PhD scholarship: Gender Perspectives on Safety of Vulnerable Road Users – DTU Management
Danmarks Tekniske Universitet
Job Description:The Transport Division at the Technical University of Denmark (DTU) invites applications for a 3-year PhD position in the field of road safety in low- and middle-income countries. The successful candidate will join the Human Behaviour section and will work under the supervision of Assistant Professor Felix Siebert, Associate Professor Carlos Lima Azevedo from DTU and Prof. Winnie Mitullah, from the University of Kenya.You will investigate gender-related safety differences between female and male motorcycle riders (drivers and passengers) using a combined observational and questionnaire survey methodology. Observational surveys will be used to register behavioural data, with the goal to identify safety-related behavioural patterns (similar to , ). There is a dedicated focus on gender perspectives, i.e., we are interested in how female and male motorcycle riders might behave differently, and might have different levels of safety due to external factors ( ). Existing psychological theories, e.g., the Theory of Planned Behaviour will be used and extended to explain differences in safety related behaviours of motorcycle riders. Factors from the subjective questionnaires will be related to the impact of policy and enforcement decisions.The project is a strategic collaboration between DTU and its Alliance Network partner University of Nairobi (UON). At DTU you will be a member of the Human Behaviour section at the Department for Technology, Management and Economics (DTU Management). You will be based at DTU and will receive your PhD from there. You will visit UON for a fully funded one semester research stay in Nairobi, Kenya, and closely collaborate with Winnie V. Mitullah, Research Professor of Development Studies at the Institute for Development Studies (IDS) and UNESCO UNITWIN Chair, and Dr. Anne Kamau from IDS, UON.You have an MSc background in Psychology, Human Factors, Civil Engineering, Behavior Economics or a related discipline, with preferably experience in Transport Psychology, Behavioral Modelling, Behavioral Surveys, Statistics, and Field Experiments.Responsibilities and qualifications
Gender equality and road safety are topics which cut across multiple Sustainable Development Goals. Both issues are highly relevant for female road users in low- and middle-income countries like Kenya. Research shows that female road users have different mobility patterns from their male counterparts in LMIC, where e.g., female motorcycle users (who are more often passengers than drivers) behave safer than their male counterparts but are more at risk of injury due to their position on motorcycles. To achieve safe mobility for women in LMIC, a special consideration of their role as road users is needed, considering their specific mobility patterns and needs, but also factors relating to road related policies and enforcement.In this project, you will collect empirical data and investigate the relation between psychological factors, legislation, enforcement, environment, and road safety related behaviour.Your primary tasks will be to:
). * Write academic papers aimed at high-impact journals.
You must have a two-year master’s degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master’s degree in Psychology, Human Factors, Civil Engineering, Economics or a similar degree. Ideally, you will have experience in some of the following areas:
You are an ambitious, self-organized individual with strong project management and communication skills. Proficient English language skills are required.Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see .
You may apply prior to obtaining your master’s degree but cannot begin before having received it.Applications received after the deadline will not be considered.All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.DTU Management
The Human Behaviour section and the Transportation Systems Modelling section belong to the Transport division of the Department of Technology, Management and Economics (DTU Management) at DTU. The division conducts research and teaching in the field of traffic and transport planning, with particular focus on road user behaviour modelling and analysis, machine learning, and simulation.DTU Management conducts high-level research and teaching with a focus on sustainability, transport, innovation, and management science. Our goal is to create knowledge on the societal aspects of technology – including the interaction between technology and sustainability, business growth, infrastructure, and prosperity. Therefore, we explore and create value in the areas of management science, innovation and design thinking, business analytics, systems and risk analyses, human behaviour, regulation, and policy analysis. The department offers teaching from introductory to advanced courses/projects at BSc, MSc, and PhD level. The Department has a staff of approximately 350 people.Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.
Kongens Lyngby, Hovedstaden – Lyngby, Midtjylland
Wed, 16 Oct 2024 06:21:16 GMT
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