- Comp-neuro - lists.cnsorg.org

Multiple Openings for Research Scientists and Engineers to Reverse Engineer intelligence

by Lopez, Camila

Hi, Can you please post this job ad? Multiple Openings for Research Scientists and Engineers to Reverse Engineer intelligence We are looking for exceptionally talented researchers that share our vision: to discover new computational principles of brain intelligence and apply these principles to create fundamentally new algorithms for machine intelligence. We are particularly interested in candidates with expertise in machine learning, computational neuroscience or with strong quantitative background in Mathematics, Statistics, Physics or Computer Science. Our NINAI (Neuro-Inspired Networks for Artificial Intelligence) research team is interdisciplinary and international, with expertise ranging from large-scale neurophysiology and brain circuit analysis to deep learning. POSITIONS: We have opportunities in several project components and multiple locations, and all participants will interact extensively across multiple scientific disciplines and multiple sites. Highest-priority topics include: * Developing new architectures for deep networks * Neuro-inspired networks for real-world tasks * Functional modeling of neuronal microcircuits * Probabilistic inference by population codes * Statistical analysis of large-scale neural data from behaving animals THE TEAM: The project is led by Andreas Tolias (PI) and Xaq Pitkow (co-PI), from Baylor College of Medicine, and includes researchers from Columbia, Cornell, Rice University, University of Toronto, University of Tübingen, the Allen Institute, and Princeton: Matthias Bethge, Liam Paninski, Ankit Patel, Clay Reid, Sebastian Seung, Raquel Urtasun, Chris Xu, Richard Zemel. For detailed information about the team and its members, please see our website, ninai.org<http://ninai.org/>. QUALIFICATIONS: Candidates must have a record of productivity, excellent quantitative skills, good communication skills, and creativity. Experience in Machine Learning and in particular Deep Learning is desired. APPLYING: The positions provide a competitive annual salary and benefits, and outstanding scientific opportunities. Applicants should email a CV, letter of research interests, and contact information for three references to info(a)ninai.org<mailto:info@ninai.org>, camilal(a)bcm.edu<mailto:camilal@bcm.edu> and astolias(a)bcm.edu<mailto:astolias@bcm.edu>. We look forward to hearing from you!

May 29, 2018

IEEE Special issue deadline extended!

