| The Department of Mathematics and Mathematical Statistics is, together with Umeå Center for Gender Studies, searching for a PhD student in Computational Science with focus on Mathematical Statistics – Theory and methods for data-driven decisions with applications to ambulance care with special focus on gender. The employment will start on September 1, 2023, is limited to four years of full-time studies, and is based at the Department of Mathematics and Mathematical Statistics. Last day to apply is February 13, 2022.
The Department performs research in computational science, mathematics and mathematical statistics. The department has approximately 100 employees of which about 20 are PhD students see, http://www.umu.se/en/department-of-mathematics-and-mathematical-statistics/
The Graduate School of gender studies has since 2001 co-financed PhD students at all of Umeå University’s faculties. A PhD student at the Graduate School of gender studies will take part in a unique and dynamic research environment, in which about 25 PhD students are participating in, see https://www.umu.se/en/umea-centre-for-gender-studies/doctoral-studies/the-graduate-school-of-gender-studies/
Project description and tasks:
As a PhD student, you will work within an interdisciplinary project that aims to develop theories and methods for data-driven decision support with applications to the Swedish ambulance care with a special focus on gender.
Healthcare in Sweden must by law be equal, so that care and treatment are provided on equal terms to everyone regardless of gender, age, place of residence, or sexual orientation. An organizational change may give most residents better ambulance care but may also increase differences between men and women. To optimize ambulance care, we need to define relevant cost functions that penalize unequal care.
The healthcare has access to large data, but how can we use statistics, including machine learning techniques, to turn these data into good decisions that uses the? The research project aims to answer the following key questions:
- Based on a set of values – how can we combine different interests when we make decisions?
- How can we make optimal decisions?
- What information is needed to make these decisions?
- How can we use statistics to extract the required information from the available data?
The doctoral project aims to develop new theory for data-driven decision support, develop a data-driven decision support system for ambulance care, and to describe the ambulance care in northern Sweden based on demographic and geographical parameters with a special focus on gender.
The main supervisor of the project is Patrik Rydén, who is running an interdisciplinary research project with the goal of optimizing ambulance care in Sweden. The project has access to unique ambulance data and established contacts with prehospital care.
For further information and instructions on how to apply, see:
https://umu.varbi.com/en/what:job/jobID:579032/ |
finished (2023/01/13, finished 2023/08/19, listed until 2023/02/13)
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