- Comp-neuro - lists.cnsorg.org

Parallel Simulation with NEURON

by Ted Carnevale

A few seats remain available in the course Parallel Simulation with NEURON that we will be presenting at HHMI|Janelia Saturday, June 25 - Monday, June 27. This course is designed for users who already know how to write hoc or Python code for NEURON and now want to adapt existing models, or create new ones, that can be simulated on parallel hardware. Special attention will be paid to strategies for debugging, and measuring and improving performance. Registration is subject to approval by the course's faculty. The registration deadline is Friday, May 20, 2016. For more information and the online application form, see http://www.neuron.yale.edu/neuron/static/courses/summer2016/summer2016.html --Ted

April 28, 2016

Fully funded PhD position, University of Genoa, Italy - "Visuo-haptic sensorimotor models"

by Silvio P. Sabatini

===================================================================== Applications are invited for one full-time PhD studentship (with scholarship) for a period of 3 years, at the Department of Informatics, Bioengineering, Robotics, and System Engineering, University of Genoa, Italy. ===================================================================== The position will start on Nov 1st, 2016 on the following research project: ACTION-PERCEPTION TRANSFER IN VISUAL AND VISUO-HAPTIC BEHAVIOR _Deadline for Applications: June 10th, 2016_ Experiencing the sensory feedback gained from movements allows us to learn the contingencies and correlations between actions and sensory events. Accordingly, sensing "educates" motor action, but, conversely, and more elusively, motor practice can "educate" sensing. The proposed research aims at investigating the interplay between action and perception at different levels: (1) modelling early action-perception transfer in visual feature extraction (cf. neural coding of visual properties) and perceptual judgement processes (decoding stages); (2) experiments on bidirectional perceptual-action influence - including the development of systems and devices that integrate vision and haptics; (3) applications in neuromotor and cognitive rehabilitation, in which action is used to educate perception and perception is used to educate action. The project will provide the opportunity to work on neural modeling, visual and visuo-haptic psychophysics, and robotics. Experimental, modeling, and theoretical approaches might be pursued with a different accent according to personal attitude. * HOW TO APPLY Candidates must have: - University degree at M.Sc. level (or expect to obtain it by October 31st, 2016) in Bioengineering, Computer Science, Physics, or related disciplines; - attitude for problem solving and interest in experimental work; - essential skills comprise Matlab and/or C/C++/C# or Python programming. Online application is possible till June 10th, 2016 (at noon) Italian time Full details on the call and the application procedure are available at: http://www.studenti.unige.it/postlaurea/dottorati/XXXII/ENG/ http://phd.dibris.unige.it/biorob/index.php/how-to-apply Prospective students, please contact: Silvio P. Sabatini (silvio.sabatini(a)unige.it) or Vittorio Sanguineti (vittorio.sanguineti(a)unige.it) providing your CV and qualifications, the name and contact details of two references, and a description of your research interests. * WHERE The research will be conducted jointly at "The Physical Structure of Perception and Computation (PSPC) Lab", and the "Neuro-engineering and Neuro-robotics lab (NEUROLAB)", led by Silvio P. Sabatini and Vittorio Sanguineti, respectively. PSPC-Lab has a long-standing expertise in visual coding and multidimensional signal representation, robot perception and computer vision. In the last years, the lab's research activity focused on the analysis of the structural mechanisms of visuo-spatial cognition, responsible for orienting and interacting in the 3D space. NEUROLAB (http://www.neurolab.dibris.unige.it/) focuses on experimental studies on neural control of movement, in normal and pathologic conditions. Recent activity aimed at investigating the computational basis of motor skill learning, and how this process can be facilitated by robots and other interactive technologies. Our labs are located in Genoa, a small beautiful town in northernItaly, both from historical (its historical center is the largest of Europe) and naturalistic point of view (sea and mountains coexist creating a unique landscape). Genoa is only 1.30h away from Milan by train and connected by plane to Rome (1.00h), London (2h) and Paris (1.30h). Regards, -- --------------------------------------------------------------------- Silvio P. SABATINI, PhD [PSPC Research Group] Professor of Bioengineering DIBRIS - University of Genova | e_mail:silvio.sabatini@unige.it Via Opera Pia, 11A | phone: +39 010 3532092/3532794 I-16145 Genova (ITALY) | fax: +39 010 3532289/3536533 URL:http://pspc.unige.it --------------------------------------------------------------------- "Imagination is more important than knowledge..." [Albert Einstein]

