Umeå University is one of Sweden’s largest higher education institutions with over 37,000 students and about 4,700 employees. The University offers a diversity of high-quality education and world-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture.
The ongoing societal transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering education to enable regions to expand quickly and sustainably. In fact, the future is made here.
Are you interested in learning more? Read about Umeå university as a workplace
The Department of Statistics at Umeå School of Business, Economics and Statistics (USBE), is looking for a Postdoc who can perform high quality statistical research. Apply January 5, 2025, at the latest.
The Department of Statistics conducts research within the field of statistics and data science, including both method development and empirical research, the latter in collaboration with scientists from other departments. We offer a research environment with access to national and international networks. Our research profile focuses on development of novel statistical methods and software for the analysis of large and complex data sets. Applications include e.g evaluation of large-scale achievement tests, and health and quality of health care. For more information: https://umu.se/en/usbe/about-us/statistics/.
Work description
The successful candidate will perform research within the externally funded project “Innovative statistical and machine learning methods for comparing performance and outcome in register data studies”, which aims to develop, evaluate, and implement innovative statistical methods, including modern machine learning methods, to draw inferences from register data. The proposed methods will be carefully evaluated with data from educational and health registers but the developed methods are not restricted to these applications but are generic and can be used with other large-scale registers. The successful candidate is expected to plan and perform independent research but is also expected to collaborate with researchers at the department and within other subject areas. The position may also, by agreement, include teaching at undergraduate and graduate levels in statistics up to 20% of full time.
The position is full time for a duration of two years. Starting date is March 10, or according to agreement.
Requirements and qualifications
Applicants should have a PhD in statistics (or related area) before starting the position. Priority will be given to candidates who have completed their doctoral degree no more than three years before the closing date of the application. A candidate who has completed their degree prior to this may be considered if special circumstances exist. Special circumstances include absence due to illness, parental leave, appointments of trust in trade unions or similar circumstances.
The main assessment criteria for the appointment are documented research skills. The applicant is expected to have documented experience of:
In addition, excellent programming skills in relevant languages, and excellent communication skills in written and spoken English are required. You must have good interpersonal skills and be able to work in a focused, flexible and proactive manner. Experience of interdisciplinary research projects and collaboration with scientists from other fields is qualifying.
How to apply
The application should include:
The application is to be submitted on Umeå University recruitment system no later than January 5, 2025.
Information
For further information please contact professor Marie Wiberg, marie.wiberg@umu.se, +46 (0)90 7869524, or professor Marie Eriksson, marie.eriksson@umu.se, +46 (0)90 786 6108.
More about Umeå School of Business, Economics and Statistics (USBE)
As an internationally respected, nationally influential, and regionally rooted part of Umeå University, Umeå School of Business, Economics, and Statistics contributes to societal development through education and research of a high international standard.
Through interplay with surrounding society, we provide education and research that contributes to the understanding, ability, and responsibility of individuals in relation to societal challenges and the importance of sustainable development.
In collaboration with our surrounding society, we provide education and research that contributes to individuals' understanding, ability and responsibility in relation to societal challenges and the importance of sustainable development. We are AACSB-accredited and sustainability certified according to the environmental management standard ISO14001.
The Department of Business Administration, the Department of Economics, the Department of Statistics and The USBE office form USBE, with about 150 employees. About 3800 students follow our programs every year and we offer education from the undergraduate to the doctoral program level in all of our main disciplines – Business Administration, Economics and Statistics.
The Department of Statistics has about 30 members of staff. We conduct research with the field of Statistical Sciences, both method development and empirical research, in collaboration with other sciences.
Read more about USBE here: www.umu.se/en/usbe/
We welcome your application!
Type of employment | Temporary position |
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Contract type | Full time |
First day of employment | March 10, 2025, or according to agreement |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Umeå |
County | Västerbottens län |
Country | Sweden |
Reference number | AN 2.2.1-1228-24 |
Contact |
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Union representative |
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Published | 01.Nov.2024 |
Last application date | 05.Jan.2025 11:59 PM CET |