Master thesis: Understanding human metacognitive learning 1080 views

The Max Planck Institute for Intelligent Systems – Rationality Enhancement Group is inviting applications for a Master thesis (m/f/d) on understanding human metacognitive learning. This position can be started as soon as possible.

Tasks:
  • Design, program and conduct online experiments using HTML / Javascript and manage deployment as an Web Application
  • Perform scientific data analysis on the collected data (Python or R) to test the hypothesis that metacognitive learning involves reinforcement learning mechanisms
  • Do literature research
  • Write up methods and findings for publication in scientific articles
  • Communicate findings

Requirements:

  • Strong HTML / JavaScript skills
  • Intermediate data analytics (Python or R) skills
  • Strong academic background in the field of cognitive science and machine learning with solid knowledge in reinforcement learning
  • Enrolled at a university
  • Fluent in English

How to apply:

Apply by sending email as a single page PDF containing application documents to re-jobs@tuebingen.mpg.de. The PDF should include four documents:

  • CV
  • A cover letter explaining motivation and highlighting most relevant skills and experiences
  • Transcripts of relevant degrees (unofficial documents are fine)
  • The names and email addresses of two people whom candidate has previously worked for and who can assess his/her abilities and working style.
—————–Quick Overview————-
OrganizationMax Planck Institute for Intelligent Systems
CountryGermany
Fellowship LevelMaster’s
Subject areasCognitive Science and Machine Learning
Fellowship amountVaries
EligibilityEnrolled in university
Deadline5th September 2021
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