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Assistant Professor -Leader of the ComplexSystems4AI team

Assistant Professor -Leader of the ComplexSystems4AI team

EuraxessWarszawa, Województwo mazowieckie, Polska
7 days ago
Job description

Organisation / Company Warsaw University of Technology Research Field Communication sciences » Other Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Poland Application Deadline 30 Nov 2025 - 23 : 59 (Europe / Warsaw) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Other EU programme Reference Number FENG MAB Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The person hired for this position will lead a research team in the intersection of artificial intelligence and complex systems science. The work will focus on the modeling, analysis, and interpretation of emergent behaviours in large‑scale, adaptive systems—both artificial and socio‑technical.

Key responsibilities will include :

  • Designing and implementing computational models (e.g., agent‑based, network‑based, or hybrid) to study the dynamics of complex AI‑driven systems;
  • Conducting simulations and scenario analyses to explore non‑linear effects, feedback loops, and phase transitions in intelligent multi‑agent environments;
  • Developing diagnostic tools for identifying systemic risks, tipping points, and unintended consequences in AI‑integrated infrastructures;
  • Applying concepts from statistical physics, information theory, and systems theory to analyze robustness, adaptability, and failure modes of intelligent systems;
  • Documenting research findings in the form of scientific publications, simulation benchmarks, and explanatory visualisations;
  • Collaborating with interdisciplinary teams in areas such as socio‑technical resilience, AI governance, and systemic safety;
  • Contributing to the design and implementation of national and international research initiatives (e.g., NCN, Horizon Europe) related to AI and complexity science.

In addition, the person in this position may act as a scientific supervisor for a small team of junior researchers (1–2 people), supporting them in model development, literature review, and the interpretation of simulation results.

Employment will be financed from the project titled “Center for Credible Artificial Intelligence,” funded under the FENG MAB programme (agreement no. FENG.02.01-IP. / 24).

Where to apply

E‑mail : Requirements

Education Level : PhD or equivalent

Skills / Qualifications

  • Scientific achievements with up to three key publications, research projects, or implementation works that best demonstrate expertise in the area of Centre for Credible AI. Each selected work should include a brief justification (maximum 300 words in total) describing innovation, significance of results, individual contribution, practical applications, or impact on further research.
  • Experiences in conducting computational experiments using data generation tools, and participation in interdisciplinary research and development projects.
  • PhD in Mathematics, Computer Science, Physics, Artificial Intelligence or similar field.
  • Proven experience in research work on AI models.
  • Ability to conduct independent research and work in a team, including willingness to collaborate across disciplines and to mentor junior researchers.
  • Very good command of English (and another foreign language).
  • Languages : English – Level Excellent

    Years of Research Experience : 4–10

    Eligibility criteria

  • Submission of all required documents :
  • a letter of application to the Vice‑Rector for General Affairs
  • personal questionnaire for the candidate
  • statement declaring Warsaw University of Technology (WUT) as the primary place of employment, in accordance with the Act – Law on Higher Education and Science
  • statement confirming full legal capacity, enjoyment of full public rights, no final conviction for an intentional crime or intentional fiscal offence, and no disciplinary penalty referred to in Article 276(1)(7) and (8) of the Act
  • copies of the diploma confirming completion of higher education and obtaining the professional title of Master or an equivalent title; certified copy of the doctoral diploma; scientific curriculum vitae (academic CV); list of scientific publications; record of scientific, teaching, and organizational achievements; information on participation in national and international conferences; description of experience in obtaining funding and managing research projects; activities related to technology transfer; experience in leading and working within research teams; supervision activities; information on completed trainings, specialist courses, workshops, and mentoring programmes; other important achievements (awards, distinctions, science popularization activities, etc.).
  • Evaluation Criteria

  • The quality and originality of up to three of the candidate’s scientific achievements (obtained in the last 10 years) in the field in which the project research is to be conducted, compared to achievements in this field at the world’s top research centres.
  • The candidate’s experience in leading a research team or their potential to be a leader.
  • The candidate’s experience in implementing grant projects – either as a project manager or as an executive.
  • The candidate’s experience in commercialising research results and collaborating with industry.
  • The candidate’s participation in the implementation of theses as a supervisor or co‑supervisor of doctoral theses.
  • The candidate’s research results obtained as part of projects indicated in the application, financed from external sources and completed within the last three years, and the impact of these results on the field covered by the research agenda in the application.
  • Selection process

  • Based on the applications received, selected candidates will be invited for an interview.
  • In the next step, a decision will be made about hiring the selected person.
  • Additional comments

    Number of offers available : 1. Company / Institute : Centre for Credible AI at Warsaw University of Technology. Country : Poland. City : Warsaw. Postal Code : 00-614. Street : Rektorska 4. Geofield.

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    Assistant Professor • Warszawa, Województwo mazowieckie, Polska

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