OPEN POSITIONS

  1. CiSTUP Researcher Positions in Activity-based Travel Demand Modeling
    Open
    • Description

      The Centre for infrastructure, Sustainable Transportation and Urban Planning (CiSTUP) at the Indian Institute of Science (IISc) Bangalore invites applications for multiple positions (post-doctoral fellows and project associates) for a project on developing implementable travel demand models for Bengaluru, India.
      The project involves the development and implementation of traditional (four-step) and agent-based (activity-based) travel demand models, relevant data collection, and interfacing with a software development team and stakeholder agencies. Research topics to be explored include, for example, (a) synthetic population generation in data-poor settings, (b) evaluation of implementable strategies for household travel surveys, (c) enhancing the representation of travel by intermediate public transit, on-demand mobility, and non-motorized modes; (d) the evaluation of transit improvement strategies such as multimodal transit itineraries comprising private and public transit modes and transit priority lanes; and (e) the use of non-conventional data sources and emerging learning methods for travel demand estimation. A greater emphasis is placed on the development of implementable model systems and software tools for mobility demand analysis by city planning agencies.

      The project is funded by the Directorate of Urban Land Transport (DULT) of the Government of Karnataka and Bosch Ltd. IISc will lead the model development efforts, and Bosch will lead the software development efforts. DULT will be involved in model scoping, design of use-cases, and assist in gathering secondary data from public sector entities. It is envisioned that the project outcomes will be useful for adoption by other cities in India (and elsewhere).

    • Eligibility

      • Ph.D. (or submitted Ph.D. thesis)/Master’s/Bachelor’s degree in any relevant domain, with a focus on one or more of the following topics: travel demand modeling, agent-based models, choice models, or household travel surveys and stated preference data collection.

    • Skills Expected

      • Expertise in travel demand analysis, choice modeling, econometrics, agent-based modeling/simulation, and relevant data collection
      • Strong programming skills (Python, C/C++, Java, databases, R)
      • Experience with commonly used travel demand modeling packages (Cube, TransCAD, etc.)
      • Excellent oral communication and technical writing skills
      • Independent researchers who can lead project efforts and interact with external stakeholders

    • Work description

      • Technical: design household survey questionnaire; guide survey administration; develop and implement algorithms for synthetic population generation; develop structures for the four-step and agent-based models and the simulation frameworks; implement the developed models and simulation frameworks into software; prepare project reports; prepare manuscripts for publication in scientific outlets. The applicants are welcome to carry out research on topics of their interest in the project.
      • Managerial: ensure timely completion of project deliverables; guide a team of junior professionals; interact with DULT and other public agencies for secondary data; guide external agencies for household travel survey administration; interface with Bosch’s software team for the development of implementable software tools.

    • Centre will offer (to selected candidates)

      • One of the following positions: Post-doctoral Research Associate, Project Associate, Project Assistant, Project Scientist, JRF, or SRF (based on qualification and experience)
      • Salary commensurate with qualification and experience, based on IISc norms
      • Faculty mentoring and collaboration for professional growth (and conference travel support)

    • How to apply

      • click here to fill the form and upload the following files:

        It may be useful to prepare the following items before beginning to fill out the form.
      • Cover letter
      • Detailed CV, including education, relevant experience and projects (feel free to include links to project sites, reports, GitHub repositories, etc.), list of publications (separate lists for journals and conferences, and for published and submitted papers), and contact information, names and contact information of three individuals who can provide recommendation letters
      • Copies of transcripts of graduate and undergraduate education

    • Note

      • The initial appointment will be for one year (with a probation period of 4 months), subsequently extendable based on performance and funding.
      • Review of applications will begin on 20th September 2024.