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The Department of Surgical Sciences (IKV) is part of the Disciplinary Domain of Medicine and Pharmacy. IKV has about 160 employees and 200 registered doctoral (third cycle) students, the majority of which are clinically active doctors and nurses. Research is conducted at the department, as well as teaching in the first, second and third cycles. Teaching is, among other areas, conducted within the education programmes for doctors, nurses and specialty nurses. Research is conducted in research groups organised according to surgical specialties and closely aligned subject areas, such as anaesthesia and intensive care and radiology. A great deal of research is conducted in cooperation between separate research groups within IKV and other departments at Uppsala University, as well as other universities in Sweden and the rest of the world. The EpiHub is a network for epidemiology research within the Disciplinary domain of Medicine and Pharmacy at Uppsala University and IKV.
IKV hereby announces a PhD position in diabetes epidemiology, at The Epihub. The project aims to combine epidemiology with artificial intelligence to examine socioeconomic position and longitudinal risk factors trajectories in relation to complications of type 2 diabetes.
Project description
Type 2 diabetes is an important public health challenge, which results in considerable morbidity and premature mortality. Despite known socioeconomic inequalities in type 2 diabetes incidence and mortality, little is known about the relationship between socioeconomic position and complications of type 2 diabetes. Furthermore, how high-resolution, longitudinal trajectories of lifestyle and clinical risk factors are related to complications of type 2 diabetes is unclear, and if the addition of longitudinal risk factor trajectories can enhance prediction of complications of type 2 diabetes, or explain socioeconomic inequalities in complications of type 2 diabetes is unknown.
The aim of this project is to address these gaps in knowledge using high-quality, long-term data from the Swedish National Diabetes Register, in linkage with other national registers and cutting-edge methodologies in epidemiology and artificial intelligence, including group-based trajectory modelling, causal mediation analysis, and machine learning based risk prediction modelling.
The PhD student will be based at EpiHubben - a collaborative research environment within the Disciplinary domain of Medicine and Pharmacy at Uppsala University - which aims to facilitate the development and exchange of epidemiological knowledge, expertise and ideas. The student will also be part of a research school at the Uppsala Diabetes Center - https://uu.se/forskning/udc/ - and will have a co-supervisor from the department of IT, who has expertise in machine learning.
Duties
The work tasks will be to:
Requirements
Additional qualifications
Application
The application should include:
Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines.
About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 22-09-01 or as agreed. Placement: Uppsala
For further information about the position, please contact: Hannah Brooke, PhD, email: Hannah.Brooke@surgsci.uu.se
For employment related questions, please contact HR-generalist Higran Saghir, higran.saghir@uu.se or personal coordinator Karin Johansson, karin.m.johansson@uu.se.
Please submit your application by 21 July 2022, UFV-PA 2022/2417.
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Type of employment | Temporary position |
---|---|
Employment expires | 2026-09-30 |
Contract type | Full time |
First day of employment | 22-09-01 eller efter överenskommelse |
Salary | Fixed salary |
Number of positions | 1 |
Full-time equivalent | 100 % |
City | Uppsala |
County | Uppsala län |
Country | Sweden |
Reference number | UFV-PA 2022/2417 |
Union representative |
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Published | 23.Jun.2022 |
Last application date | 21.Jul.2022 11:59 PM CEST |