Biodiversity is under pressure worldwide, but is essential for our health, food security and well-being. What is the influence of human actions on ecosystems? Can we provide biodiversity-inclusive solutions for our key societal challenges? These questions are central to the Biodiversity research the…

Promotor: J. N. Kok, Co-promotor: A. J. Knobbe

Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…

Computers are capable of making incredibly accurate predictions on the basis of machine learning. In other words, these computers can learn without intervention once they have been pre-programmed by humans. At LIACS, we explore and push the borders of what a revolutionary new generation of algorithms…

Automated Machine Learning (AutoML) is widely used to automatically build a suitable practical Machine Learning (ML) model for an arbitrary real-world problem, reducing the effort of practitioners in the ML development cycle for real-world applications. Optimization is a key part of a typical AutoML…

Urbanisation is steadily increasing with estimates expecting that 68% of the global population will live in cities by 2050. To accommodate the rural to urban transition, large quantities of land are transformed from natural to urban lands.

The master’s specialisation Biodiversity and Sustainability at Leiden University provides students with a much better understanding of the biological processes which are essential for creating a sustainable society.

Naturalis Biodiversity Center is a national museum of natural history and a research center on biodiversity in Leiden, Netherlands.

For a first time the atlas maps the soil biodiversity of the entire planet, and provide s comprehensive analysis of human-induced threats to soil organisms and soil functioning, facilitating development of new policies to protect soil and soil organisms.

The university is making its campuses future-proof with measures for climate adaptation and biodiversity. You can read in the Sustainability Implementation Agenda 2023–2026 how we harvest rainwater, limit heat stress and make more room for greenery.

How can we monitor and protect biological and cultural diversity in Suriname best? What can we learn from local knowledge and customs associated with biodiversity? How can we understand current species, acoustical, behavioural, and ecological diversity from an evolutionary perspective? Can we predict…

Evolutionary and ecological interactions affect species on genetic and phenotypic levels. This theme aims to understand these processes at multiple levels: from molecules to genomes to populations and to communities. Our research focuses on evolutionary responses to anthropogenic change, the role of…

Keeping our planet healthy in a just and responsible way.

As we are working very hard to make our University more green, it is of upmost importance that you join us in our battle and start increasing the local biodiversity from your own house! Every bit will help, it is beneficial for you own mental health and most importantly it is fun! We have created this…

This project investigates which metaphors are problematic in machine translation, when, why, and for whom.

All the data stored and processed by our computers is encoded as sequences of zeros and ones, called bits. Quantum computers offer an alternative to this traditional way of encoding and manipulating information.

Leiden has one of the most petrified inner-cities of The Netherlands. This is not beneficial for the biodiversity crisis and Leiden University, with a significant number of buildings within the Singels, should be more proactive on this matter. Currently, LUGO is taking steps with internal departments…

Leiden has one of the most petrified inner-cities of The Netherlands. This is not beneficial for the biodiversity crisis and Leiden University, with a significant number of buildings within the Singels, should be more proactive on this matter. Currently, LUGO is taking steps with internal departments…

This thesis investigates how quantum, quantum-inspired, and hybrid quantum-classical computation can enhance key points of the automated machine learning (AutoML) pipeline under the constraints of noisy intermediate-scale quantum (NISQ) devices.

One of the main research focuses of the Hortus botanicus Leiden is to study how the current biodiversity we see today, has originated, changed, and developed over time. The Hortus wants to study the relationship between species in specific focal taxa and see how they have diverged over time.

The focus of this thesis is on the technical methods which help promote the movement towards Trustworthy AI, specifically within the Inspectorate of the Netherlands.

Cambridge University Press has published a new book co-authored by researchers from Leiden University, offering both an introduction to machine learning and deep neural networks, and an overview of their applications in quantum physics and chemistry — from reinforcement learning for controlling quantum…

This thesis investigates the contribution of quantum computers to machine learning, a field called Quantum Machine Learning. Quantum Machine Learning promises innovative perspectives and methods for solving complex problems in machine learning, leveraging the unique capabilities of quantum computers…

How can we effectively increase biodiversity and climate resilience in Dutch cities from an ecological, societal and governmental perspective?

The marine shipping industry is one of the strongest emitters of nitrogen oxides (NOx), a pollutant detrimental to ecology and human health. Over the last 20 years, the pollution produced by power plants, the industry sector, and cars has been decreasing.

We investigate the processes underlying the patterns. We aim to explain biodiversity by investigating the distribution, function, development, and evolution of body forms, as well as physiological and behavioural variety among species. We collaborate with those specialized in describing, archiving,…

Sewer pipes are an essential infrastructure in modern society and their proper operation is important for public health. To keep sewer pipes operational as much as possible, periodical inspections for defects are performed.

This PhD project investigates how literary translators and journalists react and respond to machine-translated metaphors and what the repercussions for professional practice are.

Freshwater biodiversity has been threatened by eutrophication due to excessive nutrients in the environment. Releasing the freshwater species from such pressures requires efforts from industry and manufacturers to avoid emissions to vulnerable and high-risk regions.

Lecture Hall, Einsteinweg 57, 2333 CC, Leiden

Time-series forecasting through modelling sequences of temporally dependent observations has many industrial and scientific applications. While machine learning models have been widely used to create time-series forecasting models, creating efficient and performant time-series forecasting models is…

How to come to valid risk stratification of alcohol use disorder?

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Lipsius, Cleveringaplaats 1, 2311 BD, Leiden

FSW building, Wassenaarseweg 52, 2333 AK, Leiden

Snellius, Niels Bohrweg 1, 2333 CA, Leiden

Huygens, Niels Bohrweg 2, 2333 CA, Leiden

Kamerlingh Onnes Building, Steenschuur 25, 2311 ES, Leiden

Schouwburgstraat, Schouwburgstraat 2, 2511 VA, The Hague

Plexus Student Centre, Kaiserstraat 25, 2311 GN, Leiden

University Library, Witte Singel 27, 2311 BG, Leiden

Van Steenis, Einsteinweg 2, 2333 CC, Leiden

Wijnhaven, Turfmarkt 99, 2511 DP, The Hague

The ongoing increase in antimicrobial resistance combined with the low discovery of novel antibiotics is a serious threat to our health care.

Globally and regionally, biodiversity is declining and there are shifts in species’ occurrences and functional traits.

How can innovative collective action methods restore biodiversity in socio-ecological lifescapes across livestock-dominated regions?

We explored how to morphologically classify well-resolved jetted radio-loud active galactic nuclei (RLAGN) in the LOw Frequency Array (LOFAR) Two-metre Sky Survey (LoTSS) using machine learning.

Promotores: Prof.dr. J. Zaanen & Prof.dr. K.E. Schalm