April 28, 2016

PhD Studentships in Computational Neuroscience at the University of Hertfordshire

by Torben-Nielsen, Benjamin

We welcome applications for a funded PhD position in the Biocomputation Research Group at the University of Hertfordshire. The successful applicant will work on a project related to the detailed modelling of neuronal dynamics arising through dendritic processing and/or the analysis of morphological and circuit data. Potential projects in the fields of neuroinformatics and computational neuroscience include (but are not limited to): - Analysis of neuronal morphology and micro-circuitry. - Simulation of development of neuronal morphologies and tissues. - Simulation of dendritic processing on hardware. - Sensory processing and behaviour generation in individual invertebrate neurons. - Development of experimental robot controllers based on dendritic computation. - Structural plasticity at the single neuron and micro-circuitry level. More project ideas can be found here: http://www.dendrites.club/Positions.html The successful candidate will have extensive programming experience, preferably in Python (and/or other programming languages depending on the precise project). Depending on the project, experience with parallel programming (MPI, ZMQ), meshing software (VTK, CGAL, ITK, ...), or statistical analysis in R or Python are an advantage. In addition, we greatly value curiosity and a personal motivation to find out how things work. We collaborate closely with leading experimentalists and theoreticians all over the world, such as Prof. Adrian Moore (RIKEN, Japan), Prof. Erik De Schutter (OIST, Japan) and Dr. Marylka Uusisaari (Erasmus Medical Center Rotterdam, The Netherlands). The student will be based in the Biocomputation Group (biocomputation.herts.ac.uk) at the University of Hertfordshire and will be supervised by Drs. Ben Torben-Nielsen and Volker Steuber to whom informal enquiries can be sent. Successful candidates are eligible for a research studentship award from the University (approximately GBP 14,250 per annum bursary plus the payment of the student fees). Application forms can be obtained from Mrs Lorraine Nicholls, Research Student Administrator, STRI, University of Hertfordshire, College Lane, Hatfield, Herts, AL10 9AB, Tel: 01707 286083, l.nicholls @ herts.ac.uk. The short-listing process will begin on 30 May 2016. Dr. Ben Torben-Nielsen Senior Lecturer (Assistant professor) Biocomputation Group University of Hertfordshire, UK

April 28, 2016

PhD Position: NEUROPHYSIOLOGY and BEHAVIOUR

by Andrea Burgalossi

PhD Position: NEUROPHYSIOLOGY and BEHAVIOUR The lab of Andrea Burgalossi at the Werner Reichardt Centre for Integrative Neuroscience (CIN) in Tübingen is looking for PhD candidates in the field of Neurophysiology and Behaviour Research in our lab focuses on the cellular basis of behavior. We employ a combination of anatomical and electrophysiological techiques for studying how defined neural circuits contribute to sensory and high-level representations of the external world. Possible PhD projects will involve the use of state-of-the-art in vivo electrophysiology techiques, in combination with anatomical methods for neural circuit mapping (please see www.burgalossilab.com or contact Andrea Burgalossi for more details). Previous experience with electrophysiological methods is desirable, but not essential. Analytical and programming skills are a plus. Applications should contain a CV and names of at least two referees. Please send your application electronically to andrea.burgalossi(a)cin.uni-tuebingen.de. More info at http://burgalossilab.com/ http://www.cin.uni-tuebingen.de/ SELECTED PUBLICATIONS Burgalossi et al., Neuron (2011) 70:773-86 Tang et al, Nature Protocols (2014) 9:2369-81 Tang et al., Neuron (2014) 84:1191-7 Ray et al., Science (2014) 343:891-6 Diamantaki et al., Current Biology (2016) 26:536-41 -- Andrea Burgalossi, PhD Cellular and Synaptic Basis of Behaviour Werner Reichardt Centre for Integrative Neuroscience (CIN) Otfried-Müller-Straße 25 72076 Tübingen Tel: 0049-(0)7071 / 29 - 88797 Fax: +49-(0)7071 / 29-25006 Lab web: burgalossilab.com CIN web: http://www.cin.uni-tuebingen.de

