Reposted by Marcel BinzMariya Toneva @mtoneva.bsky.social · 24/09/2026🚨 Two open postdoc positions in the ERC-funded project BrainAlign at the Max Planck Institute in Saarbruecken, Germany: position #1 on NeuroAI: postdocprogram.mpg.de/node/58480 position #2 on human-centered LLM evaluations: postdocprogram.mpg.de/node/58481 Application deadline: Oct 13, 2026 11911
Marcel Binz @marcelbinz.bsky.social · 18/09/2026📢 The CORE COGNITION lab (core-cognition.github.io) is looking to hire another PhD student, working on automated scientific discovery and knowledge representation in cognitive science. Starting date: March to September 2027. 🙏 Please share widely!core-cognition.github.ioCORE COGNITIONCORE COGNITION works towards a unified theory of human cognition, instantiated in models that simulate, predict, and explain human behavior. 11715
Reposted by Marcel BinzAlireza Modirshanechi @modirshanechi.bsky.social · 15/08/2026Excited to share that I'll be starting as a junior professor and Emmy Noether awardee at the University of Göttingen this October! 🥳 🚀 I'll be hiring #phd students and #postdoc across #machinelearning, #neuroscience and #cogsci: modirlab.github.io/open-positio... Please spread the word! 🙏 1217059
Reposted by Marcel BinzMirko Thalmann @mirkothm.bsky.social · 29/06/2026New work with @marcelbinz.bsky.social & @ericschulz.bsky.social! We introduce a permutation-based ML approach that decomposes behavioral variability into distinct components, bridging prediction & explanation in a single framework, paving the way for better behavioral theories osf.io/preprints/ps...osf.ioOSF 041
Reposted by Marcel BinzAkshay K. Jagadish @akjagadish.bsky.social · 22/06/20261/ 🚨 New opinion piece: "Can we automatize scientific discovery in the cognitive sciences?" We lay out a vision for a fully automated, in-silico science of the mind, where modern AI systems run every stage of the scientific discovery cycle in cognitive science 🧵 #AutomatedDiscovery #AI4Science 1186
Marcel Binz @marcelbinz.bsky.social · 09/06/2026Excited to announce that I'll be starting my own lab in Tübingen this October! Hiring at all levels: Postdoc, PhD & RA. Want to work on computational cognitive science at scale? Apply: core-cognition.github.io Reposts and shares much appreciated 🙏 17717
Reposted by Marcel BinzEric Schulz @ericschulz.bsky.social · 05/02/2026🚨 Hiring in Munich 🇩🇪: 2 open-topic PhD positions in human & machine learning (TVöD E13 80%). Start ~June 2026 (flexible). Deadline: March 2, 2026. Apply/info: hcai-munich.com/PhD_Job_Ad.pdf Reposts appreciated 🙏 22918
Marcel Binz @marcelbinz.bsky.social · 01/10/2025We are organizing a workshop on Metacognition in Generative AI at @euripsconf.bsky.social in Copenhagen later this year. Submission deadline for short papers is on October 17th. 181
Marcel Binz @marcelbinz.bsky.social · 13/08/2025check out our GAC on benchmarks at CCN happening later today! 140
Reposted by Marcel BinzCarl Zimmer @carlzimmer.com · 02/07/2025What happens when you train AI on psychological experiments? It behaves a lot like a human mind. Here's my story on Centaur, and the debate about what AI has to offer to cognitive science. Gift link nyti.ms/3ZYqXcg 🧪nyti.msScientist Use A.I. To Mimic the Mind, Warts and AllTo better understand human cognition, scientists trained a large language model on 10 million psychology experiment questions. It now answers questions much like we do. 77712
Marcel Binz @marcelbinz.bsky.social · 02/07/2025Excited to see our Centaur project out in @nature.com. TL;DR: Centaur is a computational model that predicts and simulates human behavior for any experiment described in natural language. 64412
Marcel Binz @marcelbinz.bsky.social · 01/06/2025New short-form preprint in which we use Centaur to identify gaps in interpretable cognitive models and revise them accordingly using Qwen3 -- fully automated and without a human-in-the-loop. arxiv.org/abs/2505.17661arxiv.orgAutomated scientific minimization of regretWe introduce automated scientific minimization of regret (ASMR) -- a framework for automated computational cognitive science. Building on the principles of scientific regret minimization, ASMR leverag... 093
Reposted by Marcel BinzIICCSSS @iiccsss.bsky.social · 09/05/2025Registration for IICCSSS 2025 in Darmstadt is open! 🥳 Sign up now for a week of exciting talks, hands-on projects and inspiring discussions! www.iiccsss.org/registration/ As always, IICCSSS is free, and open to all students who are excited about computational cognitive science 💡🧠iiccsss.org registration | IICCSSS International Interdisciplinary Computational Cognitive Science Summer School 063
Reposted by Marcel BinzHelmholtz Munich @helmholtzmunich.bsky.social · 24/04/2025#AIinScience: Ethical & Practical Challenges 🎤Interview with Dr. Marcel Binz, #HelmholtzMunich, on how Large Language Models are transforming scientific methods & the need of reshaping the scientific mindset: 👉 t1p.de/p82vj @marcelbinz.bsky.social @ericschulz.bsky.social @zeynepakata.bsky.social 042
