled.


    • How to apply:
  2. Project Staff
    Open
    • Job Description

      The Centre for Infrastructure, Sustainable Transportation and Urban Planning (CiSTUP) at the Indian Institute of Science (IISc) invites applications for a project staff position to support implementation research on driving-behavior modeling using traffic simulation tools. The selected candidate will contribute to ongoing research by conducting hands-on experiments in traffic simulation platforms, developing and refining model interfaces, incorporating Indian traffic behavior into simulation environments, and assisting with the preparation of reports and presentations.


    • General

      • Selected candidates will be required to arrange their own accommodation.
      • Candidates are expected to work 40 hours per week.
      • Preference will be given to candidates who can join immediately.
      • Advertised position is in-person only.
      • Self-motivated, with the ability to work independently and with minimal oversight.
      • Salary is provided based on education level and experience.
      • Duration is one (1) Year (extendable based on performance and project requirements)
      • Last date to apply: 5th December 2025 (05:00 P.M).

    • Essential Qualifications

      • Education: Master’s degree (or higher) in Transportation Engineering / Traffic Engineering / Civil Engineering / Computer Science / Data Science / or related fields.
      • Experience:
      • Hands-on experience with SUMO (Simulation of Urban Mobility) is mandatory.
      • Experience with Python and/or C++ programming for model development or simulation-based research.
      • Familiarity with microscopic traffic simulation, driving behavior modeling, and mixedtraffic flow analysis.

    • Desirable Skills

      • Knowledge of SUMO, VISSIM, TraCI API, or similar simulation platforms.
      • Experience in data-driven model calibration, optimization algorithms (GA, PSO, etc.), and statistical validation methods.
      • Familiarity with traffic data extraction from drone or CCTV videos.
      • Familiarity with GUI design and visualization tools (e.g., Qt, Tkinter, Unity integration).
      • Strong analytical, documentation, and scientific writing skills.

    • How to apply