April 28, 2016

Fully funded PhD position, University of Birmingham, UK - Human movement

by Chris Miall

Please bring this fully-funded 3-year PhD studentship to the attention of your students: Title: Quantification of motor performance in patients with impaired upper limb movements Supervisors: Chris Miall and Joe Galea,  Place: School of Psychology, University of Birmingham, UK There is growing need for accurate quantification of performance in patients with impaired upper limb movements. This arises from the need to assess recovery of movement following neurosurgery and stroke and to underpin a stratified approach to rehabilitation. We have recently developed methods to assess upper limb movements in a 2D workspace, using the resulting “performance map” to guide stroke rehabilitation. We have also developed methods to link the patients’ performance to muscle activation patterns. We now want to extend this work into 3D, to allow assessment of a broader range of movements, closer to normal activities, and in a shorter period of assessment. In addition, we wish to extend from stroke to assessment of functional recovery after neurosurgery, as a prelude to testing enhancement of recovery with brain stimulation: this would include patients with surgical repair of traumatic injury (road traffic accidents). Finally, we aim to extend our methods to link performance to muscle activation patterns in these continuous movements, in order to better understand the underlying deficits in motor control. The project will make use of a state-of-the-art 3D robotic arm, and assess performance by developing a 3D tracking task, in which a subject’s motor ability is progressively expanded from an initial slow and central focus to regions needing more extended limb postures and faster movement. An assistive algorithm in which the force-controlled robot guides movement towards the target will be used to help patients overcome weak and unstable movement, while still allowing assessment of performance speed, direction and stability. Actions in the robot-assisted task will be compared with free movement tracking in a virtual reality environment, with limb movements captured by existing motion tracking systems, but this motion tracking will ultimately be possible with a device such as the Microsoft Wii or smartphone. The comparisons will inform the potential to translate the assessment from the lab based robotic systems to the bedside. The outcome will be a set of diagnostic tests that deliver accurate quantification of upper limb movement control, suitable for triage of rehabilitation and for assessment of progressive recovery. The project is suited for students with an excellent first degree in neuroscience, engineering, robotics, or computer science. Masters training would also be advantageous. Experience in programming (Matlab or C) would be very valuable, and an interest in working with patients is important. There is studentship funding available for three years from the EPSRC, for UK or EU students only. Please contact Chris Miall (r.c.miall(a)bham.ac.uk<mailto:r.c.miall@bham.ac.uk>) or Joe Galea (j.galea(a)bham.ac.uk<mailto:j.galea@bham.ac.uk>) for further information or use FindaPhD: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=74850 Deadline for application is 20-MAY-2016. ---------------------------------------------------------- Professor R.C. Miall Tel +44 (0)121 414 2867 School of Psychology, Fax +44 (0)121 414 4897 University of Birmingham, Mobile: +44 (0)7709 586997 Edgbaston, Email: r.c.miall(a)bham.ac.uk<mailto:r.c.miall@bham.ac.uk> Birmingham B15 2TT UK Web: http://prism.bham.ac.uk ----------------------------------------------------------