by Steve Mehrkanoon

Paper Submission Deadline Extended! CALL FOR PAPERS Special issue: Neural Systems Engineering and Mathematical Modelling of Brain dynamics using ECoG/EEG/MEG oscillations and Machine learning methods Journal IEEE Transactions on Neural Systems and Rehabilitation Engineering New Submission Deadline: 01/07/2018 Submission portal: https://mc.manuscriptcentral.com/tnsre-embs Contributions will receive prompt and thorough peer review and will be published online ahead of print after acceptance. In humans, interactions between neuronal circuits, systems and signals among micro-, meso- and macro-scales of brain dynamics underpin the functional organisation of the brain that supports our daily life activity. How efficiently neuronal circuits such as cortico-cortical, cortico-thalamic and thalamo-cortical networks interact among these multiple spatial scales remains to be fully elucidated. Mathematical, computational and experimental neuroscientists apply a variety of methods, techniques and algorithms, both in animals and humans, ranging from single cell recordings to whole brain imaging, in order to identify the core mechanisms that govern the interactions among these scales. Although our knowledge of neural mechanisms, circuits and networks underlying brain dynamics and functions constantly grows, the integration of this knowledge to provide a conceptual framework of emergent behaviour and pattern formation occurring on different levels of spatial organisation remains challenging. Authors are invited to submit original or review articles addressing mechanisms of emergent brain dynamics inferred from the analysis of ECoG/EEG/MEG, on all levels of complexity. Specifically, articles integrating (i) computational neuroscience, and (ii) mathematical models of biologically realistic neuronal networks and machine learning methods are welcome. In this special issue, Guest Editor Dr Steve Mehrkanoon welcomes papers that address many of the challenges of mathematical and computational models of the brain networks and dynamics given the measurement data ECoG/EEG/MEG. The scope of this special issue is interdisciplinary. The list of possible topics includes, but is not limited to: * New developments in computational and mathematical models of mean field theory integrated with ECoG/EEG/MEG modalities. * Multi-modal and combinatorial fusion of ECoG/EEG/MEG data and brain connectivity machine learning. * Development of data-driven machine learning techniques to identify the mechanisms of emergent spatia-temporal dynamics within the framework of network topology. * Development of computational and mathematical models for bridging the scales of brain dynamics. * Cortical network modelling and formal conceptual models of cortical oscillations. * Application of deep learning and machine learning algorithms in functional, structural and effective network analysis and predictive models of brain dynamics. * New cutting-edge numerical analysis and techniques to simulate meso- and macro-scale brain dynamics. * Adaptive mathematical and computational models of network dynamics (e.g., brain development and aging studies). * Statistical methods for assessing individual and population brain connectivity data. Guest Editors 1. Dr Steve Mehrkanoon The University of Queensland Centre for Clinical Research, Faculty of Medicine, School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia Contact: s.mehrkanoon(a)uq.edu.au<mailto:s.mehrkanoon@uq.edu.au> 1. Professor David Liley Centre for Human Psychopharmacology, School of Health Sciences, Swinburne University of Technology, Melbourne, Australia Contact: dliley(a)swin.edu.au<mailto:dliley@swin.edu.au> 1. Dr Siamak Mehrkanoon Department of Electrical Engineering (ESAT), University of Leuven, KU Leuven, Belgium Contact: Siamak.Mehrkanoon(a)esat.kuleuven.be<mailto:Siamak.Mehrkanoon@esat.kuleuven.be> IMPORTANT DATES Extended Submission Deadline: 01/07/2018 Notification Of Acceptance: 31/08/2018 https://tnsre.embs.org/2018/04/13/call-for-papers-special-issue-on-neural-s…) - - - Dr Steve Mehrkanoon Mathematical Neuroscientist, Advance Queensland Research Fellow, Perinatal Research Centre, Faculty of Medicine, Home: http://researchers.uq.edu.au/researcher/14135 Level 4, UQ Centre for Clinical Research, Building 71/918<https://www.google.com.au/maps/place/UQCCR/@-27.448514,153.028703,15z/data=…> Royal Brisbane and Women’s Hospital, Qld 4029 T: +61 7 3346 6012 E: s.mehrkanoon(a)uq.edu.au<mailto:j.wixey@uq.edu.au>

May 29, 2018

PhD Position available: Computational methods for longitudinal studies of structural brain connectivity, Deadline 31/5/18

