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.
Are you looking for an interesting job to combine complexity research with creativity and gaming expertise in order to solve a huge societal problem?
In that case you can become the PhD candidate or postdoc in our ambitious 4 years interdisciplinary project that aims to get a grip on this huge societal problem of loneliness among older persons.
You challenge is to create synergy between scientists, creative experts in digitized social health games, older persons, and a big private partner (Dela) with social interest. The focus of the complexity research is around social networks and psychological resilience.
Using an interdisciplinary approach the project aims to get grip on this complex societal challenge by developing appealing new intergenerational digital games that promote interaction between different age-groups, optimize feasibility and conduct studies to test the effects of social health games on senior’s loneliness and social networks.
For this 4 years NOW funded project we have room for two full time innovative PhDs and a part time post doc position (2 yrs 0.5 or 4 yrs 0.25 fte).
The ‘complexity’ PhD will be focusing on complexity science methods (e.g., network analysis, stability and tipping point analyses, computational modeling such as ABM), and thus has a sufficient background in one of the relevant exact sciences.
The other PhD will have a focus and background in game development, preferably also with social science application and interested in effect evaluation via science of crowds sub-projects through data acquisitions via the games.
The Post doc preferably has experience in social network analyses and digitalized data acquisition. It goes without saying that all three team members will have an interdisciplinary mindset, are team players, and eager to bridge the gap between methods and application.
We offer an interesting PhD training and project guidance through a highly qualified team collaboration of the University Utrecht (Social Sciences), University of Amsterdam (Computational Sciences) and Radboud University (Medical Sciences). The studies will take place in a network with a creative industry partner (Games Solutions Lab), a market party (Dela), and a network of older persons (Network “100”). The project will start October or November 2019.
If this seems to be the ultimate challenge for you and you are keen on contributing and developing your innovation and scientific talents, you can get more information from prof dr Marcel Olde Rikkert, and co-leaders Dr Rense Corten or dr Rick Quax. You may apply through any of these project members.
- Ph.D. candidate
- Location: shared between Nijmegen and Amsterdam, The Netherlands
- 4 years full-time
- Deadline applications: September 13, 2019
- Start date: not before November 2019
For the detailed, generic vacancy description please see this document.
Postdoc In Silico Stroke Trials
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.
For more details please visit: https://www.uva.nl/en/content/vacancies/2019/06/19-418-postdoctoral-researcher-–-in-silico-stroke-trials.html?z
PhD Position on High Performance Multiscale Modeling of Blood Flows
We seek a multidisciplinary researcher that is capable of developing advanced multiscale models for blood flows, and together with collaborators in experimental laboratories and medical centers, apply these models to probe deeper into our understanding of thrombosis and hemostasis. If you are an ambitious researcher, interested in joining our young and dynamic team, we invite you to send us your application.
Scientific Programmer Computational Biomedicine
Are you a highly skilled and motivated scientific programmer, with a keen interest to work closely together with scientists, and do you want to apply your skills in cutting edge computational projects, utilizing the most advanced High Performance Computing infrastructure in Europe? Do you want to work in international projects, with multidisciplinary teams, and work in a young and dynamic team? If you recognize yourself in this, we are happy to invite you to apply for this position.
For more details please visit: https://www.uva.nl/en/content/vacancies/2019/06/19-405-scientific-programmer-computational-biomedicine.html?z