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Research areas open for postdoc applications with deadline 24 April 2022

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Below are listed the available research areas. Note that the list may be updated up until the application deadlines.

Tip: you can collapse an area box by clicking the circled "-".

(PD-1) Finiteness and duality in triangulated categories

Preferred start date: 1 September 2022

Project area: Algebra & Topology

Finiteness conditions, such as compactness and boundedness, play a central role in the study of triangulated categories appearing in algebraic geometry. However, extending and generalizing these conditions to triangulated categories appearing in other contexts, for example homotopy theory and modular representation theory, is a subtle issue. This project aims to better understand analogues of boundedness and finite presentation in triangulated categories, with an eye toward problems in Hochschild (co)homology, duality theory, and representation theory.

Funding agency: DNRF

Expected duration of position: 12 months

Host: Gregory Stevenson

(PD-2) Cluster algebras and invariants

Preferred start date: 1 September 2022

Project area: Algebra

Since their introduction by Fomin and Zelevinsky, cluster algebras and their associated combinatorics have emerged as an important feature throughout mathematics. Despite this ubiquity, one of the most fundamental concepts remains elusive: How can we formally compare cluster structures in various guises? The project addresses this fundamental question by setting up a categorical framework allowing direct comparison of different incarnations of cluster combinatorics and showcasing how this can be exploited to advance our understanding of cluster algebras and for explicit computations in important examples, specifically relating to geometric and topological invariants.

Funding agency: Villum Foundation

Expected duration of position: 30 months

Host: Sira Gratz

(PD-3) Applied statistics combined with methodological developments

Preferred start date: 1 August or 1 September 2022

Project area: Applied statistics combined with methodological developments at the Applied Statistics Laboratory

In this postdoctoral position, you will work at the Applied Statistic Laboratory (aStatLab) in:

  • Statistical consultation and participation in research projects in several other departments of the Faculty of Natural Sciences and external partners
  • Development or improvement of new statistical methods directed to or inspired by concrete applications
  • Contributing to teaching statistics for non-statisticians
  • Co-supervising non-statisticians in statistical matters

The successful applicant should work on methodological and theoretical developments in statistical themes within one of the research lines at the aStatLab. The aStatLab currently has research lines on highly complex graphical models, theory of dispersion models, theory of designed experiments, and extensions of generalized linear mixed models (GLMMs), including the development of multivariate GLMMs, semi-parametric versions of GLMMs, GLMMs of high complexity.

This postdoctoral position will also benefit from a rich academic environment in statistics and probability theory at the Stochastics Group of the Department of Mathematics.

This position requires a solid background in statistical theory. Experience in applied statistics in different fields will be considered an advantage.

Funding agency: Applied Statistics Laboratory at the Department of Mathematics.

Expected duration of position: 24 months

Host: Rodrigo Labouriau

(PD-4) Applied statistics combined with methodological and computational developments

Preferred start date: 1 August or 1 September 2022

Project area: Applied statistics combined with methodological and computational developments at the Applied Statistics Laboratory.

In this postdoctoral position, you will work at the Applied Statistic Laboratory (aStatLab) in:

  • Statistical consultation and participation in research projects in several other departments of the Faculty of Natural Sciences and external partners
  • Development or improvement of new statistical methods directed to or inspired by concrete applications, with an emphasis on computational aspects and software development
  • Contributing to teaching statistics for non-statisticians.

The successful candidate should work on methodological and theoretical developments in statistical themes within one of the research lines at the aStatLab, emphasizing computational aspects and software development. The aStatLab currently has research lines on highly complex graphical models, theory of dispersion models, theory of designed experiments, and extensions of generalized linear mixed models (GLMMs), including the development of multivariate GLMMs, semi-parametric versions of GLMMs, GLMMs of high complexity.

This position requires good computational and programming skills and a solid background in statistical theory (both needed). In addition, experience in applied statistics in different fields will be considered an advantage.

Funding agency: Applied Statistics Laboratory at the Department of Mathematics.

Expected duration of position: 12 months.

Host: Rodrigo Labouriau