April 27, 2016

PhD position in Neural Data Science / Retina

by Philipp Berens

The labs of Philipp Berens (www.berenslab.org) and Thomas Euler (www.eulerlab.de) at the Center for Integrative Neuroscience (CIN) at the Eberhard-Karls-University of Tübingen are offering a PhD position (TV-L E13 65%) to be filled as soon as possible, with funding for 3 years. The successful candidate will combine experimental and computational approaches to study *neuronal cell type specific computations* in the mouse *retina*. The goal of the project is to provide an account of how the functional response properties of selected ganglion cell types arise from their anatomical structure, connectivity and dendritic integration properties. We envision a highly interdisciplinary project, where the successful candidate will perform state-of-the-art optical imaging and electrophysiological recordings and use computational approaches to analyze their data. The CIN offers a stimulating interdisciplinary scientific environment where research is carried out at all levels of neuroscience. The two labs are also part of the Institute for Ophthalmic Research (Eye Hospital Tübingen) and affiliated with the Bernstein Centre for Computational Neuroscience (BCCN). Furthermore, the project will be performed in collaboration with the lab of Tom Baden at the University of Sussex, UK (www.badenlab.org) We offer employment with a salary and social benefits based on the collective agreement for public service employees in the academic and science sector, TV-L. The Eberhard-Karls-University of Tübingen promotes gender equality and therefore particularly encourages female scientists to apply. Preferential status will be given to handicapped persons, if equally qualified. Requirements: • Background in statistics, machine learning and data analysis • Experience with electrophysiology and/or two-photon imaging or a strong desire to learn these techniques • Programming experience in Python, Matlab, R or similar • Strong quantitative skills Interested applicants should contact Dr. Philipp Berens (philipp.berens(a)uni-tuebingen.de) providing: • a curriculum vitae • a one-page description of past research experience & future research interests • a one-page description of the motivation for applying to this position • names of at least two people that could provide letters of reference Please compile your application in one single PDF-file. -- University of Tübingen http://philippberens.wordpress.com http://www.bethgelab.org

April 27, 2016

3 Fully Funded PhD Positions at the Cognitive Robotics and Interaction Lab of the Robotics, Brain and Cognitive Sciences Department at the Italian Institute of Technology

