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# Postdoc on Causal Machine Learning for Spatio-temporal Datasets

- **Company:** Liacs
- **Location:** Leiden, Netherlands (Remote available)
- **Salary:** €3,546.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Programming, Data Centers, Python (Programming Language), Machine Learning, SAP (Applications), Load Balancing, Media Technology, Deep Learning, Information Technology, Programming Languages
- **Published:** August 7, 2026
- **Apply:** https://www.careerjet.nl/job/nlf0aa0120e610b487b0d291d33e452363/eaa

## About the Role

We are looking for a candidate with expertise or experience with one or more of the following topics: machine learning for spatio-temporal data, causal machine learning (casual discovery and causal inference), and automated machine learning.

 * holding (or close to acquiring) a PhD degree in Computer Science, Artificial Intelligence or a closely related field;
 * strong research vision and an academic mindset;
 * strong publication record;
 * being able to collaborate with scientific peers inside and outside your own research area;
 * strong programming skills in Python or other programming languages;
 * excellent proficiency and communication skills in English.

## Description

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Accept All Cookies, The Leiden Institute of Advanced Computer Science ( ) is looking for an excellent Post-doc researcher (1.0 FTE) with a background in Computer Science (or a closely related field) to join a project focused on developing an advanced machine learning framework for spatio-temporal datasets. The position is for 2.5 years and is partially funded by the Dutch Research Council (NWO) through the Aspasia premium awarded to dr. Mitra Baratchi for her research on machine learning for spatio-temporal data. The successful applicant will be embedded in the Spatio-temporal Data Analysis and Reasoning ( ) and the Automated Design of Algorithms ( ) research groups. Moreover, there are plenty of opportunities for interaction and collaboration with other groups at the institute and internationally.
The research is broadly focused on automated intervention design. An intervention is any external interference in an ongoing process that is performed to achieve a particular outcome. Being able to answer interventional questions automatically will help decision-makers solve complex challenges (i.e., reducing methane emissions or reducing the infection rate during a pandemic). Most machine learning algorithms designed for spatio-temporal data do not allow assessing the impact of interventions without capturing causal links. In this project, we aim to design algorithmic solutions grounded in causality for the automatic and scalable assessment of interventions using observational spatio-temporal datasets generated by modern sensing technologies (e.g., IoT sensors, mobile devices, Earth observations).
What you will do
Within this position, it is expected that you will:

 * conduct research within the scope of the project leading to peer-reviewed publications in journals and conference proceedings;
 * collaborate closely with Dr. Elena Raponi (the Natural Computing Group) and dr. Saber Salehkaleybar (the Explanatory Data Analysis Group) at LIACS;
 * contribute to the teaching activities of the STAR Research Group and supervision of BSc and MSc students.

Where you will work
Curiosity and passion for science are what connect our people: we seek to know, understand, interpret, and create. Our mission is to provide excellent education and research across the full spectrum of the natural sciences, contributing to solutions for major societal challenges. Our eight institutes-ranging from mathematics, computer science, astronomy, physics, chemistry, and biopharmaceutical sciences to biology and environmental sciences-together with the Lorentz Center and the Hortus botanicus, form the backbone of our faculty and are closely connected. We work in a safe, stimulating, and international environment where enthusiasm and passion drive both research and education, and where building connections and collaboration, both within and beyond the faculty, come naturally.
The faculty is home to more than 2,700 staff members and over 6,000 students enrolled in nine bachelor's and fifteen master's programs. We are located at the heart of the Bio Science Park, one of Europe's largest science parks, where academia and industry come together.
You will be part of the Leiden Institute of Advanced Computer Science (LIACS). LIACS offers the bachelor's programs in Computer Science and Data Science/Artificial Intelligence, as well as master's programs in Computer Science, ICT in Business and the Public Sector, Media Technology, and Science Based Business. According to an independent research assessment, LIACS is one of the leading computer science departments in the Netherlands. We strive for excellence in a supportive institute where academic achievement, enjoyment, and diversity go hand in hand. We offer a clear and welcoming career path for young and talented scientists with the ambition to grow. For more information about LIACS, visit our website., When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer.
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