PhD Opportunity: Enhancing Human Decision-Making with Machine Learning at Max Planck

Date:

Overview

The Max Planck Research Group for Rationality Enhancement is seeking a PhD student to work on a project aimed at utilizing machine learning and artificial intelligence to enhance human decision-making capabilities. This initiative is significant as it addresses the challenges individuals face in making effective decisions, an essential skill in various aspects of life.

Background & Relevance

Human decision-making is a complex process that can be improved through advanced methodologies in machine learning. By leveraging state-of-the-art techniques, this project aims to develop intelligent systems that can identify and teach optimal decision strategies. This research is crucial as it not only contributes to the field of AI but also has practical implications for improving everyday decision-making processes.

Key Details

  • Position: PhD Student (m/f/d)
  • Location: Max Planck Institute for Intelligent Systems, Tübingen, Germany
  • Funding: Equivalent to pay group E13, 65% of the Collective Wage Agreement for the Public Service
  • Start Date: Negotiable, with a preference for immediate commencement
  • Research Group: Rationality Enhancement
  • Website: Max Planck Institute

Eligibility & Participation

Candidates should possess a Master’s degree in computer science or a related field, such as AI, machine learning, computational linguistics, statistics, or cognitive science. Strong programming skills and a solid foundation in machine learning are essential. While experience in reinforcement learning, deep learning, or behavioral experiments is advantageous, it is not mandatory.

Submission or Application Guidelines

Interested applicants should submit the following materials via email to re-jobs@tuebingen.mpg.de:
– Cover letter
– Curriculum Vitae (CV)
– Academic transcripts
– Theses and/or publications
Additionally, candidates must arrange for at least two letters of reference to be sent to the same email address. For inquiries about the project or the research group, Dr. Falk Lieder can be contacted at falk.lieder@tuebingen.mpg.de.

Additional Context / Real-World Relevance

This PhD position is part of a broader initiative within the Cyber Valley network, which is known for its cutting-edge research in AI and machine learning. The Max Planck Institute provides an excellent environment for interdisciplinary collaboration, access to extensive resources, and opportunities for professional development through various academic activities. The research conducted here holds the potential to significantly impact how individuals make decisions in personal and professional contexts.

Conclusion

This is an excellent opportunity for aspiring researchers to contribute to meaningful advancements in the field of decision-making through machine learning. Interested candidates are encouraged to apply and become part of a vibrant research community at the Max Planck Institute for Intelligent Systems.


Category: PhD & Postdoc Positions
Tags: machine learning, artificial intelligence, decision making, reinforcement learning, deep learning, cognitive science, Max Planck Institute, Tübingen, program induction, behavioral experiments

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