Vacancy: PhD Position Artificial Intelligence: Power Asymmetries and Data Justice

Application deadline: September 8, 2024

More information: https://vacatures.uva.nl/UvA/job/PhD-Position-Artificial-Intelligence-Power-Asymmetries-and-Data-Justice/795572402/

Are you looking for a challenging position in a dynamic setting? The Amsterdam School for Cultural Analysis (ASCA) currently has a vacant PhD position as part of the Artificial Intelligence: Power Asymmetries and Data Justice project led by principal investigators Dr Lonneke van der Velden and Dr Claudio Celis Bueno. ASCA is one of the five Research Schools within the Amsterdam Institute for Humanities Research (AIHR).

Candidates can work on a research of their own choosing within the broader scope of the project (critical AI studies, AI and power asymmetries, and data justice). Candidates are encouraged to think creatively in terms of research design. We welcome projects that are original, conceptually rigorous, and critical. We invite interested candidates to prepare short proposals (details below) that could, for instance, examine:

  • The (invisible) labour behind artificial intelligence;
  • Bias and discrimination in AI applications;
  • AI and Epistemic Injustices;
  • AI and educational equity;
  • Environmental cost and extractivist logics of AI;
  • AI, automation, and the transformation of labour;
  • Feminist and/or decolonial approaches to AI.

What are you going to do?

Your research will be part of the Artificial Intelligence: Power Asymmetries and Data Justice project, which explores AI technologies from a critical perspective. You will be working under the supervision of Prof Dr Stefania Milan, Dr Lonneke van der Velden, and Dr Claudio Celis Bueno. Special focus on asymmetric power relations and/or data justice is encouraged. Once appointed for the position, your final PhD proposal will be developed in a productive dialogue with the ongoing research of Dr Lonneke van der Velden and Dr Claudio Celis Bueno.

What do you have to offer?

We are looking for candidates who are interested in the intersection between technology and politics, power relations and social justice, and capable of developing a critical, conceptually rigorous, interdisciplinary, and situated analysis of some form of AI application. The ideal candidate is able to formulate an original research question and contribute to ongoing debates around the social and political effects of AI.

Your experience and profile:

Candidates need to have the following qualifications:

  • a completed Master’s degree in Media Studies, Communication Science, Science and Technology Studies, Political Science, Philosophy of Technology, or related discipline. 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 31 December 2024;
  • excellent and independent research skills demonstrated by an outstanding Master’s thesis and a demonstrable capacity to develop an outstanding publication record;
  • a strong cooperative attitude and willingness to engage in collaborative research;
  • enthusiasm for communicating academic research to non-academic audiences;
  • excellent command of the English language.

Questions?

If you have any questions about the position or the department, please contact during office hours: For practical questions about the position and the application process, please contact Dr Eloe Kingma (asca-fgw@uva.nl). For questions regarding the research proposal, you may contact Dr Lonneke van der Velden (l.c.vandervelden@uva.nl) or Dr Claudio Celis Bueno (c.o.celisbueno@uva.nl).

Job application

If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the link below. We will accept applications until 08 September 2024.

Your application should include the following information:

  • a motivation letter and full academic CV;
  • a research proposal of 800-1000 words (excluding references) that describes your topic and the main conceptual lens that would inform your project;
  • a writing sample, for example, a chapter from your Master thesis or an article;
  • a list of all Master-level modules you have taken, with an official transcript of grades;
  • the names, phone numbers, and email addresses of two academic references, which includes preferably your supervisor, who may be approached by the selection committee.

Please submit the required information in 1 pdf by uploading in the required field ‘CV’.

The first round of interviews will be held in October 2024.