The European Research Council-funded Advanced Grant 'Deep Culture - Living with Difference in the Age of Deep Learning' invites applications for a PhD position to research the intersections between deep learning and cultured. Collaborating with two other PhD students,two PostDocs and a team of other PhD students, the aim is to realise an ambitious interdisciplinary research agenda conceptualizing, analysing and transforming the relations between deep learning and culture. The project involves experts from the Institute for Logic, Language, and Computation (ILLC), the Amsterdam School for Cultural Analysis (ASCA), and the Amsterdam School for Heritage, Memory, and Material Culture (AHM). Your research will be part of the AI in Culture and Society group of the ILLC and the Critical Data and AI group at Media Studies. We are looking for a talented, ambitious PhD candidate who can combine independent research with team collaboration. You will have the opportunity to explore exciting questions of digital culture, archival collections, and deep learning. You willcontribute to shaping debates about our relations with AI technologies.
The European Research Council-funded Advanced Grant 'Deep Culture - Living with Difference in the Age of Deep Learning' invites applications for a PhD position to research the intersections between deep learning and cultured. Collaborating with two other PhD students,two PostDocs and a team of other PhD students, the aim is to realise an ambitious interdisciplinary research agenda conceptualizing, analysing and transforming the relations between deep learning and culture. The project involves experts from the Institute for Logic, Language, and Computation (ILLC), the Amsterdam School for Cultural Analysis (ASCA), and the Amsterdam School for Heritage, Memory, and Material Culture (AHM). Your research will be part of the AI in Culture and Society group of the ILLC and the Critical Data and AI group at Media Studies. We are looking for a talented, ambitious PhD candidate who can combine independent research with team collaboration. You will have the opportunity to explore exciting questions of digital culture, archival collections, and deep learning. You willcontribute to shaping debates about our relations with AI technologies.
The PhD student will be part of a 5-year European Research Council Advanced grant: 'Deep Culture - Living with Difference in the Age of Deep Learning'. They will also collaborate with other PhD students working on AI methodologies for cultural-historical research. The 'Deep Culture' project investigates the relations between deep learning and global cultural production and consumption. Deep-learning technologies like ChatGPT have generated a lot of excitement about our new relations with AI but have also provoked much public anxiety. The effects on cultural production, creativity as well as the use of cultural archives to feed models have been key concerns. The project coins 'deep culture' to describe the global transformations that deep learning has brought on culture, and how culture is, in turn, key to deep learning.
This PhD will focus on questions of historical archives and deep learning. We are interested in specific historical archives that like the Holocaust archives are controversial for their relationships to deep learning models. There are many historical archives that bring together very large data, both textual and multimedia, but their online publication and integration in further processing has often led to widely publicized controversies as in the example of the Dutch online archives of Nazi collaborators. The ingestion of archives like historical medical archives have led to gendered and racialized health recommendations by language models, while Holocaust archives have been targeted by online misrepresentations and Holocaust denial in language and image models. Deep-learning models must first pass the 'Nazi test' and have safeguards against Holocaust denial, producing curated answers for anything its creators see as ethically complicated.
We envisage that the applicant will have a range of diverse skills that complement each other. While firmly grounded in knowledge in AI, digital methods and digital humanities he/she should also be open to qualitative methods and historical-cultural analysis. We expect that you are willing to critically engage with interdisciplinary approaches and methodologies, learn from each other in the team and add new skills and practices to your existing interests. The project wants to avoid hierarchies and specialisations as far as possible.
You are expected:
We offer a temporary employment contract for the period of 48 months. The first contract will be for 16 months, with an extension for the following 32 months, dependent on a positive performance evaluation within the first 12 months. The employment contract is for 38 hours a week. The preferred starting date is as soon as possible but ideally no later than 1 May 2025. The gross monthly salary, based on 38 hours per week and relevant experience, ranges from € 2,901 up to a maximum of € 3,707. This sum does not include the 8% holiday allowance and the 8,3% year-end allowance. A favourable tax agreement, the '30% ruling', may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities is applicable. Apart from your salary and employee status (no tuition fees) and an inspiring research environment, we offer you many fringe benefits:
The PhD student will be part of a 5-year European Research Council Advanced grant: 'Deep Culture - Living with Difference in the Age of Deep Learning'. They will also collaborate with other PhD students working on AI methodologies for cultural-historical research. The 'Deep Culture' project investigates the relations between deep learning and global cultural production and consumption. Deep-learning technologies like ChatGPT have generated a lot of excitement about our new relations with AI but have also provoked much public anxiety. The effects on cultural production, creativity as well as the use of cultural archives to feed models have been key concerns. The project coins 'deep culture' to describe the global transformations that deep learning has brought on culture, and how culture is, in turn, key to deep learning.
This PhD will focus on questions of historical archives and deep learning. We are interested in specific historical archives that like the Holocaust archives are controversial for their relationships to deep learning models. There are many historical archives that bring together very large data, both textual and multimedia, but their online publication and integration in further processing has often led to widely publicized controversies as in the example of the Dutch online archives of Nazi collaborators. The ingestion of archives like historical medical archives have led to gendered and racialized health recommendations by language models, while Holocaust archives have been targeted by online misrepresentations and Holocaust denial in language and image models. Deep-learning models must first pass the 'Nazi test' and have safeguards against Holocaust denial, producing curated answers for anything its creators see as ethically complicated.
