The Secure Identity Research Group led by Prof. Dr.-Ing. Volker Roth investigates technical methods of protecting individual information security and privacy, and the impact of information technology within the areas of surveillance and social conflicts.
Job description:
The task of the advertised position entails scientifically analyzing networks of influence that come about due to interdependencies of software components and also developers as well as modeling and analyzing transitive effects within these networks. Non-exclusive examples of such effects include the propagation of software vulnerabilities and, more importantly, the distribution of software licenses. The aim here is to automatically collect, cleanse and merge data from social programming sites (e.g. Github, GHTorrent) and package managers (e.g. Libraries.io) in order to develop a graph model. Furthermore, developers will be surveyed online about their preferences when choosing software licenses. Based on these findings, the aforementioned effects are to be modeled and investigated in a suitable manner. The results shall be published in scientific fora. Besides that, project reports are to be prepared for the project sponsor: the German Foundation for Peace Research (DSF).
The funds for this position are limited to an annual salary in accordance with remuneration 13 TV-L FU. Within this financial framework, the length of service can be arranged freely and flexibly: you may, for instance, choose a 100% position for one year, or a 75% position for 16 months, or a 60% position for 20 months. Splitting the position into two 50% positions is also possible, provided that the applicant situation allows for this. If you consider applying for a position with less than 100%, please state your exact preferences in your application. Otherwise, it is assumed that you are applying for a 100% position for one year.
As a research assistant, you will be supported by a student assistant for approximately 40 hours per month.
Funds to attend the MSR and ICSE conferences are available.
The position also provides an opportunity to develop an attractive research program with the goal of obtaining follow-up financing.
Requirements:
Candidates must hold a university degree (diploma or master's degree) in computer science, data science or mathematics minoring in computer science.
(Professional) Experience:
Automated collection, processing, and analysis of large data sets derived from publicly available websites or databases; conducting and evaluating user surveys; analyzing large graphs.
Desirable:
Holding a doctorate or having completed a doctoral program in one of the required disciplines is highly desirable. Interest in the societal impacts of security and privacy. Curiosity and research mentality. Experience and interest in independently developing and publishing scientific results in international academic conferences, e.g. the Mining Software Repositories Conference.
For further information, please contact Mrs. Anna Maria Hengst (
anna.hengst@fu-berlin.de / +49 30 838 60526).
Applications should be sent by e-mail, together with significant documents, indicating the
reference code, in PDF format (preferably as one document)
no later than June 14th, 2021 to Mrs. Anna Maria Hengst:
anna.hengst@fu-berlin.de
On the given occasion and for the duration of the essential on-site operations by Freie Universität Berlin, we kindly ask you to apply electronically by email. The processing of a postal application cannot be guaranteed.
Freie Universität Berlin
Fachbereich Mathematik und Informatik
Institut für Informatik
Secre Identity Research Group, project NOMILU
Mrs. Anna Maria Hengst
Takustr. 9
14195 Berlin (Dahlem)
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