Assistant and Associate Professors in Statistics
Due to our planned expansion in the area of statistics, the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark (SDU), Odense, invites applications for several new positions within statistics.
The statistics group at IMADA combines strong competences in general statistics with expertise in extreme value theory, Bayesian inference, survival analysis and multivariate analysis. Methods and research from these topics are widely used in many disciplines, such as structural and geological engineering, finance, earth sciences, traffic prediction, mathematical demography and many aspects of biology.
The group works closely together with Epidemiology, Biostatistics and Biodemography (EBB) at the Faculty of Health Sciences and the interdisciplinary cross-faculty Centre on Population Dynamics (CPop) at SDU, as well as with colleagues in France, Germany and USA. Our new vacant positions are not limited to these research topics and we sincerely welcome applications from candidates with other research backgrounds.
The statistics group is anchored in the section “Data Science and Statistics” and is responsible for teaching statistics and probability in educations such as mathematics, applied mathematics, mathematics-economics and data science. In addition, the group performs service teaching in statistics for other units across the university.
The ideal candidate:
- has a PhD in statistics, mathematics or applied mathematics and a strong record of research at a high international level;
- is able to teach in a broad range of core statistics areas at both the undergraduate and graduate levels;
- has an interest in interdisciplinary collaborations among researchers across SDU and with external partners;
- has experience in combining theory and practice of statistics.
For a hiring at the level of associate professor, which is a tenured/permanent position, applicants are expected to have demonstrated the ability to direct independent research projects and obtain external funding.
An appointment as an assistant professor lasts for three years, and contingent on a positive performance evaluation, a permanent position for an associate professor may be opened, for which the assistant professor can apply.
Fluency in English is required. Knowledge of Danish is not a prerequisite for application. The hired candidate will be offered Danish courses by the university.
We are inviting applicants on the levels of both assistant and associate professor, and the applicants are asked to state in their letter of application on which level they wish to apply.
The University of Southern Denmark was founded in 1966 and now has more than 27,000 students, almost 20% of whom are from abroad. It has more than 3,800 employees, and 115 different study programmes in the fields of the humanities, social sciences, natural sciences, health sciences, and engineering. Its main campus is located in Odense, the third largest city in Denmark. Odense provides family-friendly living conditions with the perfect combination of a historic city centre with an urban feel and yet a close proximity to beaches and recreational areas. Its location on the beautiful island of Funen is ideal with easy access by train or highway to the bigger cities of Aarhus and Copenhagen. As the birthplace of Hans Christian Andersen, Denmark’s famous fairytale author, the city is home to a vibrant and creative population that hosts numerous festivals and markets throughout the year.
Based in Odense, the Department of Mathematics and Computer Science offers an inclusive and international working environment with state-of-the-art facilities as well as a strong tradition for collaboration across departments and faculties, and with other educational institutions, municipalities, and industries. The degrees offered by the department include BSc and MSc degrees in mathematics, applied mathematics, mathematics economics as well as PhD degrees, and an MSc degree in data science.
The proposed starting date is summer 2021. Application deadline: 30 November 2020.