Fully-funded, 5-year PhD position in AI-Enabled Teamwork - https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-in-ai-enabled-teamwork-08-10-fte
For more information, please contact Dr. Ioanna Lykourentzou at: i.lykourentzou@uu.nl
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JOB DESCRIPTION
Effective team building is the backbone of most successful projects. Yet, forming effective teams is far from trivial. The latest advances in AI are further expanding our understanding of what constitutes an ideal team and how to support it, for example with emerging types of teams comprising not only humans but also humans and AI.
This PhD project will investigate how AI can facilitate, optimize, and scale the collaboration of human-human and human-AI teams, with focus on teams working on creative and complex tasks. Scientific questions that will be addressed include among others:
- (How) can we design algorithms and systems that help decision-makers build better teams while ensuring the agency and well-being of all team members?
- How can AI support teams during their development process, for example helping them to build common ground, mitigate non-constructive frictions, and think outside the box?
- What is the role that AI can play in augmenting human collaborative capabilities?
- How can we adapt the support that AI can provide teams with to the application setting (e.g. business versus education)?
To tackle these research questions, you will use a variety of AI and HCI methods, such as optimization and agent-based simulations, as well as controlled experiments with human-human and human-AI teams. You will collaborate with colleagues within the university as well as external research partners and have the unique opportunity to explore the application of your research in a variety of settings, including business, education, and crowdsourcing.
This is a PhD position for 5 years, which includes research as well as teaching. You will spend approximately 30% of your time on varying teaching support activities.
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QUALIFICATIONS
You have a passion for scientific research and aim to understand human-AI collaboration from both a theoretical perspective and an applied perspective. Next to that we would like you to bring:
- a (nearly) completed MSc degree in a relevant area such as Artificial Intelligence, Computing Science, Computer Engineering, or Information Sciences;
- demonstrable experience with computing science and/or engineering methods, such as optimization or agent-based simulations, and comfort with rapid prototype development;
- a good understanding of HCI methods, including experimental design, conducting controlled experiments with human subjects, and statistical analyses of empirical data;
- strong written and oral communication skills in English.
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OFFER
We offer a position for 5 years, which includes the following:
- a full-time gross salary that starts at €2,541 and increases to €3,247 per month (scale P of the Collective Labour Agreement Dutch Universities (cao));
- 8% holiday bonus and 8.3% end-of-year bonus;
- a pension scheme, partially paid parental leave, and flexible employment conditions based on the Collective Labour Agreement Dutch Universities.
In addition to the employment conditions from the CAO for Dutch Universities, Utrecht University has a number of its own arrangements. These include agreements on professional development, leave arrangements and sports. We also give you the opportunity to expand your terms of employment through the Employment Conditions Selection Model. This is how we encourage you to grow.
For more information, please visit working at the Faculty of Science: https://www.uu.nl/en/organisation/working-at-the-faculty-of-science
Are you an international applicant? Our International Service Desk can answer your questions about living in the Netherlands as international staff.
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ABOUT THE ORGANIZATION
A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At Utrecht University (https://www.uu.nl/en), the various disciplines collaborate intensively towards major strategic themes. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow.
At the Faculty of Science, there are 6 departments to make a fundamental connection with: Biology, Chemistry, Information and Computing Sciences, Mathematics, Pharmaceutical Sciences, and Physics. Each of these is made up of distinct institutes that work together to focus on answering some of humanity's most pressing problems. More fundamental still are the individual research groups – the building blocks of our ambitious scientific projects.
You will work at Utrecht University's Department of Information and Computing Sciences under the supervision of Dr. Ioanna Lykourentzou (mailto:i.lykourentzou@uu.nl). More information about Dr. Lykourentzou's research can be found on her website (https://lykourentzou.com) and the Collaborative Technologies Lab (https://ai4teams.com). You will be further embedded in the Software Technologies for Learning and Teaching (ST4TL) group of Prof. Johan Jeuring, and the associated AI in Education lab. You will benefit from collaborations with an interdisciplinary research partner network, with backgrounds in HCI, Computing Sciences, Social Sciences and the Humanities.
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ADDITIONAL INFORMATION
If you have any questions, please contact Dr. Ioanna Lykourentzou at: i.lykourentzou@uu.nl.
Do you have a question about the application procedure? Please send an email to: science.recruitment@uu.nl.
Interviews for the position will take place in mid-August.
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APPLY
Everyone deserves to feel at home at our university. We welcome employees with a wide variety of backgrounds and perspectives.
If you are enthusiastic about this position, apply via the link below:
https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-in-ai-enabled-teamwork-08-10-fte
Please enclose the following documents in English:
- your letter of motivation;
- your curriculum vitae;
- the names, telephone numbers, and email addresses of at least two references;
- a copy of your MSc thesis (if available).
If you are within a few months from the completion of your MSc degree, we also welcome you to apply! In that case, please enclose a letter from your MSc thesis supervisor indicating when you are likely to graduate.
If this specific opportunity isn't for you, but you know someone else who may be interested, please forward this vacancy to them.
The application deadline is 31 July 2023.
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