Are you a high potential young researcher who recently obtained a PhD degree in computational biomedicine or related fields, and do you want to join our multidisciplinary team to further develop your career as an independent scientist? Do you want to push the frontier of computational modelling in medicine, and help shape the exciting new development of in silico trials? Are you keen to join our international project that aims to develop, validate, and apply the first in silico stroke trial? If you recognise yourself, we are happy to invite you to apply for this position.
An exciting new emerging application of Computational Biomedicine are in-silico trials, which aim to reduce, refine, or even replace animal studies or (pre-) clinical human trials by simulating medical products or treatments on the population level.
In the INSIST project we aim to develop in-silico trials for acute ischemic stroke.
Your role will be to integrate models, as developed within the INSIST project, for virtual stroke populations, brain perfusion and metabolism, stroke treatment options (mechanical thrombectomy and thrombolysis), and statistical clinical outcome models into an overall in-silico stroke trial, to validate it on retrospective data from earlier stroke trials, and in collaboration with medical professionals and medical industry, to design and carry out two prospective in-silico stroke trials.
For application please follow this link: https://www.uva.nl/en/content/vacancies/2019/11/19-750-postdoctoral-researcher-–-in-silico-stroke-trials.html
We (the Computational Science Laboratory) are looking for a PhD candidate and a Scientific Programmer to join our team. Please follow the provided links for further details.
PhD in blood flow simulations
What are you going to do?
Your main objective will be to develop, validate, and apply a new computational model to simulate the flow of red blood cells, platelets, and other components under specific disease and medical device related conditions. You will build on the Multiscale Modelling and Simulation Framework and develop your model within HemoCell to realize an efficient, high performance computational method that can provide answers to complex biological questions in the context of human vascular diseases, such as thrombosis, hemostasis. You will cooperate with external experimental groups throughout the process.
- develop a new multiscale computational model within HemoCell, adding the molecular level, adding biochemistry, and adding platelet adhesion and aggregation, and apply it in the context of human vascular diseases;
- complete and defend a PhD thesis within the official appointment duration of four years;
- collaborate with other researchers within our group and in external groups;
- regularly present intermediate research results at international conferences and workshops, and publish them in proceedings and journals;
- assist in relevant teaching activities.
Scientific Programmer Computational Biomedicine
What are you going to do?
The main focus will be on the development and maintenance of our software portfolio (for an example see our open-source cellular flow modelling toolkit Hemocell and to contribute to workflows in relation to in-silico stroke trials (see INSIST). You will work, together with PhD students and Postdocs, on new, specialized applications of our software, as well as on improving the performance of our software. These applications are often embedded in large international projects in cooperation with external partners in e.g. Sheffield, London, or Geneva. You will support our scientific team to realize efficient HPC simulation solutions with these codes.
This position can give grounds to fast professional development in parallel numerical techniques, simulation methods, and application of state-of-the-art computational solutions for large-scale systems, and High Performance Computing on Europe’s largest supercomputers.
We are seeking two PhD candidates for a computational network science position to work on an exciting research project in an interdisciplinary team. They will focus on the use of mathematical and computational methods to understand social and financial processes in crime and their interplay.
PhD in network information dynamics in criminal networks
You will focus on analysing flow dynamics in (multiplex) networks. You will use information theory and network theory to identify the optimal information positions as well as driver positions (causal influence). The flows of information, goods, money that flow through the system lead to emerging patterns of complex criminal network organisation and behaviour. When does the network reach a tipping point if typical information is transferred through the network? How is money transferred through the network and is this different from the flow of information? As a starting point for inspiration please see the referenced article*.
In the present context a good information position of an individual is to possess information about (or be correlated with) a large number of other individuals, possess information which stays relevant for a long period of time, or both. In addition to the flow of information or causality we are also interested in other flow dynamics, such as money, commodities, or trust.
* Quax, Rick, Andrea Apolloni, and Peter MA Sloot. ; The diminishing role of hubs in dynamical processes on complex networks.’ Journal of The Royal Society Interface 10.88 (2013): 20130568.
PhD in adaption in criminal networks
You will focus on identifying and modelling the dynamics of adaptation to different intervention strategies by law enforcement. Criminal networks are infamous for their resilience against different intervention strategies. Interventions can be aimed at central actors, but also on actors with a specific role within a value chain. Each criminal activity, such as cocaine trafficking, money laundering or migrant smuggling, has its own value chain. For example, illegal cannabis cultivation involves property owners, electricians, cutters, distributers, and sellers, each with specific skill sets and dependence on each other. Read further about the subject in this article*.
The first goal is to understand the adaptation processes after different types of interventions based on historic police data. Second, is to integrate these insights into a model for adaptation that can be used to simulate the different effects of interventions, such as centrality attack, value chain attack, etc. Third, we aim to use the knowledge of adaptation processes and value chains to predict potentially missing links from the inherently incomplete data sets, by matching partial value chains and inferring highly likely unobserved links which would complete the value chain.
*Duijn, Paul AC, Victor Kashirin, and Peter MA Sloot. ‘The relative ineffectiveness of criminal network disruption.’ Scientific reports 4 (2014): 4238.
TNO is an applied sciences institute. In this job profile you will use Computational Science techniques to deal with complex problems driven by various stakeholders, ranging from conceptual modeling to mathematical/computational methods and data analysis.
Candidates preferably master the Dutch language due to the nature of the data and written documents from the stakeholders.
For details please click here.
For questions about this job posting please contact Heleen Wortelboer.
Tenure Track in Data Driven Modelling for Urban Informatics
The study of Urban Informatics refers to creating, applying and using information and communication technology and data to measure, analyse and predict urban processes and phenomena and spans a broad range of areas in computer science/informatics, including the development of sensor systems and networks to capture information about the urban environment and its inhabitants. These sensors generate data that can be analyzed and processed using computational/AI techniques to forecast and predict changes in the urban structure.
Tenure Track position in Complexity
We are looking for a theoretical physicist/complexity scientist for a joint appointment at the Informatics Institute and the Institute for Theoretical Physics, both of the University of Amsterdam.
You should have a broad scientific interest and be able to develop a set of research activities aimed at bringing methods and ideas from theoretical physics to complexity science and vice versa, thereby building new bridges between the various research groups. You will work at the interface of statistical physics, computational science, information theory and complexity science.