Jona S. Carmon

Jona S. Carmon

Doctoral Candidate


Academic education

since 2023 Doctoral candidate, Max Planck School of Cognition, Leipzig, Germany
Lab rotations in the orientation phase: Ulman Lindenberger & Simone Kühn, Iyad Rahwan and Ralph Hertwig
2020–2023 Master of Science in Mind & Brain, Humboldt-Universität zu Berlin, Germany
2016–2017 Semester abroad, Computer Science, ETH Zurich, Switzerland
2016–2020 Bachelor of Science in Cognitive Science, Universiät Osnabrück, Germany


Research experience

2022–2023 Graduate Lab Intern, Social Intelligence Group (Prof. Dr. Marcel Brass), Berlin School of Mind & Brain, Humboldt-Universität zu Berlin, Germany
2021–2022 Research Assistant, Lise-Meitner-Gruppe Umweltneurowissenschaften (Prof. Dr. Simone Kühn), Max Planck Institute for Human Development, Berlin, Germany
2019–2021 Research Collaborator, Cognitive Neuropsychology of Body, Self and Plasticity (Prof. Dr. Bigna Leggenhager), Universität Zürich, Switzerland
2018–2020 Visiting Researcher, Computational Neurology, Neuroscience & Psychiatry Lab (Dr. Yujiang Wang), Newcastle University, UK
2018 Research Intern, Computational Neurology, Neuroscience & Psychiatry Lab (Dr. Yujiang Wang), Newcastle University, UK



2019–2020 Teaching Assistant, Statistics and Data Analysis (Prof. Dr. Michael Franke), Universität Osnabrück, Germany



2018 Scholarship for RISE Internship Program, German Academic Exchange Service (DAAD)
2016–2023 Scholarship for Bachelor and Master studies, German Academic Scholarship Foundation


Academic awards

2023 3rd Prize, Research to Market Challenge in SUSTAINABILITY x SOCIETY Cluster, Science & Startups, Freie Universität Berlin, Humboldt-Universität zu Berlin, Technische Universität Berlin and Charité – Universitätsmedizin Berlin, Germany
2020 ROSEN Technology & Research Price for an excellent bachelor thesis, Universität Osnabrück, Germany



Carmon, J., Bammel, M., Brugger, P., & Lenggenhager, B. (2021). Uncertainty promotes neuroreductionism: A behavioral online study on folk psychological causal inference from neuroimaging data. Psychopathology, 54(6), 298304.

Carmon, J., Heege, J., Necus, J. H., Owen, T. W., Pipa, G., Kaiser, M., Taylor, P. N., & Wang, Y. (2020). Reliability and comparability of human brain structural covariance networks. NeuroImage, 220, 117104.


Foto: Nikolaus Brade

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