by Alessandra Sciutti

Apologies for cross-posting =========================================================================== PhD Openings at the Cognitive Robotics and Interaction Lab Robotics, Brain and Cognitive Sciences Department Italian Institute of Technology =========================================================================== In the spirit of the doctoral School on Bioengineering and Robotics the PhD Program for the curriculum Cognitive Robotics, Interaction and Rehabilitation Technologies offers interdisciplinary training at the interface between technology and life-sciences. The objective of the PhD program is to form scientists and research technologists capable of working in multidisciplinary teams on projects where human factors play a crucial role in technological development and design. Robotics and neuroscience researchers in RBCS share, as a fundamental scientific objective, the study of physical and social interaction in humans and machines (www.iit.it/rbcs ). Among the different research themes proposed I would like to advertise these three topics: VISUO-HAPTIC EXPLORATION STRATEGIES FOR OBJECT RECOGNITION MAKE HUMANOIDS UNDERSTAND HUMAN ACTIONS MULTISENSORY HUMAN-ROBOT INTERACTION The ideal candidates are students with a higher level university degree willing to invest extra time and effort in blending into a multidisciplinary team composed of neuroscientists, engineers, psychologists, physicists working together to investigate brain functions and realize intelligent machines, rehabilitation protocols and advanced prosthesis. The successful candidate will also have the opportunity to spend part of his/her PhD at the Osaka University and the University of Tokyo in the framework of the Marie Curie IRSES project CODEFROR (www.codefror.eu) , with the purpose of integrating his/her knowledge with the different expertise available at these institutes. International applications are encouraged and will receive logistic support with visa issues, relocation, etc. Below you can find more details related to the position and the instructions on how to apply. Application deadline: *****10 June 2016, Noon, Italian time***** Best regards, Alessandra Sciutti ----------------------------------------- Alessandra Sciutti (PhD) Researcher, Robotics Brain and Cognitive Sciences Dept. Istituto Italiano di Tecnologia Via Morego 30, 16163 Genova, Italy email: alessandra.sciutti(a)iit.it https://www.iit.it/people/alessandra-sciutti =========================================================================== Make humanoids understand human actions Tutors: Dr. Alessandra Sciutti, Dr. Francesco Rea, Prof. Giulio Sandini Department: RBCS (Istituto Italiano di Tecnologia) http://www.iit.it/rbcs =========================================================================== Description: Action understanding is a fundamental ability at the basis of human interaction. Neurophysiological evidence indicate that it is supported by a visuo-motor matching process: action observation activates in the observer a motor representation of the same action learned through execution, which yields to a rapid and automatic understanding of the action goal. Hence, visual action understanding requires a sensori-motor representation of the action, built by performing it and learning its motor and sensory consequences. The general aim of this project will be to provide the humanoid robot iCub with a similar visuo-motor matching skill in order to endow it with a human-like ability to understand human actions. In particular the robot will have to learn the motor (efference copy) and sensory (visual, joint angles, forces) consequences of its own actions to build a complete action representation. The research should determine which are the visual information needed to allow the recall of this model when the robot observes the same action performed by someone else. The work might take advantage of a computational system already available on the robot designed to localize the portion of the scene containing biological motion and extract some of its visual features . The successful candidate will also have the opportunity to spend part of his/her PhD at the Osaka University and the University of Tokyo in the framework of the Marie Curie IRSES project CODEFROR, with the purpose of integrating his/her knowledge with the different expertise available at these institutes. Requirements: degree in robotics, bioengineering, computer science, computer engineering, or related disciplines, attitude for problem solving, c++ programming. A background on machine learning is an asset. References: Sciutti A., Ansuini C., Becchio C. & Sandini G. 2015, Investigating the ability to read others intentions using humanoid robots, Frontiers in Psychology Cognitive Science, vol. 6,no. 1362 Noceti N., Sciutti A. & Sandini G. 2015, Cognition helps vision: recognizing biological motion using invariant dynamic cues, 18th International Conference on Image Analysis and Processing. Rizzolatti G, Craighero L. 2004 The mirror-neuron system. Annu Rev Neurosci 27:169192 Contacts: Applicants are strongly encouraged to contact the perspective tutors before they submit their application: alessandra.sciutti(a)iit.it, francesco.rea(a)iit.it , giulio.sandini(a)iit.it =========================================================================== Multisensory human-robot interaction Tutors: Dr. Francesco Rea, Dr. Alessandra Sciutti, Prof. Giulio Sandini Department: RBCS (Istituto Italiano di Tecnologia) http://www.iit.it/rbcs =========================================================================== Description: Humans interact with each other by exploiting a variety of communicative cues across many different sensory channels. Communication signals range from speech to sounds in the auditory domain, from gestures to facial expressions in the visual domain and to different types of physical contacts in the haptic domain. Moreover, these signals can be explicitly communicative, as pointing or waving, or implicit and unconscious, as gaze direction or body movements speed. The activity we propose is to endow the humanoid robot iCub with a library of sensory and motor skills supporting all these communication possibilities. The robot will have first to detect the presence of