PhD Position - Artificial Intelligence: Power Asymmetries and Data Justice

at  Universiteit van Amsterdam

Amsterdam, Noord-Holland, Netherlands -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate26 Aug, 2024ANG 2 Annual27 May, 2024N/APhilosophy,Media Studies,Political Science,Technology,Academic ResearchNoNo
Add to Wishlist Apply All Jobs
Required Visa Status:
CitizenGC
US CitizenStudent Visa
H1BCPT
OPTH4 Spouse of H1B
GC Green Card
Employment Type:
Full TimePart Time
PermanentIndependent - 1099
Contract – W2C2H Independent
C2H W2Contract – Corp 2 Corp
Contract to Hire – Corp 2 Corp

Description:

PhD Position - Artificial Intelligence: Power Asymmetries and Data Justice
Faculteit/Dienst: Faculteit der Geesteswetenschappen
Opleidingsniveau: Master
Functie type: Wetenschappelijk Personeel
Sluitingsdatum: 8 september 2024
Vacaturenummer: 13035
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).
ASCA is a research community devoted to the comparative and interdisciplinary study of culture (in all its forms and expressions) from a broad humanities perspective. ASCA is home to more than 120 scholars and 160 PhD candidates and is a world-leading international research school in Cultural Analysis. ASCA members share a commitment to working in an interdisciplinary framework and to maintaining a close connection with contemporary cultural and political debates.

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 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.

Critical technical literacy and societal engagement will be considered of added value.
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.

ABOUT US

The University of Amsterdam is the largest university in the Netherlands, with the broadest spectrum of degree programmes. It is an intellectual hub with 42,000 students, 6,000 employees and 3,000 doctoral students who are all committed to a culture of inquiring minds.
The Faculty of Humanities provides education and conducts research with a strong international profile in a large number of disciplines in de field of language and culture. Located in the heart of Amsterdam, the faculty maintains close ties with many cultural institutes in the capital city. Research and teaching staff focus on interdisciplinary collaboration and are active in several teaching programmes.

Responsibilities:

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.

TASKS AND RESPONSIBILITIES:

  • submission of a PhD thesis within the period of appointment;
  • participating in meetings of the project research group;
  • publishing of single-authored and/or co-authored outputs derived from your doctoral research, including peer-reviewed academic articles;
  • presenting intermediate research results at workshops and conferences;
  • organising knowledge dissemination activities within the research group and the research school;
  • (co-)teaching courses at BA-level in the second and third year of the appointment (maximum 0,2 fte per year);
  • Participating in the Research School and Faculty of Humanities PhD training programmes.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Education Management

Teaching / Education

Education, Teaching

Phd

Proficient

1

Amsterdam, Netherlands