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 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.
Description
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.
Nr of positions available : 1
Research Fields
Technology
Career Stage
Early stage researcher or 0-4 yrs (Post graduate)
Experienced researcher or 4-10 yrs (Post-Doc)
More Experienced researcher or >10 yrs (Senior)
Research Profiles
Not defined
Benefits
0 - 2717
Benefits
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.
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.
Requirements
| Technology |
| ENGLISH |
| Good |
| Technology |
| University Graduate |
| 1 |