Open-Topic PhD Position in Human Understanding of Algorithms and Machines at UA Ruhr

PhD Admission
POSTED ON
16/07/2026

Open-Topic PhD Position in Human Understanding of Algorithms and Machines at UA Ruhr

The Research Center Trustworthy Data Science and Security, UA Ruhr, is inviting applications for a three-year open-topic PhD position in Human Understanding of Algorithms and Machines (HUAM).

This opportunity is suitable for candidates interested in interdisciplinary research exploring how people understand, interpret, interact with and respond to algorithms, artificial intelligence and intelligent machines.

Position Overview

Position: Open-Topic PhD Position
Research Area: Human Understanding of Algorithms and Machines
Abbreviation: HUAM
Institution: Research Center Trustworthy Data Science and Security, UA Ruhr
Duration: 3 years
Reference Number: 319-26
Application Deadline: 3 September 2026

About the Research Area

The Human Understanding of Algorithms and Machines research area examines the relationship between humans and computational systems.

Potential research themes may include:

  • Human interaction with algorithms and AI systems

  • Trust, transparency and explainability

  • Algorithmic decision-making

  • Human-centred artificial intelligence

  • Social and behavioural responses to automated systems

  • Public understanding of machine intelligence

  • Ethical and societal implications of algorithms

  • Communication between humans and intelligent technologies

As an open-topic position, applicants may have flexibility to propose a research direction aligned with the broader HUAM research agenda and the centre’s interdisciplinary focus.

About the Research Center

The Research Center Trustworthy Data Science and Security is part of the University Alliance Ruhr and focuses on research related to trustworthy data science, artificial intelligence, cybersecurity and their societal implications.

The centre provides an interdisciplinary research environment that brings together expertise from computer science, social sciences, humanities and related fields.

Duration of the Position

The PhD position is offered for a period of:

3 years

Candidates should refer to the official vacancy announcement for details regarding the expected start date, employment conditions and doctoral supervision.

Who Should Apply

The opportunity may be relevant for candidates with an academic background in areas such as:

  • Computer science

  • Data science

  • Artificial intelligence

  • Human-computer interaction

  • Psychology

  • Sociology

  • Communication and media studies

  • Philosophy and ethics of technology

  • Political science

  • Cognitive science

  • Science and technology studies

  • Related interdisciplinary fields

Applicants should check the complete official notification for the confirmed degree requirements, research profile and selection criteria.

How to Apply

Interested candidates should submit their application by email to:

sekretariat.koebis@uni-due.de

Applicants should mention the following reference number in their application:

Ref. No. 319-26

Application Deadline

The last date to apply is:

3 September 2026

Candidates are advised to submit their complete application well before the deadline.

Documents That May Be Required

Applicants may be asked to submit:

  • Curriculum vitae

  • Motivation letter

  • Research proposal or statement of research interests

  • Academic certificates and transcripts

  • Master’s thesis or writing sample

  • Publication list, where applicable

  • Contact details of academic referees

  • Proof of relevant research or professional experience

  • Other documents specified in the official announcement

Important Note

Applicants should consult the complete official vacancy notice for confirmed information regarding eligibility, salary, employment terms, supervision, required documents and the selection process.

This PhD position offers an opportunity to pursue interdisciplinary research at the intersection of humans, algorithms and intelligent machines within a collaborative research environment at UA Ruhr.

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