Marcel Binz @marcelbinz.bsky.social · 09/04/2025We are looking for two PhD students at our institute in Munich. Both postions are open-topic, so anything between cognitive science and machine learning is possible. More information: hcai-munich.com/PhDHCAI.pdf Feel free to share broadly!hcai-munich.com 165
Reposted by Marcel BinzMirko Thalmann @mirkothm.bsky.social · 03/02/2025Ever wondered why only some memories 🧠 come easily? Our latest work (osf.io/preprints/ps...) led by S. Haridi, with @ericschulz.bsky.social, shows that targeted memory retrieval speeds up with precise semantic and temporal retrieval cues. Hence, crafting cues can give you instant access to memories⚡ 0137
Reposted by Marcel Binzlucaschubu.bsky.social @lucaschubu.bsky.social · 25/02/2025In previous work we found that VLMs fall short of human visual cognition. To make them better, we fine-tuned them on visual cognition tasks. We find that while this improves performance on the fine-tuning task, it does not lead to models that generalize to other related tasks: 195
Reposted by Marcel BinzMilena Rmus @milenamr7.bsky.social · 26/02/2025About a month late posting this, but here's a new project with @ericschulz.bsky.social, @akjagadish.bsky.social, @marvinmathony.bsky.social and Tobias Ludwig We are using LLMs to propose cognitive models in learning and decision making data. Presenting this work at RLDM! arxiv.org/abs/2502.00879arxiv.orgTowards Automation of Cognitive Modeling using Large Language ModelsComputational cognitive models, which formalize theories of cognition, enable researchers to quantify cognitive processes and arbitrate between competing theories by fitting models to behavioral data.... 0218
Marcel Binz @marcelbinz.bsky.social · 07/02/2025The German Cognitive Science Society is organizing a PhD symposium in Tuebingen in April. If you are a PhD student in the vicinity, you should definetely register (by February 28th) -- it will be fun! cogsciprag.github.io/context-in-c...cogsciprag.github.ioParticipateWebsite for CogSci PhD symposium in Tübingen in 2025 on the topic “Understanding context in cognition”, funded by the German Cognitive Science society 032
Reposted by Marcel BinzEric Schulz @ericschulz.bsky.social · 29/01/2025In our latest article, published in @pnas.org and led by @marcelbinz.bsky.social and Stephan Alaniz, we got together four diverse groups of scientists to reflect on how LLMs should affect science. From treating them like co-authors to using other tools instead, many interesting arguments emerged. 1136
Marcel Binz @marcelbinz.bsky.social · 27/01/2025We are currently building the largest, cross-domain data set of human behavior as part of an open collaborative project. Contributions of any form are welcome, but especially experiments with meta-data from developmental, cross-cultural, or clinical studies. More details: github.com/marcelbinz/P...github.comGitHub - marcelbinz/Psych-201Contribute to marcelbinz/Psych-201 development by creating an account on GitHub. 23515
Reposted by Marcel BinzEric Schulz @ericschulz.bsky.social · 15/01/2025Have we built machines that learn and think like people? In our new paper, we find that vision large language models still fall short when it comes to cognitive abilities in the domains of causal reasoning, intuitive physics, and theory of mind. www.nature.com/articles/s42...nature.comVisual cognition in multimodal large language models - Nature Machine IntelligenceModern vision-based language models face challenges with complex physical interactions, causal reasoning and intuitive psychology. Schulze Buschoff and colleagues demonstrate that while some models ex... 1265
Reposted by Marcel BinzCentre for Cognition, Computation, and Modelling, Birkbeck @cccm-bbk.bsky.social · 17/12/2024and mark in your calendars the following dates & speakers: David Danks, Jan. 7 Dimitri Coelho Mollo, Jan 14 Raphael Milliere, Jan 21 Ben Bergen, Feb 4 David Garcia, Feb 18 Jay McClelland, Mar 4 Chris Summerfield, Mar 18 Marcel Binz, April 1st Tom Griffiths, April 29 Thomas Icard, May 13psyc.bbk.ac.ukSeminar Series – Centre for Cognition, Computation and Modelling 012
Reposted by Marcel BinzKristin Witte @kristinwitte.bsky.social · 10/12/2024Preprint alert! We explore 3 exploration tasks, testing if they measure a stable construct & its link to real-world exploration. We find improved robustness of latent factors compared to single-task estimates. With Mirko Thalmann & @ericschulz.bsky.social 🔗https://osf.io/preprints/psyarxiv/tzuey 22912
Marcel Binz @marcelbinz.bsky.social · 10/12/2024If you are at NeurIPS, and interested in human alignment, representations, or cognitive modeling, don't miss out Can's Poster tomorrow! 061
