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 application window for this cycle has ended. The programme page tracks the next cycle.
Source visited 30 Aug 2026 (UTC). A source visit does not establish every employment term or confirm that applications remain open.
- Reviewed evidence is not available for: deadline, employment terms, requirements, application link, compensation.
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
Sources behind this vacancy
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Postdoc on Causal Machine Learning for Spatio-temporal Datasets
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Programme overview and cycle history