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Jooyoung Hahn

1 month ago

Postdoc in Geometry-Aware Machine Learning and Topological Data Analysis at Czech Technical University in Prague Czech Technical University in Prague in Czech Republic

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 31, 2026

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Country

Czech Republic

University

Czech Technical University in Prague

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Keywords

Computer Science
Information Technology
Mathematics
Dimensionality Reduction
Statistics
Physics
Applied Mathematic
Machine learning

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About this position

Postdoc opportunity at Czech Technical University in Prague (CTU) in Geometry-Aware Machine Learning & Topological Data Analysis.

This position is part of the EU Marie Skłodowska-Curie Actions (MSCA COFUND) international postdoc programme CROP. The project focuses on building machine learning methods that are more interpretable, robust on small and noisy data, and aware of geometric and topological structure in scientific datasets.

Applicants can shape a short proposal around one of three directions:

Scientific Machine Learning
Topological Data Analysis & Machine Learning
Dimensionality reduction preserving topological structure

Example topics mentioned in the flyer include inverse problems, PDEs on graphs in high dimensions, graph physics-informed DeepONet, Eikonal/Hamilton–Jacobi equations, inaudible sound, SERS (Raman scattering), cell/morphology dynamics, LLM representation-space transforms, high-dimensional analytical chemistry, EEG, spatial transcriptomics, 3D turbulence, metabolomics, topological autoencoders, graph representation, differentiable persistence, and manifold learning.

Eligibility highlights: PhD in hand or close to defending; less than 8 years of research experience since the PhD; less than 12 months in Czechia in the last 3 years; prior studies compatible with the topic.

Funding: competitive salary equivalent to a standard MSCA individual postdoc fellowship.

Deadline: 31 August 2026.

How to apply: prepare your own proposal, consult the supervisor before applying, and submit via the official form linked in the flyer. Early contact is encouraged.

Supervisor: Assist. Prof. Jooyoung Hahn, Department of Software Engineering, Faculty of Nuclear Sciences and Physical Engineering, CTU Prague.

Secondment partners: University of Warsaw (Poland), ISTA Austria (Austria), KAIST (Republic of Korea), plus industry partners in Republic of Korea.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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