Postdoctoral Researcher for Hybrid Human-AI Regulation at Radboud University

The Faculty of Social Sciences, Radboud University is looking for a postdoctoral researcher with a background in Artificial Intelligence to work on the ERC-funded HHAIR project (Hybrid Human-AI Regulation).

Hybrid systems that combine artificial and human intelligence hold great promise for training human skills. In this project, the faculty will develop a Hybrid Human-AI Regulation (HHAIR) to support young learners’ Self-Regulated Learning (SRL) skills within Adaptive Learning Technologies (ALTs). HHAIR targets young learners (10-14 years) for whom SRL skills are critical in today’s society. Many of these learners use ALTs, such as Gynzy, to learn mathematics and languages every day in school.

ALTs optimize learning based on learners’ performance data but even the most sophisticated ALTs fail to support SRL. In fact, most ALTs take over (offload) control and monitoring from learners. HHAIR on the other hand aims to gradually transfer regulation of learning from AI-regulation to self-regulation. Learners will increasingly regulate their own learning progressing through different degrees of hybrid regulation. In this way, HHAIR supports optimized learning and transfer and development of SRL skills for lifelong learning. This project is ground-breaking in developing the first hybrid systems to train human SRL skills with AI.

Start date: May 1, 2021.
  • A maximum gross monthly salary of € 5,127 based on a 38-hour working week.
  • An 8% holiday allowance and an 8.3% end-of-year bonus.
  • Provision of dual Career and Family Care Services.
Job Requirements

Radboud is seeking a recent Ph.D. graduate in a relevant field, such as artificial intelligence or computer science. Applicant should have:

  • Profound knowledge of machine learning and probabilistic modeling in particular.
  • Knowledge of self-regulated learning in the context of technology-enhanced learning.
  • The ability to support field studies with young students and teachers.
  • The ability to collect and synchronize log data across platforms. The project uses log data to measure SRL.
  • Applicants should be able to collect and process these data types and ideally have experience with developing algorithms based on these data.
  • Ample experience with writing academic publications.
  • Experience with designing educational interventions and developing the software needed for the design of the degrees of hybrid regulation.
  • Good collaboration skills and an excellent command of the English language, both spoken and written, are needed to work on this interdisciplinary project.
  • Dutch language skills are an advantage for collaboration with the schools involved, but not strictly required.
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Application Process

Applications should include the following attachments:

  • Letter of motivation.
  • CV.
  • Recommendation letter.
  • A recent publication.

To apply, click here.

Application Deadline: March 19, 2021.

For more information, visit the official site.

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