- Full Stack Developer and UX Designer ↓ Open
- Job Description The project involves cross-platform user-facing application development for existing codes that address large-scale public transit routing and simulation models. (see https://github.com/transnetlab for examples) The project is funded by the Ministry of Education (MoE), Scheme for Transformational and Advanced Research in Sciences (STARS) program. The initial appointment will be for one year (with a probation period of 2 months), subsequently extendable based on performance and funding. Salary will be based on educational qualifications and MoE norms.
- Eligibility
- A bachelor's or master’s degree in computer science or a related field, along with hands-on experience in the professional development and maintenance of software applications.
- Key Responsibilities:
- Collaborate with researchers to analyze functional requirements and translate them into technical specifications or software architecture.
- Design and develop responsive cross-platform applications that are high-performing, scalable, and reliable.
- Implement testing frameworks to ensure software quality and reliability.
- Automate manual tasks to streamline software development processes
- Pre-requisites:
- Experience in full-stack development for cross-platform applications using frameworks like Flutter or React and Electron is preferred.
- 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.
- Hands-on experience with Python or Node.js.
- Strong knowledge of HTML, CSS, JavaScript, and databases (RDBMS or NoSQL).
- Must be comfortable using GitHub
- Strong design skills, with the ability to create intuitive, user-friendly interfaces and seamless user experiences across platforms. Knowledge of Figma or Adobe XD or Qt is a plus.
- How to apply
- Deadline:
- The last date to submit applications is 30th November 2024. Interviews will occur as and when suitable applications are received
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- C++/Python Programmer ↓ Open
- Project Description The first project involves maintaining and enhancing C++ and Python codebases for large-scale public transit routing and simulation models. (see https://github.com/transnetlab for examples) The project is funded by the Ministry of Education (MoE), Scheme for Transformational and Advanced Research in Sciences (STARS) program. The second project involves profiling and optimization of Python and C++ codebases that are used to predict travel demand and network flows in city-scale mobility models. The initial appointment will be for one year (with a probation period of two months), extendable based on performance and funding. Salary will be based on educational qualifications and MoE norms.
- Eligibility
- A bachelor's or master’s degree in computer science or a related field, along with hands-on experience in the professional development and maintenance of software applications.
- Key Responsibilities:
- Collaborate with researchers to analyze functional requirements and translate them into technical specifications or software architecture.
- Design and implement unit tests to ensure software quality and reliability
- Profile and optimize code components.
- Build datasets and pipelines using open-source transit data.
- Automate manual tasks to streamline software development processes.
- Pre-requisites:
- Strong background in data structures and algorithms, particularly graph algorithms.
- Strong programming skills in C++ and Python. Competitive programming experience is a plus.
- Experience with version control tools such as Git and GitHub.
- Demonstrated ability to work independently and as part of a team.
- Strong communication, presentation, and documentation skills (Sphinx and Doxygen).
- How to apply
- Deadline:
- The last date to submit applications is 30th November 2024. Interviews will be conducted as suitable applications are received.
- Number of positions: 2
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- 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
- 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.
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- Project Associate Position ↓ Open
- Project Description: Title:Project Associate Position in Road Safety and Road Safety Audits. The Centre for infrastructure, Sustainable Transportation and Urban Planning (CiSTUP) at the Indian Institute of Science (IISc) invites applications for a Project Associate position in Road Safety and Road Safety Audits. The successful candidate will be responsible for analyzing traffic & safety data, conducting road safety audits, and developing strategies to improve road safety. This role requires a deep understanding of traffic engineering, safety principles, and regulatory standards. Candidate should have the following qualifications:
- Education:
- Graduate degree in Civil Engineering, Traffic Engineering, Transportation Planning, Urban Planning or a related field.
- Skills Expected:
- Preferred: 1-2 years of experience in road safety or traffic engineering, with prior experience in audits and report writing. Proficiency in Kannada is a plus
- Strong understanding of road safety principles, traffic management, and familiarity with relevant IRC codes
- Proficient in AutoCAD layout diagrams for road design
- Certified Road Safety Auditor will be an added advantage
- Willingness to travel for audits throughout Karnataka.
- Selected Candidates Will be Offered:
- Position: Project Associate
- Salary: Salary will be commensurate with background and experience, within the norms of IISc. The initial appointment will be for one year with a probation period of two months.
- How to apply:
- For any enquiries kindly Contact: dileepank@iisc.ac.in (Dileepan K)
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