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Postdoctoral Researcher in Data Science, AI & Archaeological Data Analysis – Nicolaus Copernicus University in Torun, Poland | Apply by 30 April 2026

About the Position

Nicolaus Copernicus University in Torun invites applications for a funded Postdoctoral Researcher position in Data Science, AI, and Archaeological Data Analysis at the Institute of Advanced Studies, located in Toruń, Poland. This exciting academic opportunity focuses on analysing large, heterogeneous historical, archaeological, and environmental datasets. Moreover, it contributes to international research initiatives in interdisciplinary computational science and quantitative modelling.

The successful candidate will work collaboratively within the Human Ecology Group and the ERC Synergy Grant EUROpest. They will undertake independent research using statistical modelling, network science, and machine learning techniques. Furthermore, access to advanced datasets and innovative AI applications ensures a productive environment for impactful publications and long-term career development.

Applicants must hold a PhD in computer science, mathematics, physics, or related quantitative fields. They should demonstrate strong programming and data analysis expertise using Python, R, or similar tools. In addition, candidates with experience in Bayesian modelling, complex systems, or archaeological data will be highly valued.

This is a full-time postdoctoral position for 5 years, starting July 2026, offering competitive funded salary and career progression opportunities. Therefore, the role provides international collaboration, conference participation, and potential pathways to independent research and academic leadership.

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Position/ Job Details

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Research Area

The research project focuses on:

  • Large-scale archaeological and environmental data analysis
  • Network science and complex systems modelling
  • Statistical and Bayesian inference methods
  • Machine learning and AI-driven analytics
  • Social-ecological and epidemiological dynamics
  • Multimodal data integration (spatial, temporal, relational)
  • Climate change, disease spread, and historical patterns

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Eligibility Criteria

Minimum Requirements

  • PhD in Mathematics, Computer Science, Physics, or related discipline
  • Strong publication record in peer-reviewed journals
  • Programming experience (Python, R, MATLAB, Julia)
  • Experience with large-scale and complex datasets
  • Knowledge of advanced data analysis and modelling techniques

Preferred Qualifications

  • Experience with machine learning or Bayesian approaches
  • Background in archaeological or environmental data analysis
  • Contributions to open-source software or repositories
  • Interdisciplinary research collaboration experience

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Key Responsibilities

  • Conduct exploratory and inferential data analysis
  • Develop computational and statistical models
  • Collaborate with interdisciplinary research teams
  • Curate and manage large multimodal datasets
  • Publish in high-impact academic journals
  • Support AI-based research and modelling development

Application Process

Submit your application and required documents via email as listed below.

Required Documents:

  • Academic CV
  • Cover letter
  • Publication list
  • Proof of a PhD degree
  • Relevant supporting documents

Important Dates

  • Applications Open: 27 March 2026
  • Application Deadline: 30 April 2026 (Europe/Warsaw)
  • Interview Period: Not specified
  • Expected Start Date: July 2026

Where to Apply

📧 Contact for Queries
Email: humeco@umk.pl

This position offers an excellent opportunity for scholars seeking fully funded research positions, international academic collaboration, and advanced research opportunities at Nicolaus Copernicus University in Torun, Poland.

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