The group is part of the Division for Communication and Transport Systems, with over 70 staff members studying transport and communication networks in the broadest sense. Many projects aim at developing models and methods for traffic systems, which can be used as decision support tools by infrastructure managers, operators, vehicle drivers and others.
At the Department of Science and Technology, at the university's Norrköping Campus, we provide education and conduct research in physics and electronics, communications/logistics and media- and information technology. The department is recognised for its work in fields including logistics, visualisation and organic electronics. We combine academic excellence with fruitful collaboration with the Community. Read more at https://liu.se/en/organisation/liu/itn <https://liu.se/en/organisation/liu/itn>
Your research will be conducted within the research project NEtworK Optimization for CarSharing Integration into a Multimodal TRANSportation System (EkoCS-Trans). The overall goal of this project is to support Swedish industry in providing CS solutions that attract a wide customer base (and, hence, lead to a reduced energy consumption), and to enable Swedish authorities to account for growing CS in their strategic urban transport planning. The approach is quantitative and makes strong use of simulation and optimization techniques.
On the simulation side, you will be responsible for integrating a representation of shared vehicles into an existing multi-agent transport simulation for Stockholm. On the optimization side, you will be responsible for solving problems that are mainly related to the planning of car sharing systems, using for example mathematical optimization or geometric algorithms. You will also contribute to the integration of both aspects of your research into a simulation-based optimization approach for the planning of car sharing systems.
The research is carried out together with VTI, the Swedish National Road and Transport Research Institute and stakeholders from industry and society.
We wish you have programming skills in Java or strong programming skills in some other object-oriented language. You should have strong quantitative skills/theoretical/mathematical background, e.g. through a degree in computer science, mathematics, physics, engineering (or willingness to learn). Moreover, you have an interest in applying quantitative and computational techniques to real transportation problems, and have good command of spoken and written English.
Additionally desirable are a transportation related background (e.g. a degree in (intelligent) transportation systems or the like), knowledge of algorithm design or mathematical optimization, an interest in interdisciplinary cooperation, communication and team skills, and creativity.
We hope to fill the position by spring 2019.
For the official announcement see:
https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=10210&rmlang=UK <https://liu.se/en/work-at-liu/vacancies?rmpage=job&rmjob=10210&rmlang=UK> (English verison)
https://liu.se/jobba-pa-liu/lediga-jobb?rmpage=job&rmjob=10204&rmlang=SE <https://liu.se/jobba-pa-liu/lediga-jobb?rmpage=job&rmjob=10204&rmlang=SE> (Swedish version)
Your application must be received at latest February 7, 2019.
Questions can be directed to Christiane Schmidt (PI), christiane.schmidt@liu.se, +46 11 36 3212, http://weber.itn.liu.se/~chrsc91/ <http://weber.itn.liu.se/~chrsc91/>
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