a potential human partner nearby and then establish a communication with him by making use of these multisensory cues. The research will leverage on the current social capabilities of the robot iCub, as gaze tracking, biological motion detection, biologically plausible motion generation, etc. The selected candidate will have to integrate the existing skills and develop the missing abilities, in order to enable iCub to interact naturally with non-expert users across multiple sensory domains. The successful candidate will also have the opportunity to spend part of his/her PhD at the Osaka University and the University of Tokyo in the framework of the Marie Curie IRSES project CODEFROR, with the purpose of integrating his/her knowledge with the different expertise available at these institutes. Requirements: Degree in robotics, bioengineering, computer science, computer engineering, or related disciplines, attitude for problem solving, c++ programming, as also willingness to make experiments with human participants. Strong motivation to work and adapt to a multidisciplinary environment. References:. Palinko O., Sciutti A., Rea F. & Sandini G., 2015, Eye Gaze Tracking for a Humanoid Robot in IEEE/RAS International Conference of Humanoids Robotics, Seoul, Korea, November 3-5 2015. Mosadeghzad M., Rea F., Tata M., Brayda L. & Sandini G. 2015, Saliency Based Sensor Fusion of Broadband Sound Localizer for Humanoids, 2015 IEEE International Conference on Multisensor Fusion and Information Integration (MFI 2015), San Diego, CA, USA, September 14-16, 2015; Sciutti A., Patanè L., Nori F. & Sandini G., 2014, Understanding object weight from human and humanoid lifting actions, IEEE Transactions on Autonomous Mental Development, vol. 6, no. 2, pp. 80-92 doi: 10.1109/TAMD.2014.2312399 Contacts: Applicants are strongly encouraged to contact the perspective tutors before they submit their application: francesco.rea(a)iit.it , alessandra.sciutti(a)iit.it, giulio.sandini(a)iit.it =========================================================================== Visuo-haptic exploration strategies for object recognition Tutors: Dr. Alessandra Sciutti, Dr. Francesco Rea, Prof. Giulio Sandini Department: RBCS (Istituto Italiano di Tecnologia) http://www.iit.it/rbcs =========================================================================== Description: In everyday situations human adults are capable of transferring information about objects from one sensory modality to the other. Objects explored visually can, at a later time, be analyzed, and recognized, by exploring them with our hands and, vice versa, we can visually recognize objects that have been previously explored haptically. This cross-modal transfer can be explained only through the use of a representation of objects merging visual and haptic information and perhaps by hypothesizing a shared exploratory strategy used when we explore objects visually or haptically. The main scientific objective of the project is to test this hypothesis by investigating how the transfer of information form one sensory modality to the other develops in humans and if different sensory channels share the same exploration strategy. A model of this ability could be implemented on the humanoid robot iCub to build and exploit a multisensory representation of manipulable objects, augmenting its ability to learn how to interact with the environment and with others. The successful candidate will conduct experimental investigation of human visuo-haptic explorative strategies by means of multiple techniques, as eye-tracking, motion capture and force measurements with ad hoc designed devices. The collected data will be used to model the exploration strategies both during healthy development and in presence of sensory deficits. The successful candidate will also have the opportunity to spend part of his/her PhD at the Osaka University and the University of Tokyo in the framework of the Marie Curie IRSES project CODEFROR, with the purpose of integrating his/her knowledge with the different expertise available at these institutes. Requirements: The candidate for this position must have either a degree in Computer Science Engineering, Bioengineering or equivalent, with high interests in human sciences, or alternatively a degree in Psychology, with proven background in programming toolboxes (Matlab, R). References:. Gori M., Sciutti A., Burr D. & Sandini G. 2011, Direct and indirect haptic calibration of visual size judgments, PLoS ONE, vol. 6,no. 10, e25599. [ Sann, C. and Streri, A. (2007), Perception of object shape and texture in human newborns: evidence from cross-modal transfer tasks. Developmental Science, 10: 399410. doi: 10.1111/j.1467-7687.2007.00593.x Gori, M., Del Viva, M., Sandini, G., & Burr, D. C. (2008). Young children do not integrate visual and haptic form information. Current Biology, 18(9), 694-698. Contacts: Applicants are strongly encouraged to contact the perspective tutors before they submit their application: alessandra.sciutti(a)iit.it, francesco.rea(a)iit.it , giulio.sandini(a)iit.it =========================================================================== How to apply =========================================================================== Please note that the positions are available through the PhD course of Bioengineering and Robotics, curriculum on Cognitive Robotics, Interaction and Rehabilitation Technologies, offered jointly by IIT and the University of Genoa. The official calls are available here: https://www.iit.it/phd-school under the section Research themes for the call for application to PhD Courses established in agreement with the Università degli Studi di Genova, XXXII cycle. Please have a look at the "tips and tricks" section which contains detailed instructions on how to apply and a list of documents you have to present. The link to the on-line application page is: http://www.studenti.unige.it/postlaurea/dottorati/XXXII/ In case of problems or questions related to the application procedure, please contact: anastasia.bruzzone(a)iit.it =========================================================================== Application deadline: *****10 June 2016, Noon, Italian time****** ===========================================================================

