The Faculty of Technology, Policy and Management contributes to sustainable solutions for technical challenges in society by combining the insights from engineering with the humanities and the social sciences. The Department of Multi-Actor Systems combines engineering and social science to better understand the dynamics and behaviour of large-scale technical systems and develop effective policies for them. It comprises some 35 tenured faculty members and approximately 35 post-docs and PhDs. A significant amount of the research is devoted to Internet-related technologies. The staff also teaches in the bachelor and master programmes. Economics of Cybersecurity is a 12-person team of computer scientists, engineers and social scientists which analyses large-scale measurement and incident data sets to identify how the markets for Internet services deal with security risks. The team collaborates with many industry players and government parties, and its earlier work has been covered widely by the media, including the BBC, the MIT Technology Review, Slashdot and countless security websites. Job description The candidate will participate in a project studying malware-based attacks on payment services, led by Michel van Eeten at TU Delft and Herbert Bos at VU Amsterdam. The project is a close collaboration with the Free University of Amsterdam, the High Tech Crime Unit of the Dutch Police, internet security company FOX-IT, and three large banks. The candidate will help unravel the criminal ecosystem around financial malware. The candidate will work alongside another computer scientist working on reverse engineering the malware and a criminologist studying the underground markets. The PhD candidate will collect and analyse malware and botnet data to understand the value chain of payment attacks and identify effective countermeasures. In Delft, the candidate is part of a larger research team working on the cutting edge of cybersecurity, technology and economics. Requirements We are looking for someone with an MSc in computer engineering/science or an adjacent field. Female researchers are especially encouraged to apply. The PhD needs to understand malware-related tools, techniques and data as well as processing and analysing large datasets. Some background in econometric techniques, such as regression modelling, is helpful, but more so is a willingness to learn them. The PhD needs to be able to co-author research papers for leading conferences. There are also opportunities to teach and supervise students. Conditions of employment TU Delft offers an attractive benefits package, including a flexible work week and the option of assembling a customised compensation and benefits package (the 'IKA'). Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.phd.tudelft.nl for more information. Information and application For more information about this position or to apply, please contact Prof. Michel van Eeten, phone: +31 (0)15-2787050, email: m.j.g.vaneeten@tudelft.nl. To apply, please e-mail a detailed CV and list of publications along with a letter of application by 28 February 2015 to Jamila Eddini, vacature-tbm@tudelft.nl. When applying for this position, please refer to vacancy number ATTBM 15.003. http://recruitment2.tudelft.nl/vacatures/index.php?lang=en&id=542941&type=w Application Deadline : 28 February 2015