#Phd in Complexity Science
https://csh.ac.at/education/graduate-program/
We are looking for students who want to use their exceptional knowledge and skills to make a meaningful difference in society – whether supporting the green transition, combating crime and misinformation, improving healthcare outcomes, or building more equitable economies.
https://csh.ac.at/education/graduate-program/
We are looking for students who want to use their exceptional knowledge and skills to make a meaningful difference in society – whether supporting the green transition, combating crime and misinformation, improving healthcare outcomes, or building more equitable economies.
Complexity Science Hub
Graduate Program * Complexity Science Hub
Courses are offered both by CSH and by our partner universities, one of which will serve as the degree-granting entity. Students will be guided to the
#Postdoc Fellow in Social Reinforcement Learning and Human-AI Hybrid Systems
https://careers.mpib-berlin.mpg.de/jobs/8112072-postdoctoral-fellow-in-social-reinforcement-learning-and-human-ai-hybrid-systems
https://careers.mpib-berlin.mpg.de/jobs/8112072-postdoctoral-fellow-in-social-reinforcement-learning-and-human-ai-hybrid-systems
Max-Planck-Institut für Bildungsforschung
Postdoctoral Fellow in Social Reinforcement Learning and Human-AI Hybrid Systems - Max-Planck-Institut für Bildungsforschung
The Center for Humans and Machines (CHM) at the Max Planck Institute for Human Development in Berlin conducts interdisciplinary science to understand, anticipate, and shape major disruptions from A...
Surface Data vs. Deep Data
Alyosha Efros (UC Berkeley)
https://youtu.be/vk6lgHjjGp8
Jitendra Malik challenges the "bitter lesson" doctrine, arguing that simple scaling is insufficient for true artificial intelligence. By contrasting passive surface data with active, hard-earned deep data, this talk explores the necessity of curiosity-driven exploration and physical embodiment in creating systems that move beyond mere mimicry to genuine understanding of our world.
Alyosha Efros (UC Berkeley)
https://youtu.be/vk6lgHjjGp8
Jitendra Malik challenges the "bitter lesson" doctrine, arguing that simple scaling is insufficient for true artificial intelligence. By contrasting passive surface data with active, hard-earned deep data, this talk explores the necessity of curiosity-driven exploration and physical embodiment in creating systems that move beyond mere mimicry to genuine understanding of our world.
YouTube
Surface Data vs. Deep Data
Alyosha Efros (UC Berkeley)
https://simons.berkeley.edu/talks/alyosha-efros-uc-berkeley-2026-06-11
Topics in Intelligence: World Models and Social Reasoning
https://simons.berkeley.edu/talks/alyosha-efros-uc-berkeley-2026-06-11
Topics in Intelligence: World Models and Social Reasoning
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#PhD position in computational drug discovery
https://kidoktorand.varbi.com/en/what:job/jobID:957832/
https://kidoktorand.varbi.com/en/what:job/jobID:957832/
Varbi
Doctoral student in computational drug discovery
Do you want to contribute to better health for all? To be a doctoral student means to devote oneself to a research project under supervision of experienced researchers and following an individual stud
#PostDoc position at the intersection of AI genetics
https://ukaachen.concludis.de/prj/shw/aba25a9fda63263672f8e84b6d7a4c6e_0/56159/Post-Doktorand_-in_m_w_d_fuer_den_Bereich_und_quot_Kuenstliche_Intelligenz_in_der_Genomik_und_quot_.htm
https://ukaachen.concludis.de/prj/shw/aba25a9fda63263672f8e84b6d7a4c6e_0/56159/Post-Doktorand_-in_m_w_d_fuer_den_Bereich_und_quot_Kuenstliche_Intelligenz_in_der_Genomik_und_quot_.htm
ukaachen.concludis.de
Post-Doktorand/-in (m/w/d) für den Bereich "Künstliche Intelligenz in der Genomik"
Zentrum für Humangenetik und Genommedizin Bewerbungsfrist: 07.08.2026
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Limits of Inference in Complex Systems: When Stochastic Models Become Indistinguishable
https://journals.aps.org/prx/abstract/10.1103/tmkr-9kl2
https://journals.aps.org/prx/abstract/10.1103/tmkr-9kl2
Physical Review X
Limits of Inference in Complex Systems: When Stochastic Models Become Indistinguishable
A path-inference framework quantifies data resolution limits that render distinct stochastic models empirically indistinguishable and offers guidelines for designing experimental measurements that maximize information extraction.
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#Postdoc to join the Network Science Institute at Northeastern University London on a new 3-year Leverhulme Trust-funded project:
🦠 Rethinking Epidemic Models: Integrating Human Behaviour and Psychology
The project will develop a new generation of agent-based epidemic
https://northeastern.wd1.myworkdayjobs.com/en-US/GBR_NULondonCareers/job/London-UK/Research-Assistant_R141807
🦠 Rethinking Epidemic Models: Integrating Human Behaviour and Psychology
The project will develop a new generation of agent-based epidemic
https://northeastern.wd1.myworkdayjobs.com/en-US/GBR_NULondonCareers/job/London-UK/Research-Assistant_R141807
Myworkdayjobs
Research Assistant
About the Opportunity Research Assistant Position overview Department Network Science Institute Location This role is based at One Portsoken, Portsoken Street, London E1 8PH (Hybrid role). Hybrid working is available by arrangement with the Principal Investigator…