April 27, 2016

Postdoctoral position in active touch sensing

by Calogero Oddo

Dear Colleagues, we are opening at least one postdoctoral position in active touch sensing within the Neuro-robotics Area of The BioRobotics Institute of Scuola Superiore Sant'Anna, Pisa, Italy. The recruited postdoctoral fellow(s) may be requested to contribute to the supervision of a growing research team, and will be involved in the development of artificial touch sensory systems, spanning from components level up to robotic system integration and data analysis via neuro-bio-inspired architectures for a wide range of applications, including neuroprosthetics, medical and industrial robotics. Both junior and senior post-docs can apply. Net salary may reach up to 2k€/month, depending on qualification. In our research group we target the engineering of an artificial tactile sense in parallel to the investigation of human touch. We develop and integrate novel transducers. We implement neuromorphic systems, with natural spike-based coding of tactile information. We analyse neural data to unveil the neuronal processes underlying the human sense of touch, and we implement behavioural protocols to characterize the perception of tactile features. The developed biorobotic technologies, complemented with a body of neuroscientific knowledge, converge in key application domains in bionic limb prostheses, safe human-machine co-work, tele-presence for medical robotics and hand-held consumer electronics. The ideal candidate shall have a subset of the following qualifications: - PhD in disciplines such as biorobotics, robotics, computational neuroscience, control and automation, electrical engineering, computer science - Experience in (real-time) programming with C/C++, LabVIEW Real-Time, LabVIEW FPGA - Experience in data-analysis via Matlab - Experience in designing printed circuit boards with software such as Eagle or Orcad - Experience in designing mechanical parts with software such as SolidWorks or PTC Creo - Experience in the development of spike-based neuro-robotic systems, with a particular focus on artificial touch - Track-record in publishing scientific papers in international journals - Track-record in the management of intellectual property issues - Ability to contribute to the preparation of research project proposals - Ability to contribute to didactic activities at graduate or undergraduate level - Ability to work in research teams and to contribute to co-supervision of junior team members - Excellent knowledge of English language Recent publications of our group include: 1. Oddo, C.M.; Raspopovic, S.; Artoni, F.; Mazzoni, A.; Spigler, G.; Petrini, F.; Giambattistelli, F.; Vecchio, F.; Miraglia, F.; Zollo, L.; Di Pino, G.; Camboni, D.; Carrozza, M.C.; Guglielmelli, E.; Rossini, P.M.; Faraguna, U.; Micera, S. Intraneural stimulation elicits discrimination of textural features by artificial fingertip in intact and amputee humans. Elife 2016. 2. Rongala, U.B.; Mazzoni, A.; Oddo, C.M. Neuromorphic Artificial Touch for Categorization of Naturalistic Textures. IEEE Transactions on Neural Networks and Learning Systems 2015. 3. Rongala, U.B.; Mazzoni, A.; Camboni, D.; Carrozza, M.C.; Oddo, C.M. Neuromorphic artificial sense of touch: bridging robotics and neuroscience. International Symposium on Robotics Research 2015. 4. Salgarella, A.R.; Giudetti, G.; Ricotti, L.; Camboni, D.; Puleo, G.L.; Ruini, F.; Tonda-Turo, C.; Chiono, V.; Ciardelli, G.; Micera, S.; Menciassi, A.; Oddo, C.M. A bio-hybrid mechanotransduction system based on ciliate cells. Microelectronic Engineering 2015. 5. Klöcker, A.; Oddo, C.M.; Camboni, D.; Penta, M.; Thonnard, J.-L. Physical Factors Influencing Pleasant Touch during Passive Fingertip Stimulation. PloS One 2014. To express interest in this position, please contact: - Dr. Calogero Maria Oddo - c.oddo(a)sssup.it - Prof. Maria Chiara Carrozza - m.c.carrozza(a)sssup.it Scuola Superiore Sant’Anna (SSSA, http://www.santannapisa.it/en) is a public Italian university for research and advanced undergraduate and graduate education in the fields of Experimental and Social Sciences. In the Times Higher Education (THE) World University Rankings of young universities, released in April 2016, SSSA ranked 10th worldwide among institutions that are aged 50 or younger and 5th worldwide among institutions that are aged 30 or younger. Post-graduate education and research activities at SSSA are structured within six Institutes. The present position is opened at The BioRobotics Institute, directed by Prof. Paolo Dario, which was specifically created to host the research activities of SSSA at the intersection between scientific research and technological innovation in robotics and bioengineering (http://sssa.bioroboticsinstitute.it) The BioRobotics Institute was formally established in 2011 and it gathers the experience of more than 20 years of research carried out by the ARTS and CRIM Labs, that were founded by Prof. Paolo Dario with the mission of addressing research in the field of Biorobotics and Biomechatronics with a strong interdisciplinary approach, integrating different knowledge backgrounds to study theoretical and technological problems related to the development of advanced robotic systems and microtechnologies. Please feel free to forward this call to colleagues or to any candidate that you may consider qualified. Thank you and best regards, Calogero Maria Oddo and Maria Chiara Carrozza -- Calogero M. Oddo PhD BioRobotics MSc, BSc Electronic Engineering Assistant Professor of Bioengineering Head of the Human Machine Nexus Laboratory Neuro-robotics Area The BioRobotics Institute Viale Rinaldo Piaggio 34, 56025, Pontedera (PI), Italy Scuola Superiore Sant'Anna, Pisa, Italy Tel: +39 050 88 3067 Mobile: +39 331 6992273 email: oddoc(a)sssup.it http://sssa.bioroboticsinstitute.it/user/102 http://sssa.bioroboticsinstitute.it/research/neurorobotics

