PhD Positions – Machine Learning: The Institute for Human-Centered AI at the Helmholtz Center in Munich is recruiting two passionate and motivated PhD researchers for projects at the intersection of computational cognitive science and machine learning. The positions offer a unique opportunity to contribute to cutting-edge research in foundation models for cognitive sciences and cognitively-inspired machine learning.
PhD Research Positions – Computational Cognitive Science and Machine Learning
Designation: PhD Researcher
Research Area:
- Foundation Model for Cognitive Sciences
- Cognitively-Inspired Machine Learning
Location: Helmholtz Center, Munich, Germany
Eligibility/Qualification:
- Master’s degree in Cognitive Science, Machine Learning, Computer Science, Neuroscience, Psychology, or a related computational field.
- Strong programming skills; familiarity or willingness to learn PyTorch, TensorFlow, JavaScript, or R.
- Research experience in empirical research, with or without prior publications.
- Independence, creativity, and a commitment to diversity in science.
Job Description:
- Project 1: Building and refining a model predicting cognitive task performance based on neural networks trained on cognitive experiments. Expansion into computational psychiatry and developmental psychology domains.
- Project 2: Utilizing insights from cognitive science to enhance machine learning models, incorporating priors for simplicity or training in human-like environments.
How to Apply: Interested candidates should email a cover letter, CV, unofficial transcripts, a brief description of research interests, and contact details of 2 referees to eric.schulz@helmholtz-munich.de by March 22nd, 2024.
Last Date for Apply: March 22nd, 2024
Why Join Us?
- Personalized Mentorship: Guaranteed weekly one-on-one sessions with supervisors and collaboration with a diverse group of researchers.
- Global Collaboration: Co-supervision by researchers from renowned institutions like Harvard, MIT, UCL, or DeepMind.
- Competitive Remuneration: A competitive remuneration package (E13-75%) compared to international standards.
- International Environment: Munich, a multicultural city; German language knowledge not required.
- Inclusive Decision Making: Commitment to diversity and inclusion; joint decision-making within the lab.
- Beyond Research: Engage in enriching experiences from attending summer schools to supervising students.
- Having Fun: A supportive and fun environment with lab retreats, games, hikes, and celebrations.
- Proven Success: Join a lineage of excellence with alumni receiving offers for postdocs at prestigious universities in Europe and the US.
