Faculty of Computer Science:
Chair of Security ad Trustworthiness of Online Information
In order to fill a fixed-term position in full-time (39.83 hours/week = 100%;) at the earliest possible date, we are looking for 2 full-time positions
Searching for postdocs and PhD students interested in researching information-based attacks on the internet and/or the impact of machine learning on the criminal justice system (m/f/x)
The lab's focus is on adversarial threats to digital information. We investigate how information is manipulated online and how machine learning contributes to and helps mitigate this manipulation. We study information-based attacks, algorithmic integrity, and adversarial machine learning, with the goal of restoring trust in digital information flows. Ideal candidates have a degree in computer science or a related field with a background in machine learning and/or cybersecurity and a strong interest in either online information threats, such as bots and disinformation, or the role of ML in justice and governance, such as bias in ML-based systems. Please feel free to reach out directly if you have any questions about the position.
The fundamental research about how information is manipulated online and how machine learning contributes to and helps mitigate this manipulation is one of the main aspects. Researching information-based attacks on the internet and/or the impact of machine learning on the criminal justice system is another aspect for our research work.
Your tasks:
Your profile:
Your Profile (PhD Students):
Your Profile (Postdocs):
German is not required for these positions, but German courses are available for anyone interested in learning the language.
We offer:
The position is embedded in a creative, dynamic, and internationally renowned research environment.
We prioritize a balanced and family-friendly work-life relationship, offering options for flexible working hours and part-time remote home-office arrangements.
Support in combining family life and work (including childcare arrangements/holiday offers)
Further information:
The position is salaried and based on the collective agreement of the Länder (TV-L). If the personal and collective agreement requirements are met, the employee will receive pay grade E13 TV-L.
Further information can be found at https://oeffentlicher-dienst.info/ (in German).
The place of work is Ruhr University Bochum.
The load of teaching will be calculated according to § 3 of Lehrverpflichtungsverordnung (state of North Rhine-Westphalia).
The Staff Council has the right to participate in all selection interviews. At the request of a candidate (m/f/x), it will ensure its participation in the entire procedure. Please contact wpr@rub.de.
The Ruhr-Universität Bochum is one of Germany’s leading research universities, addressing the whole range of academic disciplines. A highly dynamic setting enables researchers and students to work across the traditional boundaries of academic subjects and faculties. To create knowledge networks within and beyond the university is Ruhr-Universität Bochum’s declared aim.
The Ruhr-Universität Bochum stands for diversity and equal opportunities. For this reason, we favour a working environment composed of heterogeneous teams, and seek to promote the careers of individuals who are underrepresented in our respective professional areas. The Ruhr-Universität Bochum expressly requests job applications from women. In areas in which they are underrepresented they will be given preference in the case of equivalent qualifications with male candidates. Applications from individuals with disabilities are most welcome.
Contact persons for further information:
Prof. Dr. Rebekah Overdorf Tel.: +49 234 32 17888
Laura Knittig-Christophliemk Tel.: +49 234 32 15508
Travel costs, accommodation costs and loss of earnings or other application costs for job interviews can unfortunately not be reimbursed.
We look forward to receiving your application via our online application portal by 2025-06-10. Please make sure to mention the reference number ANR 4586.
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