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Job description: Offer DescriptionMissionWe are inviting applications for master’s theses/internship positions focused on pioneering robotic foundation models to understand the neural basis of mammalian motor control. The projects are generously funded by an and a .Our lab is driving a paradigm shift from hypothesis-driven discovery in neuroscience, focusing on carefully defined experimental conditions, to data-driven discovery, focusing on interrogating a large number of conditions to cover vast hypothesis spaces. To this end, we are working with some of the richest neural-behavioural datasets in macaques and rodents from our collaborators. We are also planning our own neural recording setup to conduct high-throughput experiments in the loop. Our goal is to develop a scalable ‘general-purpose’ foundation model that can perform naturalistic motor actions in a broad set of environments.Who we areThe is a young and rapidly growing team of researchers in physics, computer science, mathematics and neuroscience with a shared passion for conducting pioneering scientific work at the interface of neuroscience and machine learning (NeuroAI). We have developed several breakthrough mathematical methodologies in neuroscience (e.g., or ). We are hosted by the of the , the largest medical school in Europe. We are embedded in a network of AI researchers ( and ). We are located in Vienna, one of the most liveable and beautiful cities in the world.Main duties and responsibilities
Where to apply WebsiteRequirementsSkills/Qualifications
Languages ENGLISH Level ExcellentAdditional InformationBenefits
Selection processOn a rolling basis, until the position is filled.Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Institute of Artificial Intelligence, Medical University of Vienna Country Austria City Vienna Postal Code 1090 Street Währinger straße 25aContact CityVienna WebsiteStreetWähringer straße 25a Postal Code1090STATUS: EXPIREDShare this page
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Location: Wien
Job date: Thu, 12 Jun 2025 03:14:10 GMT
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