Postdoc on Causal Machine Learning for Spatio-temporal Datasets

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• 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. Required Cookies These cookies are required to use this website and can’t be turned off. Required Cookies Show More Details Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function:

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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.

A full-time 2,5 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 another 1,5 year. This contract falls under the CLA of Dutch Universities; A salary between € 3.546,= and € 5.538,= gross per month, based on a full-time appointment (38 hours, Payscale 10); A holiday allowance (8%), an end-of-year bonus (8,3%), and an attractive pension scheme at ABP; Full reimbursement of public transport commuting costs for home-to-work travel; Flexible working hours: as a standard, you are entitled to a minimum of 29 leave days on the basis of a full-time working week of 38 hours; you can also save for extra leave, for example by working 40 hours a week, and in this way accrue an extra 96 leave hours, or exchange 96 leave hours for a 36-hour week. Lots of options when it comes to secondary employment conditions; we can, for example, discuss options for a sabbatical or paid parental leave. Within our terms of employment individual choices model, you can exchange leave days and/or salary for benefits such as an advantageous sports subscription and bicycle scheme; If your work allows it, hybrid working is possible within the Netherlands; A home-working allowance (day and internet allowance) and attention for good workplaces. The University will also provide you with a laptop. What we value Promoting an inclusive community is central to Leiden University’s values and vision. We strive to be an open community in which all students and staff members feel valued and respected, and are able to fully develop themselves. We consider an inclusive academic environment, where students and staff can share their experiences and viewpoints, to be essential for the development of talent.