15 Oct 2026
Job Information
- Organisation/Company: Center of Trustworthy AI for Life Sciences – International Research Agendas Programme, University of Warsaw
- Research Field: Mathematics » Applied mathematics
- Researcher Profile: First Stage Researcher (R1)
- Positions: PhD Positions
- Application Deadline: 19 Nov 2026 - 16:00 (Europe/Warsaw)
- Country: Poland
- Type of Contract: Temporary
- Job Status: Part-time
- Hours Per Week: 20
- Offer Starting Date: 1 Nov 2026
- Is the job funded through the EU Research Framework Programme? Other EU programme
- Reference Number: TRAILS-1210-12/2026
- Is the Job related to staff position within a Research Infrastructure? No
Offer Description
The person employed in the position will be responsible for:
- Conducting scientific research on the application of Topological Data Analysis (TDA) methods to the analysis and interpretation of how artificial neural networks function.
- Developing new mathematical and algorithmic methods for studying the geometry and topology of activation spaces and internal data representations within neural networks.
- Analyzing changes in the structure of data representations that occur during the neural network training process, and investigating their relationship to prediction quality, generalization capability, and model robustness.
- Developing and implementing computational tools based on TDA methods—specifically Mapper, Ball Mapper, and persistent homology—to analyze various neural network architectures, including convolutional neural networks and Transformer-based models.
- Designing and conducting computational experiments using real-world and synthetic datasets, including exploring the potential for identifying adversarial examples and anomalous behaviors in AI models.
- Preparing scientific publications, presenting research findings at conferences, and collaborating with members of an interdisciplinary research team.
Where to apply
E-mail: [contact details available in the full listing]
Requirements
- Research Field: Mathematics » Applied mathematics
Education Level: Master Degree or equivalent - Research Field: Computer science » Other
Education Level: Master Degree or equivalent - Research Field: Physics » Other
Education Level: Master Degree or equivalent
Specific Requirements
Applications in English should include the following documents (arranged in the order given if submitted as a single PDF file):
- A cover letter explaining your interest in the project, addressed to the Director of the Center for Trustworthy Artificial Intelligence for Life Sciences - International Research Agendas Programme.
- Scientific CV with publications, conference presentations, produced code as well as candidate’s industrial experience.
- A description of key competencies and experience.
- A description of scientific achievements. Publications, implementations, or patents, distinctions, or awards should be included.
- The “Applicant Questionnaire” form (available on the University of Warsaw website at link).
- A scan of the Master’s diploma.
Languages: ENGLISH
Level: Good
Research Field: Mathematics » Other; Computer science » Other; Physics » Other
Internal Application form(s) needed
Applicant_Questionnaire_UW.pdf (English, 70.09 KB - PDF)
Additional Information
Eligibility criteria
We are looking for candidates with a strong background in mathematics, computer science, data science, or a closely related field, and an interest in the mathematical and computational foundations of artificial intelligence.
Required qualifications:
- fulfilment of the requirements set out in Article 113 of the Law on Higher Education and Science (Journal of Laws of 2024, item 1571, consolidated text).
- a degree in mathematics, computer science, data science, physics, or a related discipline appropriate to the career stage of the position;
- a solid background in at least one of the following areas: machine learning, Topological Data Analysis, applied topology, computational geometry, dynamical systems, or mathematical data analysis ideally with industrial experience;
- familiarity with the basic principles of machine learning and neural networks;
- strong programming skills, preferably in Python, and willingness to implement and experimentally evaluate new methods;
- ability and willingness to work with high-dimensional data and computational models;
- ability to work independently, formulate research questions, and communicate research results clearly;
- good command of written and spoken English.
We expect you to be a PhD student in a doctoral program or be on the list of those admitted to a doctoral program.
Additional assets include:
- previous experience with persistent homology, Mapper, Ball Mapper, or other methods of Topological Data Analysis;
- experience with deep neural networks and the analysis of internal representations or activation spaces;
- familiarity with geometric or topological approaches to machine learning and representation learning;
- experience with PyTorch, TensorFlow, JAX, or related machine-learning frameworks;
- experience with convolutional neural networks, transformers, or other modern neural-network architectures;
- familiarity with concepts of adversarial examples, robustness, interpretability, or explainable AI;
- knowledge of dynamical systems and methods for comparing dynamical behaviour;
- experience with dimensionality reduction, manifold learning, clustering, or high-dimensional data analysis;
- experience with natural language processing or representation of non-numerical data would be advantageous;
- industrial experience in machine learning, artificial intelligence, data science, or software development, particularly involving real-world datasets or deployed AI systems;
- experience in interdisciplinary collaboration with academic or industrial partners;
- interest in combining mathematical theory with computational experiments and applications to real-world AI systems.
Selection process
Candidates will be assessed based on:
- research and implementation achievements,
- experience in commercializing research results and collaborating with the industry.
Candidate evaluation will be conducted in accordance with applicable regulations, including:
- Statute of the University of Warsaw,
- Recruitment Documentation 2/2025 under the FENG International Research Agendas program, available at https://www.fnp.org.pl/component/fnp_programs/program/miedzynarodowe-agendy-badawcze-feng/nabor-2-2025
- Recommendations of the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers
- Order No. 27 of the Rector of the University of Warsaw of 27 February 2025 (UW Monitor of 2025, item 50) https://monitor.uw.edu.pl/Lists/Uchway/Attachments/7256/EN.M.2025.50.Zarz.27.pdf
Additional comments
A complete set of application documents, collected in a single PDF or ZIP file, bearing the candidate’s surname, should be sent via email to: [contact details available in the full listing]. Please include the job posting reference number in the subject line.
Applications that are incomplete or submitted after the deadline will not be considered.
Work Location(s)
- Number of offers available: 1
- Company/Institute: University of Warsaw
- Country: Poland
- City: Warsaw
- Postal Code: 02-097
- Street: Stefana Banacha 2C
Contact
- City: Warsaw
- Website: https://trails.www.uw.edu.pl
- Street: Stefana Banacha 2C
- Postal Code: 02-097
- E-Mail: [contact details available in the full listing]
