Join us
We always have many exciting opportunities to join our group as research student, giving you the opportunity to work in interdisciplinary teams with international collaborators. Below is a (incomplete) list of projects that are currently actively looking for someone. Or just directly contact our group members if you are interested in one of our research areas.
Summer Project: Machine learning framework to analyse molecular dynamics simulations
Summary Molecular dynamics (MD) simulations encompass a range of computational techniques useful to sample the dynamical behaviour of molecules and relate it to their structure. Finding the link between molecular dynamics and molecular function is key to the...
Summer Project: Computational method for evaluating cell identity
Summary This project lies in the intersection of Data Science and Computational Biology, aiming to provide a data-driven computational method and a standalone tool for scoring cell identity that will be i) easy to use and ii) integrated in open-source development...
Summer Project: Auditing Machine Learning Models – Quantifying Reliability using Adversarial Regions
Summary We aim to design and develop new methods to attack machine learning models and identify the lack of reliability, for example related to bias in the data and model. These issues can cause problems in various applications, caused by weak performances of...
Summer project: An IQ Test for AI
Summary The project will begin the development of a standardised metric for measuring the capabilities of artificial intelligence systems. This metric will be based on the system's performance during a suite of tasks that test decision making. The project's...
Summer Project: Identifying and analysing bat calls
Summary Our goal is to use machine learning methods to identify patterns in large bat call data sets. Bat calls are recorded by a network of sensors that are set up in forests and near rivers. They record sounds at the frequencies of bat calls, producing typically...
Summer Project: Machine learning for mass spectrometry data analysis
Summary As new mass spectrometry (MS) technologies are rapidly developed to cope with the complexity of biological samples emerging in environmental and biomedical sciences, standard tools for MS analysis fail to exploit the full data potential offered by the new...
Summer Project: Finding Patterns in Chemical Reactions
Summary In Cheminformatics, a common task is to predict metabolic reactions and pathways. This is usually done by encoding expert knowledge into transformation rules which are generalisations of collections of reactions and work similar to regular expressions. If...
PhD position in Spatio-Temporal Data Mining
Summary Spatio-Temporal Data Mining is an emerging research area under the concept of smart city and smart nation. It covers a wide range of research problems, including geospatial topic mining, trajectory mining, spatial region analysis, user mobility modeling and...
Postgrad students for the project “Deep Generative Models for Anomalous GPS Trajectory Detection”
Summary With the availability of large-scale GPS trajectory data, automatically detecting anomalous trajectories has become a critical concern in many real-world scenarios. For example, taxi drivers may take unnecessary detours to overcharge tourists. The main...
Student project – Confidentiality methods in official statistics
Summary Statistical disclosure control (SDC) methods, like random rounding, are commonly used by official statistics organisations (including Stats NZ Tatauranga Aotearoa) with the goal of preventing individuals or organisations from being identified. Our project...
