Open Positions:
Here you can find information about available positions in my group at KTH. If there is no call, and you are thinking about doing a masters, PhD or postdoc in one of the areas listed under my Areas of Research, feel free to send me an email.
I am always looking for masters students who are excited about doing a project in fields related to graphical models, causality, algebraic statistics, discrete geometry, and algebraic and geometric combinatorics. If you are looking to do a masters project related to one or more of these fields send me an email.
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PhD Position in Algebraic and Geometric Combinatorics or Algebraic Statistics.
Application deadline: 7 January 2025
Application submission should be done at the following link: here.
Successful candidates will conduct research in either algebraic/geometric combinatorics or algebraic statistics (or a blend of both depending on student interests).
Applicants with experience in either of these two fields, or related fields including algebra, causality and graphical models, are encouraged to apply.
A PhD position at KTH is typically a five-year position with 20% time devoted to teaching responsibilities.
This position has a tentative start date of August 2025 (or at an agreed upon date).
The position is financed through the Göran Gustafsson Foundation.
About Algebraic and Geometric Combinatorics:
In algebraic and geometric combinatorics, we use methods from algebra and geometry to study properties of generating functions associated to combinatorial objects,
such as graphs, permutations, and other objects constructed by placing relations on finite sets.
Conversely, many open problems in the field aim to give combinatorial interpretations to sequences of integers associated to
algebraic and geometric objects, including families of algebraic varieties and convex lattice polytopes.
In pursuing a PhD at KTH in algebraic and geometric combinatorics you will explore these problems in relation to open conjectures that are currently driving
research in the field.
About Algebraic Statistics:
In algebraic statistics, we pull from the same set of tools typically studied in algebraic and geometric combinatorics (e.g., algebraic varieties,
convex lattice polytopes, permutations, graphs, etc.) with the explicit goal of developing new methods for statistical inference.
The field of algebraic statistics is driven by the fundamental observation that popular statistical models can often be interpreted as the image of a rational map.
From this viewpoint, we can interpret the statistical model as a solution set to a system of polynomial equations, which in turn is associated to algebraic, geometric and
combinatorial structures that encode information about the statistical model.
Open problems in this field center on identifying these systems of polynomial equations and understanding their associated geometric and combinatorial structures.
In pursuing a PhD at KTH in algebraic statistics, you will dive into such problems with the goal of developing new methodology for addressing important problems in
statistical and machine learning.
