Postdoc on Causal Machine Learning for Spatio-temporal Datasets

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 Leiden Institute of Advanced Computer Science (LIACS) 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 Spatio-temporal data Analysis and Reasoning (STAR) and the Automated Design of Algorithms (ADA) 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:

• 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;
• engage in teaching activities of the STAR Research Group and supervision of BSc and MSc students;

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.

• 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;

Research at our faculty

The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our people are committed to expand fundamental knowledge by curiosity and to look beyond the borders of their own discipline; their aim is to benefit science, and to make a contribution to addressing the major societal challenges of the future.

The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental sciences. The research activities are organised in eight institutes. These institutes offer eight bachelor’s and twelve master’s programmes. The faculty has grown strongly in recent years and now has more than 2.300 staff and almost 5,000 students. We are located at the heart of Leiden’s Bio Science Park, one of Europe’s biggest science parks, where university and business life come together.

The Leiden Institute of Advanced Computer Science (LIACS) is the Artificial Intelligence and Computer Science Institute in the Faculty of Science of Leiden University. We offer courses at the Bachelor and Master of Science level in Artificial Intelligence, Computer Science, ICT in Business, Media Technology, and Bioinformatics. According to an independent research visitation, we are one of the foremost computer science departments of the Netherlands. We strive for excellence in a caring institute, where excellence, fun, and diversity go hand in hand. We offer a clear and inviting career path to young and talented scientists with the ambition to grow.

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.