Phd Position in Agent-based Modelling of Urban
5 maanden geleden
PhD position in Agent-Based Modelling of Urban Economic Segregation-
Job description
Economic resources (e.g. wealth and income) are distributed unevenly among people and in space: within cities and between cities, people and resources are concentrated and segregated. Economic inequality and urban segregation are considered top priority challenges by the United Nations. Tackling them is urgent because economic inequality and urban segregation restrict the ability of the poorest individuals to get by in life, but they also affect life expectancy, social justice and cohesion for everyone.
One way to understand and address urban economic segregation is to model its dynamics, and to run and compare policy scenarios on how to reduce it. Following recent developments in analytical sociology and computational social sciences, generative modelling (such as Agent-based modelling) has proven valuable to implement, combine and test causal theories through mechanistic representation. By showing how urban economic segregation persists and evolves due to individual interactions in space, we aim to advance our understanding of the interplay between economic inequality and residential segregation and to better assess possible remediatory policies.
This doctoral position represents an exciting opportunity to combine and develop the latest methods of modular social simulation, empirically-calibrated agent-based models and spatially explicit population synthesis on a socially relevant topic. You will be expected to 1/Build a synthetic population from sociodemographic and spatial microdata ; 2/ Build a modular Agent-based model of urban economic segregation, that translates a set of identified theories into social mechanisms ; 3/Evaluate and calibrate the model configurations against sociodemographic and spatial microdata ; 4/ Implement, run and compare policy scenarios on the calibrated model ; 5/ Write, submit and present related articles to relevant journals and conferences.
**Requirements**:
Need to have:
- Completed Masters degree in computational social science, analytical sociology, complex systems science, urban studies, spatial economics, social statistics, economic geography or other relevant fields linked to agent-based modelling and spatially orientated quantitative social science;
- Knowledge and experience in agent-based modelling (model building, analysis, evaluation);
- Knowledge and experience with population synthesis;
- Knowledge and experience with object oriented programming;
- Interest in multidisciplinarity research;
- Ability to handle and combine the abstract concepts and theories of inequality and segregation;
- Ability to work in a team, take initiative, be creative;
- Good command of verbal and written English.
Nice to have:
- Experience of linking agent based models with large empirical data;
- Interest in open source software and scientific reproducibility.
Conditions of employment
The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.
For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.
TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.
Challenge. Change. Impact
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The Faculty of Architecture and the Built Environment has a leading role in education and research worldwide. The driving force behind the faculty’s success is its robust research profile combined with the energy and creativity of its student body and academic community. It is buzzing with energy from early in the morning until late at night, with four thousand people studying, working, designing, conducting research and acquiring and disseminating knowledge. Our faculty has a strong focus on 'design-oriented research’, which has given it a top position in world rankings.
Staff and students are working to improve the built environment with the help of a broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and
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