Postdoc on Causal Machine Learning for Spatio-temporal Datasets
Leiden University
2.5-year postdoctoral position developing causal machine learning methods for spatio-temporal datasets at LIACS.
The current cycle is confirmed, the official application route is active and a closing date is recorded.
Source review was due 02/09/2026. Confirm details on the official page.
Vacancy terms
- Career stage
- Postdoctoral researcher
- Employment type
- Not stated
- Contract
- Not stated
- Contract ends
- Not stated
- Original contract term
- Full-time 2.5-year position, initially one year and extendable by 1.5 years after positive evaluation.
- Schedule
- 38 hours per week
- Workplace
- Not stated
- FTE
- Not stated
- Salary
- €3,546 to €5,538 gross per month
- Department or school
- Not stated
- Posted
- Not stated
Responsibilities
- Conduct research leading to peer-reviewed publications
- Collaborate with LIACS researchers
- Contribute to teaching and supervision
Qualifications and requirements
Qualifications
- Relevant PhD
- Machine learning expertise
- Strong programming skills
- Excellent English
Requirements
No additional structured requirements were captured.
Documents and steps
Documents
- Research plan
- Key publication links
- Cover letter
- Two referee contacts
- Academic CV
- PhD thesis
Steps
Review the official vacancy
Apply online through Leiden University careers system
Why this vacancy is published
This vacancy was checked against the university's official careers system.
No public evidence excerpt is available yet. Use the linked official source to confirm every material claim.
Published revision history
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Postdoc on Causal Machine Learning for Spatio-temporal Datasets
Use the enduring programme page to check for a verified newer cycle. A closed vacancy never implies that another round is open.
Programme overview and cycle history