Stellenausschreibung
Location
Duisburg
Application area
Research Center Trustworthy Data Science and Security
Postdoc position in Responsible AI (f/m/d, No. 221-25)
EG 14 TV-L
As part of the Research Alliance Ruhr, the Research Centre for Trustworthy Data Science and Security unites the expertise of its member universities to bridge the gaps between Psychology & Social Sciences, Artificial Intelligence & Machine Learning, Data Science & Statistical Learning, Law, Cybersecurity & Privacy, and more.
The Compliant & Accountable Systems Group seeks a post-doctoral researcher to work on issues relating to responsible AI. Our group takes an interdisciplinary, socio-technical approach, exploring the technical, legal, policy, social, and user dimensions to help improve the governance of emerging technologies to help ensure they are appropriate, secure, safe, accountable, and aligned with the public good.
Start of employment
as soon as possible
Duration of employment
3 years
Working time
100 percent of a full time position, part time is possible
Your main tasks
We are looking for a post-doctoral researcher to investigate how AI and other emerging technologies can be more appropriately designed, deployed, used, governed, and challenged. This could involve analysing and measuring how systems operate in practice, conducting empirical research into their use and impact, or developing tools, technical mechanisms, and governance/regulatory strategies that support real-world and effective accountability, transparency, and oversight.
You will join a supportive interdisciplinary research environment and contribute to addressing real-world challenges in understanding and shaping how emerging technologies are approached, developed, used, and governed in ways aligned with the public good and responsive to individual and broader societal needs.
Responsibilities
- Lead a defined research direction aligned with the group's themes, working with a high degree of independence, initiative, and leadership.
- Conduct research using methods appropriate to the project and your background — including empirical, qualitative, quantitative, or systems-based approaches — and develop tools, prototypes, or other artefacts to explore and demonstrate key ideas.
- Publish and present research at top-tier venues and contribute to the academic community.
- Support the supervision, instruction, mentoring, and development of students/junior researchers.
- Collaborate with researchers across disciplines and institutions, contributing to a supportive and engaged research environment.
- Contribute to shaping new research agendas, funding proposals, and collaborative projects within and beyond the group.
- Drive broader impact activities, including engagement with policy, industry, or the public where appropriate.
Your profile
Research Areas and Directions
We welcome applicants with a wide range of interests and backgrounds that are relevant to responsible AI. Potential topics include (but are not limited to):
- Transparency, oversight, and contestability in AI systems
- Accountability in algorithmic supply chains and infrastructures
- Technical tools for logging, tracing, and system scrutiny
- Governance of general-purpose and open-source AI models
- Data rights, privacy, and control in AI-driven environments
- Participatory and human-centred methods for responsible technology
- Legal and policy frameworks for AI accountability and risk mitigation
The research will be shaped according to the selected candidate’s strengths and interests and may involve self-initiated directions aligned with the group’s broader themes.
Who We Are Looking For
We welcome applicants from a wide range of disciplines, including computer science (e.g. systems, AI/ML, HCI, security, privacy), law (e.g. data protection, technology regulation, liability, digital rights), and public policy, to name a few.
You should have:
- A PhD degree (completed, near-completion, or equivalent experience) in a relevant discipline
- A demonstrated interest in responsible technology and/or AI governance
- Excellent analytical, writing, and communication skills in English
- The ability to work independently and collaboratively in an interdisciplinary setting
Whether your strengths lie in technical development, empirical investigation, legal analysis, socio-technical system design, or somewhere else, we encourage you to apply.
We offer you
Successful candidates will join the Compliant & Accountable Systems Group, which is part of the broader RC-Trust: Research Centre for Trustworthy Data Science and Security. RC-Trust is a multi-university collaboration focusing on developing trustworthy intelligent systems through a human-centred, interdisciplinary approach. Work will also involve collaboration with the University of Cambridge.
Candidates will have access to:
- A highly interdisciplinary and collaborative research environment.
- Opportunities to engage with external stakeholders and contribute to policy discussions.
- Travel opportunities for conferences, workshops, and research collaborations.
- A network of researchers and industry partners working on AI trust and governance.
This position is embedded in a creative, dynamic, and internationally renowned research environment. Your research will play a crucial role in developing our new Research Centre and promoting trustworthy technology to the general public. Our extensive international network of researchers and industry partners ensures a seamless transition into your next career step, whether in academia or international research institutions.
We prioritize a balanced and family-friendly work-life relationship, offering options for flexible working hours and part-time remote home-office arrangements.
Application deadline
2025-07-03
Code number
221-25
Application
Applicants must submit the following documents (in separate PDF files):
- A CV detailing academic qualifications, relevant experience, and publications (if applicable).
- A one-page cover letter (seperate attachement) outlining their motivation for applying and how their background aligns with the position.
- A one-page research statement outlining their research interests within the themes of the position.
Incomplete applications will not be reviewed. The appointment will be made based on academic merit, experience, and overall alignment with the group’s research goals. As such, fit to the group’s needs and culture, and the potential to contribute meaningfully to ongoing or emerging research directions will be important factors in the final selection.
Please send your application in an email stating the reference number (221-25) until 03.07.2025 to recruit-compacctsys@rc-trust.ai (please do not cc other email addresses)
Information about the job
For informal inquiries about research specifics, please contact Prof. Jat Singh at jat@rc-trust.ai, (please do not send/cc applications here) For questions about the application process, please contact recruit-compacctsys@rc-trust.ai (please do not cc other email addresses)
Research Alliance Ruhr
As the densest university landscape in Europe, the Metropole Ruhr offers attractive career opportunities for excellent scientists from all over the world.
In order to bundle their top international research on the major challenges facing humanity, the Ruhr-Universität Bochum, the TU Dortmund University and the University of Duisburg-Essen founded the Research Alliance Ruhr in 2021. Four research centres and a college have been established here.
This is the latest development in the long-standing cooperation as the University Alliance Ruhr (UA Ruhr), a community of 14,000 researchers and 120,000 students.
Learn more
In accordance with the State Equal Opportunities Act, women with the same qualifications are given referential considered.
Applications from suitable disabled persons and persons of equal status within the meaning of § 2 para. 3 SGB IX are desired.
By applying for one of the advertised positions, you expressly agree to the requirements in accordance with the General Data Protection Regulation and to being contacted by mail. Further information on data protection can be found here.
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