We envisage that the applicant will have a range of diverse skills that complement each other. While firmly grounded in knowledge in AI, digital methods and digital humanities he/she should also be open to qualitative methods and historical-cultural analysis. We expect that you are willing to critically engage with interdisciplinary approaches and methodologies, learn from each other in the team and add new skills and practices to your existing interests. The project wants to avoid hierarchies and specialisations as far as possible.
You are expected:
We offer a temporary employment contract for the period of 48 months. The first contract will be for 16 months, with an extension for the following 32 months, dependent on a positive performance evaluation within the first 12 months. The employment contract is for 38 hours a week. The preferred starting date is as soon as possible but ideally no later than 1 May 2025. The gross monthly salary, based on 38 hours per week and relevant experience, ranges from € 2,901 up to a maximum of € 3,707. This sum does not include the 8% holiday allowance and the 8,3% year-end allowance. A favourable tax agreement, the '30% ruling', may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities is applicable. Apart from your salary and employee status (no tuition fees) and an inspiring research environment, we offer you many fringe benefits:
The University of Amsterdam is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 42,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity. The Faculty of Humanities provides education and conducts research with a strong international profile in a large number of disciplines in the 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.
The Institute for Logic, Language and Computation (ILLC) is a research institute at the UvA in which researchers from the Faculty of Science and the Faculty of Humanities collaborate. Its central research area is the study of fundamental principles of encoding, transmission, and comprehension of information. Research at ILLC is interdisciplinary and aims at bringing together insights from various disciplines concerned with information and
information processing, such as logic, mathematics, computer science, linguistics, natural language processing, cognitive science, artificial intelligence, music cognition, and philosophy.
Located at the Faculty of Humanities of the University of Amsterdam, the Amsterdam School for Cultural Analysis (ASCA) is a research community devoted to the comparative and interdisciplinary study of culture (in all its forms and expressions) from a broad perspective. Specialists in their own respective fields, ASCA members share a commitment to working within an interdisciplinary framework and to maintaining a close connection with
contemporary cultural and political debates. Within ASCA, they collaborate to provide an innovative and stimulating research environment for scholars, professionals, and graduate students from the Netherlands and abroad.
The Amsterdam School for Heritage, Memory and Material Culture (AHM) is a research institute and doctoral school at the UvA's Faculty of Humanities, committed to the analysis of the remnants and narratives of the past in the present, as well as of the remaking of pasts into heritage, memory and material culture. Research at AHM seeks to integrate all branches of research focusing on the material and intangible remains of the
past, the reciprocal relations between objects and meanings, and the dynamics of memory, from diverse theoretical and methodological perspectives, concept-oriented, object-oriented, and user-oriented approaches.
The University of Amsterdam is the Netherlands' largest university, offering the widest range of academic programmes. At the UvA, 42,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity. The Faculty of Humanities provides education and conducts research with a strong international profile in a large number of disciplines in the 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.
The Institute for Logic, Language and Computation (ILLC) is a research institute at the UvA in which researchers from the Faculty of Science and the Faculty of Humanities collaborate. Its central research area is the study of fundamental principles of encoding, transmission, and comprehension of information. Research at ILLC is interdisciplinary and aims at bringing together insights from various disciplines concerned with information and
information processing, such as logic, mathematics, computer science, linguistics, natural language processing, cognitive science, artificial intelligence, music cognition, and philosophy.
Located at the Faculty of Humanities of the University of Amsterdam, the Amsterdam School for Cultural Analysis (ASCA) is a research community devoted to the comparative and interdisciplinary study of culture (in all its forms and expressions) from a broad perspective. Specialists in their own respective fields, ASCA members share a commitment to working within an interdisciplinary framework and to maintaining a close connection with
contemporary cultural and political debates. Within ASCA, they collaborate to provide an innovative and stimulating research environment for scholars, professionals, and graduate students from the Netherlands and abroad.
The Amsterdam School for Heritage, Memory and Material Culture (AHM) is a research institute and doctoral school at the UvA's Faculty of Humanities, committed to the analysis of the remnants and narratives of the past in the present, as well as of the remaking of pasts into heritage, memory and material culture. Research at AHM seeks to integrate all branches of research focusing on the material and intangible remains of the
past, the reciprocal relations between objects and meanings, and the dynamics of memory, from diverse theoretical and methodological perspectives, concept-oriented, object-oriented, and user-oriented approaches.
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 red button. The deadline for applying for this vacancy is 19 February 2025. Applications should include the following information (submitted in one .pdf by uploading in the required field 'CV'):
Only complete applications received within the response period via the link below will be considered.
Do you have any questions, or do you require additional information? Please contact: Prof.dr. Tobias Blanke ([email protected])
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 red button. The deadline for applying for this vacancy is 19 February 2025. Applications should include the following information (submitted in one .pdf by uploading in the required field 'CV'):
Only complete applications received within the response period via the link below will be considered.
Do you have any questions, or do you require additional information? Please contact: Prof.dr. Tobias Blanke ([email protected])
We, and third parties, use cookies on our website. We use cookies to ensure that our website functions properly, to store your preferences, to gain insight into visitor behavior, but also for marketing and social media purposes (showing personalized advertisements). By clicking 'Accept', you agree to the use of all cookies. In our Cookie Statement. you can read more about the cookies we use and save or change your preferences. By clicking 'Refuse' you only agree to the use of functional cookies.