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PhD Position on Generative AI in Cultural and Creative Domains
Skicka ansökan 66 dagar kvar
Doktorand
66 dagar kvar

Arbetsbeskrivning

This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering (CSE), Chalmers University of Technology. The department of Computer Science and Engineering is strongly international, with approximately 300 employees from over 50 countries. The department is a fully integrated department with the University of Gothenburg and Chalmers University of Technology as principals.  About us  Our division, Data Science and AI (DSAI) at CSE conducts research in cooperation with partners in academia, industry, public, and cultural sectors; and has many research synergies coming together on the main thread of machine learning and Artificial Intelligence (AI). The successful candidate will join the newly established research group AI in Computational Arts, Music, and Games within the DSAI division. About the research project   This position is related to investigating learned cultural representations in data search spaces of generative AI models for culture and creative domains. These domains may include sound, music, visual art, 3D graphics, movement, or multimodal combinations thereof.  The research will employ a mixed-methods approach: the search spaces of AI models will be analyzed in their facts using quantitative methods from data science and AI, results of which then be investigated using qualitative methods and theory of critical studies. This interdisciplinary project bridges data science and AI, computational arts and music, social sciences and humanities. The doctoral student will be joining the WASP-HS Cluster AI Futures of Culture and Memory. This research cluster is a collaboration of Uppsala University, Chalmers University, KTH Royal Institute of Technology, Linnaeus University, and Umeå University. The cluster is dedicated to exploring how artificial intelligence is transforming human culture and collective memory. The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS) is a national research program in Sweden. The vision of WASP-HS is to foster novel interdisciplinary knowledge in the humanities and social sciences about AI and autonomous systems and their impact on human and social development. WASP-HS enables cutting edge research, expertise, and competence building in the humanities and social sciences. The PhD student will join the WASP-HS graduate school which provides foundations, perspectives, and state-of-the-art knowledge in the different disciplines taught by leading researchers in the field. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD students, researchers and practitioners in the field. It thus provides added value on top of the existing PhD programs at the partner universities, providing unique opportunities for students who are dedicated to achieving international research excellence with societal relevance. Who we are looking for:  • To qualify as a PhD student, you must have a Master's degree (masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Machine Learning, AI, Data Science, Computer Science and Engineering, Computational Social Science, Computational Humanities or Digital Humanities, or another relevant field.*  • You will need strong written and verbal communication skills in English  We value a collaborative attitude and an interest in working both in teams and independently. Self-motivation, persistence, and numerical analytic ability are important personal qualities for this position. *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted.    The following experience will strengthen your application:  • Machine Learning, AI, or data science-relevant research and development • Generative AI models for sound, music, visuals, 3D graphics, or movement  • Projects related to Generative AI  • Background in mathematics and statistics of Deep Learning What you will do:  • Take courses at an advanced level within the Graduate school of Computer Science and Engineering  • Develop your own scientific concepts and communicate the results of your research verbally and in writing  • The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours  Contract terms and what we offer:  • The PhD positions are fully funded from start.  • As a PhD student at Chalmers, you are an employee and enjoy all employee benefits. Read more about working at Chalmers and our benefits for employees.  • The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years.  • Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date, otherwise the admission may be withdrawn.  • A dynamic and inspiring working environment in the coastal city of Gothenburg.  • A starting salary of 34,550 SEK per month (valid from May 25, 2025).  • Read more about Sweden’s generous parental leave, subsidized day care, free schools, healthcare etc at Move To Gothenburg.   Application procedure  To read more and apply, please click here to go to Chalmers vacancy page.  Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.  We welcome your application no later than August 31, 2025 For questions, please contact:   Kivanc Tatar Assistant Professor Email: [email protected] We look forward to your application!  * Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *

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Publicerad 2025-06-26
Lön Fast månads- vecko- eller timlön
Antal platser 1
Varaktighet 6 Månader eller längre

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