The distinguished professorship, 'Digital Society and Online Engagement', of Prof Dr Marten Risius (http://www.martenrisius.de/) is seeking ambitious doctoral students for the research area 'Social Media Trust & Safety'.

The Faculty of Information Management is thus seeking to fill the following position at the earliest possible date:

Research assistant (f/m/d) in the field of ‘Social Media Trust & Safety’, full-time (100%), remuneration according to pay grade TV-L E13

The successful candidate will work in the area 'AI-driven Hate Speech Detection'. The doctoral program in Information Systems is open to interdisciplinary applicants. The supervision occurs in collaboration with (inter)national experts and offers the opportunity for international research stays and conference visits.
The professorship works on trust and safety issues, including shadowbanning, online extremism, fake news campaigns and hate speech. We work with leading researchers at Stanford Internet Observatory, The University of Queensland, Bocconi University Milan, the University of Colorado Boulder, and Hong Kong Baptist University among others. The team is funded by the Bavarian High-Tech Agenda.

Your tasks
• You will work on research projects with internationally competitive scientific standards.
• You are aiming for a doctorate in the field of information management.
• You will collaborate in research projects related to your topic.
• You will support the preparation of project proposals.
• You will take on administrative tasks.
• You will take on tasks in the supervision of courses.
• You will seek and support dialogue with industry and research partners.
• You will actively participate in local, national and international scientific dialogue.

Your profile
• You have a university degree that qualifies you for a doctorate.
• You are enthusiastic, self-organized, conscientious and team-oriented.
• You are interested in having a positive impact on society.
• You have a very good command of English.
• You are considering an academic career.
• You possess comprehensive knowledge in at least one of the following areas: computer science, information systems, data science, human-computer interaction, cognitive sciences, or a related field.
• You demonstrate exemplary proficiency in the Python programming language and a solid grasp of advanced learning packages such as PyTorch and TensorFlow.

This position is specifically designed for individuals pursuing a doctorate. The initial fixed term is typically one year, during which time candidates identify a doctoral topic. Should they require additional time, an extension of the contract will be sought within the framework of the agreed qualification project (doctorate or other qualification goal, see appendix Guidelines according to WissZeitVG - Free State of Bavaria).

We offer
• We offer a stimulating and supportive working environment that encourages personal and professional growth.
• The chance to work independently on fascinating research projects.
• A wide range of further education and training opportunities, as well as the option of international exchange.
• A modern workplace with flexible hours, home office options and comprehensive health management.
• A friendly and inclusive working environment where equal opportunities and equality are actively promoted for all employees.
• Collaboration with a diverse range of innovative partners from Teaching, research and industry
• We offer support in balancing family and career, including through our dual career service in the Swabian university network and preferential places in our HNU children's island.
• Social benefits in line with the regulations of the public sector, including the option of an additional pension scheme as well as a special annual payment in accordance with the TV-L regulations and the option of a performance bonus.
• Free parking and excellent public transport links

Remuneration is based on the provisions of the Collective Agreement on Pay (TV-L).

The recognition of foreign qualifications requires proof of equivalence. The competent authority can be found via the portal www.anerkennung-in-deutschland.de. We are happy to assist with the process where possible and appropriate.

People with severe disabilities are given preferential treatment if their aptitude, qualifications and professional performance are otherwise essentially the same. The job is generally suitable for part-time workers, provided that full-time staffing is ensured through job sharing.

Please send us your application (in English or German) with the usual documents (max. 2-page CV, certificates, proof of professional background) together with a cover letter in which you tell us when you could start and briefly highlight the following three aspects (max. 200 words per aspect): (1) when would you consider your PhD to be a complete success, (2) what challenges do you anticipate from pursuing a PhD, (3) what do you expect from your PhD supervisor. Please upload the documents to our online portal at www.hnu.de/karriere. The deadline for applications is November 13, 2024.

Please address any personnel questions to Ms Tanja Wanner and any substantive questions to Prof Dr Marten Risius at bewerbung@hnu.de.