Connectionists: Postdoc / Ph.D. positions in Complex Networks available in Prague, Czech Republic

[Magda Pokorna]

We offer 2 fully funded Postdoc / Ph.D. positions for the*OPJAK Trust 
project*(https://cobra.cs.cas.cz/trust_job).
Our group is part of the*Department of Complex Systems *at the*Institute 
of Computer Science*of theCzech Academy of Sciences 
(https://www.cs.cas.cz/en).

The topic is focused on analysing modern and historical textual records 
through the lenses of graph-network analysis, statistics and machine 
learning.*The topics include:*

** Topic: _Networks in Historical Scholarly/Philosophical Writings_*

Analysis of late medieval scholarly manuscripts (questions originating 
at the University of Prague around 1400) and presocratic textual 
fragments (mainly Heraclitus). Specific focus will be on (graph) 
clustering algorithms that should help to formally define relationships 
between semantically linked structures and thus offer insight into the 
structure of the textual source.

The next highly desirable part would be the development of image 
segmentation algorithms for recognising the overall structure of the yet 
never analysed formal parts of medieval handwritten manuscripts. 
Attempting full OCR (very hard in this case; see example on our web) and 
LLM interpretation of the distilled text would be a bonus.

Feel free to contact us informally for a more detailed description 
(*Pavel Sanda*, Institute of Computer Science CAS, sanda[@]cs.cas.cz; 
Ota Pavlicek, Institute of Philosophy CAS, will co-lead the medieval part).

** Topic: _Information Flows in Scholarly & Scientific Networks_*

This topic aims to develop methodology to capture a realistic, 
interpretable, model of spreading of scholarly information in the 
scholarly social community. It shall include standard citation networks, 
but strive to extent to concept flow networks (detectable information 
influence beyond formal citations), and use graph theoretical, 
statistical and machine learning tools to provide further insights 
including identification of scholarly groups, informal knowledge 
propagation, extreme events including tipping points (paradigm shifts) 
and their early markers, influential agents and ideas.

The methodology will be piloted on mapping selected scholarly fields and 
historical periods in collaboration with domain experts in history and 
philosophy of science and particular scholarly/scientific fields.

Feel free to contact us informally for a more detailed description 
(*Jaroslav Hlinka*, Institute of Computer Science CAS, hlinka[@]cs.cas.cz.

*Conditions:*

  * Positions are available starting March 1, 2025 and later.
  * Applications will be reviewed on a rolling basis, until the
    positions are filled.
  * Contract is for 12-36 months duration, with exceptions negotiable.
  * Possibility of extension until end of project (31. 12. 2028),
    support for transition to tenure-track or external funding applications.
  * This is a fixed term contract appointment, part time contract possible.
  * Competitive salary based on qualifications and experience.
  * Bonuses and travel funding for conferences and research stays
    depending on performance.
  * No teaching duties.

*Applicants should:*

  * Hold a PhD; with the exception of Research assistant and Graduate
    student positions.
  * Have a strong background in the fields related to machine learning
    and artificial intelligence, experience with historical data
    analysis, text data analysis, network analysis, graph theory,
    multi-agent systems, and computer programming (the exact combination
    depends on the particular topic, see above).
  * Be fluent in English.

We seek curious, self-motivated, hard-working, team-spirited researchers.

For*description and other links*see:https://cobra.cs.cas.cz/trust_job
For*application*see the formal position 
announcement:https://www.cs.cas.cz/job-offer/Scientific-positions-TRUST-Vidnerova-2025/en

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