Postdocs integrated into the Human brain Project – specifically data-driven modeling at the subcellular or network levels, or tool development/support
Dear Colleagues, dear all, KTH Royal Institute of Technology, Stockholm, is currently recruiting postdocs to be working within the Human Brain Project. 1) Postdoc/application expert – specifically development of brain modeling tools: Specifically for the current position software applications providing user-friendly interface to cellular-level modelling tools will be developed, supported and used. These will include an optimization framework (for fitting electrical models of neurons to their observed electrical behaviour) and also a morphology pipeline (the tool used to analyse and validate neuron morphologies). More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling-... 2) Postdoc in computational systems (neuro)biology – specifically synaptic plasticity and neuromodulation: Specifically for the above position data-driven modeling of receptor induced cascades such as GPCR dependent cascades involved in neuromodulation and synaptic signaling will be done. More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling-... 3) Postdoc in brain simulations - specifically motor control and selection of behaviour: Specifically for the position, modeling of motor control and learning with basal ganglia as important components will be done. The modeling tools are mainly Nest and Neuron. More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling-... All the best, Jeanette Hellgren Kotaleski Prof, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm
*CFP* Call for Chapters, for the book *“Blended Cognition. The Robotic Challenge”,* edited by Jordi Vallverdú and Vincent C. Müller, and published by *Springer Verlag*. To be released in January 2017. *Main aims of the book:* This book introduces a new concept into cognitive sciences research, which will contribute to the design of more realistic and efficient robots: *blended cognition*. Looking at human daily decision-making, we can observe a mixture of methods, as well as lots of intuition-driven actions that are not properly decision-taking at all. Humans blend and combine several kinds of heuristics, consciously or not, at symbolic and sensory-motor levels. The blending can be parallel or sequential, or both. Human beings use a large array of methods and techniques in order to decide a broad range of actions. It can be considered an integrated multi-heuristic activity that runs at several formal as well as informal and even unconscious levels. Our aim is to join re-searchers who are trying to integrate multitask skills into robotic and cognitive systems and to analyze the possible connections of a subsumptioned architecture, with bio-inspired as well as artificial approaches working together. Between classic top down and bottom-up approaches to cognitive processing, we look for the creation of a space for cognitive systems experts that makes possible to select the best and optimal strategy for each decision situation. Blended cognition is, thus, the study of how an intelligent system can use or even partially combine several methods to decide among possible action outputs or data evaluation and storage. A combination of possible data- and task-demands: Semantics-Body-Mind. By ‘semantics’ we mean the value of information at a specific moment for the agent; by ‘body’ we mean the bodily requirements and possibilities (DOF, flexibility, impact absorption, …) that the agent exhibits; and by ‘mind’ we refer to the heuristic mechanisms designed to give answers to the data flows. The importance of blended cognition is that there is no pre-established and rigid hierarchy of control among these possible main layers, as well as for their sub-layers. There are optimized functional strategies of agreement and combination but the key point here is the *flexibility* and *adaptability *of the system. *Suggested Topics:* § A-modal and Modal approaches to decision § Abductive reasoning § Automated discovery § Autonomous robots § Bayesian analysis § Bio-inspired computing § Bounded rationality § Computational Creativity § Data Integration § Embodied cognition § Emotional Architectures § Epigenetic robotics § Extended cognition § Genetic algorithms § Grounded cognition § Heuristics § Incremental active learning § Meta-heuristics § Morphological computing § Multi-heuristics § Non-monotonic logic § Procedural reasoning § Statistical processing § Subsumption architectures § Swarm intelligence *Deadlines :* I. CFP: January, 2016. II. Paper proposals: May 4th, 2016. III. Editors acceptance: May 2nd, 2016. IV. Full materials August 25th, 2016. V. Last reviews: October 24th, 2016. VI. Camera-Ready: November 28th, 2016. VII. Releasement: January, 2017. *Guidelines for manuscript preparation:* https://www.springer.com/gp/authors-editors/book-authors-editors/manuscript-... Please, take into account that all submissions have abstracts, keywords, and a completed and signed consent to publish form. *Send proposals to jordi.vallverdu@uab.cat <jordi.vallverdu@uab.cat>. All e-mails will be answered in order to check deliveries! * Prof. Dr. Jordi Vallverdú, B. Phil, B. Mus, M.Sci, Ph.D. Room B7/104, Philosophy Dept. UAB 08193 Bellaterra (BCN) CATALONIA ------------------- FULL CV/Publications: https://uab.academia.edu/JordiVallverdu <https://uab.academia.edu/JordiVallverd%C3%BA> ORCID: http://orcid.org/0000-0001-9975-7780 ResearcherID: http://www.researcherid.com/rid/K-5536-2014 Researchgate: https://www.researchgate.net/profile/Jordi_Vallverdu 2016-01-23 15:12 GMT+01:00 Jeanette Hällgren Kotaleski <jeanette@csc.kth.se> :
Dear Colleagues, dear all,
KTH Royal Institute of Technology, Stockholm, is currently recruiting postdocs to be working within the Human Brain Project.
1) Postdoc/application expert – specifically development of brain modeling tools:
Specifically for the current position software applications providing user-friendly interface to cellular-level modelling tools will be developed, supported and used. These will include an optimization framework (for fitting electrical models of neurons to their observed electrical behaviour) and also a morphology pipeline (the tool used to analyse and validate neuron morphologies). More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling-...
2) Postdoc in computational systems (neuro)biology – specifically synaptic plasticity and neuromodulation:
Specifically for the above position data-driven modeling of receptor induced cascades such as GPCR dependent cascades involved in neuromodulation and synaptic signaling will be done. More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling-...
3) Postdoc in brain simulations - specifically motor control and selection of behaviour:
Specifically for the position, modeling of motor control and learning with basal ganglia as important components will be done. The modeling tools are mainly Nest and Neuron. More info and how to apply at: https://intra.kth.se/en/anstallning/karriar/karriar-och-kompetensutveckling-...
All the best, Jeanette Hellgren Kotaleski Prof, School of Computer Science and Communication, KTH Royal Institute of Technology, Stockholm
_______________________________________________ Comp-neuro mailing list Comp-neuro@neuroinf.org http://www.neuroinf.org/mailman/listinfo/comp-neuro
participants (2)
-
Jeanette Hällgren Kotaleski
-
Prof. Dr. Jordi Vallverdú