Universiteit Leiden
The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a:
Postdoc on Causal Machine Learning for Spatio-temporal Datasets
The is looking for an excellent Postdoc 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 4 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 and the research groups and collaborate with researchers at the Natural Computing (NACO) and the Explanatory Data Analysis (EDA) Research Groups. Moreover, there are plenty of opportunities for interaction and collaboration with other groups at the institute and internationally.
The research project 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. At the same time, configuring causal machine learning algorithms is extremely difficult, being an unsupervised learning task. In this project, we aim to design algorithmic solutions (e.g., new Automated Machine Learning approaches) for automatic and scalable assessment of interventions based on observational spatio-temporal datasets generated by modern sensing technologies (e.g., IoT sensors, mobile devices, Earth observations).
Key Responsibilities
Within this position, it is expected that you will:
Selection Criteria
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.
Research at our faculty
Terms and conditions
We offer a full-time 4-year position for initially one year. After a positive evaluation of the progress of the thesis, personal capabilities and compatibility the appointment will be extended by a further three years. Salary ranges from € 3.226,- until € 5.090,- gross per month (pay scale 10 in accordance with the Collective Labour Agreement for Dutch Universities).
Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3%), training and career development and sabbatical leave. Our individual choices model gives you some freedom to assemble your own set of terms and conditions. Candidates from outside the Netherlands may be eligible for a substantial tax break.
D&I statement
Diversity and inclusion are core values of Leiden University. Leiden University is committed to becoming an inclusive community which enables all students and staff to feel valued and respected and to develop their full potential. Diversity in experiences and perspectives enriches our teaching and strengthens our research. High quality teaching and research is inclusive.
Applications
Please submit online your application via the blue button in the vacancy. Please ensure that you upload the following additional documents quoting the vacancy number:
Only applications received before 30 September 2024 can be considered.
