Postdoc in Artificial Intelligence for Scenario Forecasting (1.0 FTE)

Tilburg University, Netherlands

Updated: 3 months ago
Deadline: 08 Feb 2026

12 Jan 2026
Job Information
Organisation/Company

Tilburg University
Research Field

Computer science » Cybernetics
Computer science » Programming
Researcher Profile

First Stage Researcher (R1)
Country

Netherlands
Application Deadline

8 Feb 2026 - 22:59 (UTC)
Type of Contract

Temporary
Job Status

Not Applicable
Hours Per Week

40.0
Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The Intelligent Systems Department at Tilburg University together with the Netherlands Defence Academy invites applications for a fully-funded postdoctoral position in the interdisciplinary area of AI-driven scenario forecasting. This position is in collaboration with the Data Science Center of Excellence of the Ministry of Defense of the Netherlands. The project consortium brings together a number of pioneering experts in the field and aims to develop and reflect on (AI) solutions to how to deal with new challenges in cybersecurity of the Dutch armed forces.

The postdoctoral candidate will work on a project developing and evaluating forecasting models for the analysis of defense relevant scenarios. The project will be led by prof. Dr. Roy Lindelauf (NLDA, TiU), and prof. Dr. Marie Postma (Intelligent Systems Department at Tilburg University). The project aims to integrate concepts, methodologies, and information derived from Bayesian modeling, data science, cognitive science, and risk analysis. Its primary objective is to create advanced forecasting models, generate meaningful indicators using open-source data, assess the reliability, transparency, and applicability of these models, and validate them through applicable use-cases.


Where to apply
Website
https://www.academictransfer.com/en/jobs/357709/postdoc-in-artificial-intellige…

Requirements
Specific Requirements
  • Master’s degree in computer science or artificial intelligence, data science or a related field.
  • Background in Bayesian networks, risk analysis or uncertainty quantification (preferred).
  • Knowledge of data science in general as well as practical experience with conducting data science analyses with good programming skills.
  • Excellent knowledge of English and good academic writing skills.

Additional Information
Benefits

Tilburg University offers excellent benefits in a pleasant working environment:

  • A full-time position (1.0 FTE)
  • Dutch citizen, fluency in Dutch, excellent command of English
  • The selected candidate will receive a contract for 18 months.
  • A salary ranging from a minimum of 3.546 to a maximum of 5.538 gross per month for full time employment, based on UFO profile Researcher 4 and salary scale 10 of the Collective Labour Agreement for Dutch Universities.
  • A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually).
  • Over 8 weeks of vacation leave.
  • Hybrid working with home working allowance (€2 p/day) and internet allowance (€25 p/month).
  • Reimbursement sustainable commuting: walking, cycling, and public transport.
  • Options model for additional leave, pension, a bicycle or personal training.
  • Assistance in finding accommodation (for foreign employees).
  • 30% rule for international employees (if applicable).
  • Pension through ABP.
  • Ample training offer: personal development, leadership, education, research or language courses.
  • Inclusive work culture: everyone welcome, equal opportunities.
  • A green, inviting campus that’s easily accessible by public transport.

For more information, please see our website  and the CLA Dutch Universities .


Selection process

Want to apply?

We kindly invite you to apply before February 9, 2026; this can only be done online. To apply, please submit:

  • a motivation letter in which you describe why you want to do this research, and why you are the right person to do it;
  • a full curriculum vitae.

Additional comments

More detailed project information can be provided on request: please contact Marie Safar Postma (Marie.Postma@tilburguniversity.edu ).


Website for additional job details

https://www.academictransfer.com/357709/

Work Location(s)
Number of offers available
1
Company/Institute
Tilburg University
Country
Netherlands
City
Tilburg
Postal Code
5037 AB
Street
Warandelaan 2
Geofield


Contact
City

Tilburg
Website

http://www.uvt.nl/
Street

Warandelaan 2
Postal Code

5037 AB

STATUS: EXPIRED

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