Radboud PhD Candidate: Digital/AI Technologies and Professional Interaction 2023
| RadboudPhD2023 | |
|---|---|
| Type | Job |
| Categories (tags) | Uncategorized |
| Dates | - 2023/10/01 |
| Link | https://www.ru.nl/en/working-at/job-opportunities/phd-candidate-digitalai-technologies-and-professional-interaction |
| Address | Radboud University, Nijmegen, The Netherlands |
| Geolocation | 51° 49' 19", 5° 51' 50" |
| Abstract due | |
| Submission deadline | 2023/10/01 |
| Final version due | |
| Notification date | |
| Tweet | Radboud University is recruiting a PhD candidate for a project on AI/Technology & Professional Interaction PhD Candidate. Candidates may apply with their own research idea (1000 words) falling within the general scope of the position, deadline October 1st. |
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Radboud PhD Candidate: Digital/AI Technologies and Professional Interaction 2023:
Details:
Radboud University is recruiting a PhD candidate for a project on AI/Technology & Professional Interaction PhD Candidate. Candidates may apply with their own research idea (1000 words) falling within the general scope of the position, deadline October 1st.
- Employment 1.0 FTE
- Gross monthly salary € 2,541 - € 3,247
- Required background Research University Degree
- Organizational unit: Faculty of Arts
- Application deadline: 01 October 2023
How do AI/digital technologies affect interaction in professionals settings such as care, medicine and education? As a PhD candidate in the field of technology, language and social interaction, you will contribute to the research and value lines of the interdisciplinary hub for digitalisation and society (iHub) and to the research of the Centre for Language Studies (CLS).
There are currently many fears about digital technologies including robots and AI replacing humans at work or intervening in work practices. More realistically, recent research shows that automation is affecting certain tasks, rather than entire jobs. That is, humans will increasingly work with robots, AI and other technologies. This project moves beyond the 'grand' questions about AI and work and takes a novel 'micro'-approach to ask how robots/agents/digital technologies affect interaction and work qualitatively and in practice. A special interest will be how social categories (gender, race, class) are observably interrelated with the interaction between or around agents and technologies. The project takes an innovative approach to these questions by drawing on a combination of conversation analysis (and/or membership categorisation analysis) and ethnography of digitally mediated professional interactions. The project falls under 'Expertise and Meaningful Work', one of the four value lines of iHub. PhD supervision is interdisciplinary, including a philosopher and linguist (conversation analyst).
You are invited to develop your own research idea within the topic mentioned above; your application letter should include a preliminary sketch of this idea (max. 1,000 words), describing your focus within the proposed research line. The project is expected to include empirical work (data collection and micro-analysis) and a normative/ethical component, for instance reflecting on empirical findings. You will present the research outcomes at national and international conferences, and you will write at least three articles for international high-impact journals, to be included in your dissertation. You will develop yourself by taking courses at the Graduate School of the Humanities (Radboud University) and elsewhere to obtain relevant knowledge and skills, and you will actively participate in iHub activities. You will write a doctoral dissertation and publicly defend it to obtain your doctoral degree at the Faculty of Arts.
Profile
- You should have or shortly expect to obtain a Master's degree in linguistics, communication science, or another relevant discipline.
- You have an excellent command of written and spoken English.
- You have excellent academic writing skills.
- You have knowledge of and experience in ethnomethodology and/or conversation analysis. A Master's degree involving several months of experience and training on a scientific project will be a strong advantage.
- You have strong social skills.
- You are able to work in a team as well as independently.
- You have well-developed personal management skills.
- You have an affinity with interdisciplinary research.
- Knowledge of Dutch will be an advantage.
