查尔摩斯工学院Phd申请条件和要求都有哪些?PhD position in Resilient and Equitable Mobility Systems项目是不是全奖?有没有奖学金?下面我们一起看一下查尔摩斯工学院申请Phd直招需要具备哪些条件和要求,以及托福、雅思语言成绩要到多少才能申请。
Who we are looking for
The successful candidate will be expected to contribute intellectually to the theoretical development of the project. We are particularly interested in candidates whose background can help us connect empirical mobility data and computational modelling with theories of complex systems, network dynamics, resilience, disruption response, adaptation, inequality, or urban systems.
The following requirements are mandatory:
A master’s degree corresponding to at least 240 higher education credits, or equivalent, in a relevant field such as engineering, applied mathematics, physics, computer science, data science, complex systems, transport systems, urban science, geography, urban planning, computational social science, or a related field.
Strong quantitative, analytical, computational, or theoretical training relevant to the research topic.
Meritorious educational qualifications:
Coursework or thesis work in complex systems, network science, agent-based modelling, transport modelling, urban analytics, resilience, computational social science, data science, machine learning, statistics, applied mathematics, GIS, or spatial analysis.
A master’s thesis or research project related to mobility, cities, networks, infrastructure, human behaviour, resilience, sustainability, disruptions, or socio-spatial inequality.
Mandatory experiences and skills
Strong motivation to conduct doctoral research
Good analytical and problem-solving skills
Good programming, modelling, data analysis, or mathematical skills, with the ability to understand and engage with computational model implementation.
Ability or strong motivation to work with activity-based modelling, agent-based modelling, synthetic populations, mobility data, or geospatial data.
Very good written and spoken English
Ability to work independently and collaboratively in an interdisciplinary research environment
The following experience will strengthen your application:
Experience with Python, R, Julia, Java, GIS tools, MATSim, transport simulation, network analysis, or similar tools
Experience with mobility data, transport networks, census data, geospatial data, public transport data, GPS/mobile phone data, or other large-scale datasets
Interest in complex systems, network science, resilience theory, disruption modelling, agent-based modelling, urban science, or computational social science
Experience with scientific writing, open-source code, reproducible workflows, version control, or data documentation
Interest in sustainable transport, urban planning, climate adaptation, civil preparedness, equity, or infrastructure resilience