Dear Colleagues, We are recruiting a PhD for a joint project of Erik Borra, Bernhard Rieder and me at the Media Studies department, University of Amsterdam. More details below, but the TL;DR is: The deadline for submission is *March 23rd*, the position will start in October, and one applies with a research proposal of 800-1000 words (excluding references) that describes your topic and the main conceptual lens that would inform your project. More information and submission here: https://werkenbij.uva.nl/en/vacancies/phd-on-interfaces-of-intelligence-how-... _PhD Position: How AI is Reshaping Knowledge Production_ Models (LLMs) and other generative AI systems integrate into everyday practices. Society is transitioning from an information retrieval paradigm, where search engines provide specific sources relevant to specific queries, to an interrogation and interpretation paradigm, in which knowledge is embedded within AI models through extensive, often opaque training processes and configurations. AI is also increasingly integrated into agentic systems - designed for specific contexts, goals, and degrees of autonomy - reconfiguring how knowledge is produced, validated, and operationalized across domains such as journalism, research, and education. This shift raises critical questions about authority, transparency, and the evolving role of human expertise in AI-mediated workflows. To critically assess and learn from such shifts, our project takes a two-pronged approach: first, we examine how research methods are embedded within AI tools, adopting a digital methods perspective to explore their affordances and limitations. Second, we analyze how AI-driven software changes interfaces, influencing how users access and interact with knowledge. Both approaches aim to understand how knowledge is constructed, accessed, and made usable - both in digital research and everyday digital interactions. _This is what you will be doing_ As a PhD in the project, you will pursue your own research agenda that intersects with that of the PIs, and falls under one of the following broad categories: - Epistemic shifts in generative AI – How does GenAI reshape processes of knowledge validation, credibility, and facticity? How do these models affect established knowledge gatekeepers institutions? How do different modes and modalities of GenAI shape its contexts of use? - Workflow transformations in generative AI – How does GenAI reshape professional routines and decision-making in knowledge-intensive domains? How do AI-driven agentic systems, designed with specific contexts, capabilities, and goals, redefine collaboration and expertise? How do they integrate into and redefine existing software interfaces? Your tasks and responsibilities: - submission of a PhD thesis within the period of appointment; - participating in meetings of the project research group and developing a shared database; - publishing one single-authored, peer reviewed article; - presenting intermediate research results at workshops and conferences; - organising knowledge dissemination activities; - participation in the Research School and Faculty of Humanities PhD training programmes. - (co-)teaching courses at BA-level in the second and third year of the appointment (maximum 0,2 fte per year). _This is what we ask of you_ Candidates need to have the following qualifications: - a completed Master's degree in media and communication studies, critical artificial intelligence, science and technology studies. You may apply if you have not yet completed your Master's degree only if you provide a signed letter from your supervisor stating that you will graduate before 1 September 2025; - excellent research skills demonstrated by an outstanding Master's thesis and a demonstrable capacity to develop a track record of publishing in high-ranking journals and/or with leading presses; - a strong cooperative attitude and willingness to engage in collaborative research; - enthusiasm for communicating academic research to non-academic audiences; - good command of English We are looking for a PhD candidate who can critically engage with generative AI while also exploring its practical applications. The ideal candidate is neither solely focused on critiquing AI from a distance nor unreflectively applying it without questioning its implications. Instead, we seek someone who combines critical analysis with hands-on exploration—someone who can interrogate the epistemic, social, and technical dimensions of AI while also experimenting with its affordances in digital research methods and interface studies. Please note that if you already hold a doctorate/PhD or are working towards obtaining a similar degree elsewhere, you will not be admitted to a doctoral programme at the UvA. The candidate should be comfortable working across disciplines, bridging media and communication studies, critical artificial intelligence, and science and technology studies. The candidate should have an analytical yet open-minded approach, willing to engage with both the strengths and limitations of AI in knowledge production, dissemination, and professional workflows. Strong expository writing skills are essential, both for effectively commanding large language models and for producing clear, rigorous academic output. Prior experience with digital methods, such as data scraping and visualization, as well as a working knowledge of foundation models (understanding of their training processes and/or prompting), is highly desirable. While not mandatory, basic proficiency in programming in Python for digital analysis would be a plus. _This is what we offer you_ - A salary of between €2.901 - €3.707 p.m; additional social benefits (more information available here: https://werkenbij.uva.nl/en/about-working-at-the-UvA); - PhD candidates receive a tuition fee waiver; - PhD candidates have free access to courses offered by the Graduate School of Humanities and the Dutch National Research Schools; - excellent possibilities for further professional development and education; - an inspiring academic and international work environment in the heart of Amsterdam; - an enthusiastic and professional academic team. Kind regards, Alex. Alex Gekker, PhD. Assistant Professor in Digital Research Methods, Media Studies, University of Amsterdam. Profile and publications <https://orcid.org/0000-0001-6042-2086> // a.gekker@uva.nl // tw: @AlexGekker <http://twitter.com/alexgekker> // mastodon @gekker@aoir.social <https://aoir.social/@gekker> Recent works include a deep dive into moving Israel “into the cloud” <https://www.tandfonline.com/doi/full/10.1080/1369118X.2024.2343816>, a breakdown of QAnon as participatory play <https://journals.sagepub.com/doi/10.1177/20563051231157300>, an analysis of “gamified” stock trading <https://intellectdiscover.com/content/journals/10.1386/jgvw_00062_1>, and a post-mortem of Google Maps’ Covid-19 Layer <https://journals.sagepub.com/doi/10.1177/20501579221143325>