The Dean of the Faculty of Mathematics, Computer Science and Mechanics, with the consent of the Rector of the University of Warsaw, announces a competition for the position of assistant profesor in scientific project „Homogeneity and genericity of metric structures: groups, dynamical systems, Banach spaces and C*-algebras”, financed by the National Science Centre (grant agreement 2021/03/Y/ST1/00072); principal investigator: dr hab. Maciej Malicki, prof. ucz.

Deadline: 30th of May, 2025

How to submit an application: email entitled [POSTDOC – project name] with attached required documents in pdf format to mmalicki@mimuw.edu.pl

Requirements:

• excellent preparation in this discipline, in particular in one or more of the following areas: topological and symbolic dynamics, ergodic theory, descriptive set theory
• research experience in any of the following areas will be an advantage: Borel complexity of classification problems in topological dynamics and ergodic theory, Borel complexity of sets of generic points in topological dynamical systems, minimal symbolic dynamical systems
• fluency in English, both spoken and written.

Call for a Ph.D.student

Requirements:

The offer is addressed to students who are just finishing their master degree and are looking for a supervisor at a doctoral school. Required background in geometric analysis and measure theory (e.g. embedded and abstract manifolds, exterior algebra, differential forms, Radon measures, covering theorems, weak convergence of measures, Riesz representation theorem etc.)

Attractive conditions, deadline for submission is 18th of May 2025.

Supervisor: dr hab. Sławomir Kolasiński.

XiAI Cancer: Explainable Artificial Intelligence for Cancer Imaging
National Science Centre Sonata Bis grant no 2023/50/E/ST6/00694

Role Description
This is a full-time hybrid role for a Co-Investigator (wykonawca) in AI/ML for computer vision, with a focus on medical images, at University of Warsaw. The XAICancer project, led by the principal investigator, Neo Christopher Chung (https://cbml.science), aims to create high performance deep learning models for cancer diagnosis and prognosis. In the process, we will develop novel algorithms (Vision Transformers, Self-supervised Learning, XAI, etc) and train neural networks for cancer images (CT and PET/CT scans). The role involves developing cutting edge ML methods for medical imaging data, collaborating with interdisciplinary and international teams, and disseminating research products through publications, conferences, and open source software packages.

Application deadline: April 30, 2025.

Application process: send your CV and cover letter (motivation) to PI to n.chung@uw.edu.pl

The remote online public defence of the doctoral dissertation will take place on 25th April, 2025 at 14:00

Title of the dissertation: Mathematical Analysis of Obstacle Approximation Strategies for Incompressible Flows
Supervisor: Assoc. Prof. Tomasz Piasecki (University of Warsaw)
Assistant supervisor: Ph.D. Piotr Krzyżanowski (University of Warsaw)

The link to the defence meeting will be made available after prior registration by e-mail rnd.mat@uw.edu.pl. The registration of participants will be open until 15:00 on 24th April, 2025.

The public defence of the doctoral dissertation will take place on 3 April 2025 at 02:00 PM in room 5440 in the building of the MIMUW Faculty at 2 Banacha Street, Warsaw.

Title of the dissertation: Efficient Models and Techniques for Recommendation Systems
Supervisor: Assoc. Prof. Hung Son Nguyen (University of Warsaw)
Assistant supervisor: Ph.D. Marek Grzegorowski