April 27, 2016

Conf: Frontiers in Applied and Computational Mathematics, June 3-4, USA

by Casey Diekman

The 13th Annual Conference on Frontiers in Applied and Computational Mathematics (FACM '16) will be held at the New Jersey Institute of Technology (NJIT) in Newark, New Jersey on June 3-4, 2016. The conference focuses on mathematical and computational aspects of materials science, mathematical neuroscience, computational wave propagation, biological and microscale fluid dynamics, statistics, and biostatistics. Researchers in these areas are invited to address the development of mathematical techniques for application to challenging problems. Plenary speakers: Robert Kass (Carnegie Mellon University), Mitchell Luskin (University of Minnesota), Laura Miller (UNC Chapel Hill), André Nachbin (IMPA, Brazil) *Travel funding for contributed poster presentations is available. Abstract submission and registration deadline is April 29, 2016.* Further details can be found at: http://m.njit.edu/Events/FACM16/

April 27, 2016

PhD position in swarm robotics available at UTC (Compiegne - France)

by Eliseo Ferrante

—apologies for multiple postings— A fully-funded three years PhD position in swarm robotics is available at the Laboratory of Excellence (LABEX) at the Université de Technologie de Compiègne (UTC) in France (www.utc.fr/labexms2t) The successful candidate will work with Dr. Eliseo Ferrante on exciting topics at the interface between swarm robotics, evolutionary biology, and statistical physics. The research direction will be managed by Dr. Ferrante in collaboration with the DIVINA project ( https://www.hds.utc.fr/labex-ms2t-484/news-rubrique/events/DIVINA/?lang=en) team led by Prof. Vincent Frémont. The PhD is expected to start in Fall 2016. The accepted candidate will work on a project focusing on the design of self-organized collective behaviors for performing collective exploration of a an unknown environment using a swarm of robots and principles of self-organization. The methods will be based on biological models of information retrieval and integration, such as distributed decision-making and collective categorization, which in turns recalls the cognitive mapping processes in the human brain. For a description of the research interests of Dr. Ferrante, please visit his website (https://bio.kuleuven.be/ento/ferrante/) Graduate students with background in computer science, physics, or biology and with specialization in artificial intelligence, statistical physics, computational modeling in biology, or robotics are encouraged to apply. The candidate is expected to be proficient in programming in languages such as C++ and Java, and to have solid knowledge of scientific software packages such as Matlab, R, and/or equivalent. Candidates with experience with multi-agent simulations will be highly preferred. Fluent English (written and spoken) is required, and only applications in English will be accepted. Above all, the applicants must be motivated, autonomous, and able to learn quickly and work effectively on challenging research problems. We will begin reviewing candidate's applications starting from June 2016. To apply, you can send the following documents to Eliseo.Ferrante(a)hds.utc.fr and Vincent.Fremont(a)hds.utc.fr: - Curriculum vitae - Motivation letter - At least two references and/or recommendation letters - A statement of research experience and interests - Any research articles authored by the applicant For any informal enquiry about the eligibility conditions, as well as for more details about the position, please contact Eliseo Ferrante < eliseo.ferrante(a)hds.utc.fr>.

April 26, 2016