by Emanuele Olivetti

PhD position available (online application details below) Title: Computational methods for longitudinal studies of structural brain connectivity Topic: machine learning / pattern recognition for diffusion MRI data analysis Description: Diffusion MRI provides indirect information of the anatomical structure of the white matter of the brain. Neurological diseases and brain disorders may introduce alterations in such structures. Additionally, after neurosurgery and cognitive rehabilitation, there may be reorganization of the white matter. The goal of this project is to design computational methods to detect and characterize white matter changes over time, disentangling the intrinsic variability of brain recordings from actual anatomical changes, in order to support neuroscientific and clinical inference. References: - https://doi.org/10.3389/fnins.2016.00554 - https://doi.org/10.3389/fnins.2017.00754 Emanuele Olivetti ---------- Forwarded message ---------- From: *PhD CIMeC* <phd.cimec(a)unitn.it <mailto:phd.cimec@unitn.it>> Date: Thu, May 24, 2018 at 10:04 AM Subject: PhD Position available: Computational methods for longitudinal studies of structural brain connectivity, Deadline 31/5/18 To: CIMeC is pleased to announce the opening of a call for 11 fellowships for our international PhD Program in Cognitive and Brain Sciences (CIMeC), commencing November 2018 at the University of Trento, Italy. As you will see from the links below, the PhD call is open to several fields of cognitive neuroscience research. Candidates interested in*Computational methods for longitudinal studies of structural brain connectivity <http://www.unitn.it/drcimec/topic-specific-grants> *should contact *Emanuele Olivetti *at olivetti(a)fbk.eu <mailto:olivetti@fbk.eu>**immediately*.* * *Admissions*: http://www.unitn.it/drcimec/admission <http://www.unitn.it/drcimec/admission> * PhD research areas outline: http://www.unitn.it/drcimec/research-topics <http://www.unitn.it/drcimec/research-topics> * PhD Application*summary*: http://www.unitn.it/drcimec/node/118 <http://www.unitn.it/drcimec/node/118> * PhD*Application*link:https://webapps.unitn.it/Apply/en/MyUnitn/Home/669/dott/cbs34 <https://webapps.unitn.it/Apply/en/MyUnitn/Home/669/dott/cbs34> * PhD Application*Deadline*:*Thursday May 31, 2018, at 4pm (Italian time)* * *CIMeC*:http://www.unitn.it/cimec <http://www.unitn.it/cimec> This year’s research topics proposed by the Doctoral Program Committee for 5 UNITN grants are visible here:http://www.unitn.it/drcimec/research-topics <http://www.unitn.it/drcimec/research-topics>, while the 6 topic-specific grants’ details can be found here:http://www.unitn.it/drcimec/topic-specific-grants <http://www.unitn.it/drcimec/topic-specific-grants> _The CIMeC, it’s doctoral program and UNITN in numbers:_ * 2018 UNITrento ranks among top Italian Universities in THE - Times Higher Education * *4-yr program*(Nov. 1, 2018- Oct. 31, 2022). * Why a 4-yr program <http://www.unitn.it/drcimec/node/117> * Courses are given in English * 11 positions, 100% funded * Salary: starting at approximately €1.200/mo., net * Winners receive a €4887 tax-free research/mobility budget * Why choose UNITRENTO <http://www.unitn.it/en/ateneo/1629/why-choose-the-university-of-trento> Please feel free to browse theFAQ <http://www.unitn.it/drcimec/node/122>pages on our website for further information, or contact the Director of the Programme, Prof. Francesco Pavaniphd.cimec(a)unitn.it <mailto:phd.cimec@unitn.it>. Regards, Leah Mercanti -- Leah Mercanti CIMeC PhD Program Administrator -------------------------------------------------------- CIMeC - Center for Mind/Brain Sciences University of Trento <https://maps.google.com/?q=Trento+Corso+Bettini,+31+I-38068,+Rovereto&entry…> Corso Bettini, 31 <https://maps.google.com/?q=Trento+Corso+Bettini,+31+I-38068,+Rovereto&entry…> I-38068, Rovereto <https://maps.google.com/?q=Trento+Corso+Bettini,+31+I-38068,+Rovereto&entry…> (TN) Tel: +39 0464 80 8617 Fax: +39 0461 28 8690 Skypename: lleahhatwork Email: phd.cimec(a)unitn.it <mailto:phd.cimec@unitn.it> http://www.unitn.it/drcimec/ -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

May 28, 2018

Professorship in Computational Neuroscience

by Steuber, Volker

Professor of Computational Neuroscience University of Hertfordshire School of Computer Science, College Lane Campus, Hatfield, UK Salary £58,293 to £67,437 pa depending on skills and experience FTE: Full time position working 37 hours per week (1.0 FTE). Closing date: 21 June 2018 Duration of Contract: Permanent. Applications are invited for an exceptionally well qualified Professor of Computational Neuroscience of international standing, who shares our commitment to research-informed teaching, embraces the research impact agenda, and values collegiality. Applicants will strengthen existing activity within the School and develop it further, enhancing the research strengths and external reputation of the School of Computer Science and contributing significantly to its performance in future research assessments and collaborations with commercial and public partners. The successful applicant will complement the research conducted by the Biocomputation Research Group within the Centre for Computer Science and Informatics Research. As well as providing research supervision at PhD and MSc level, the School of Computer Science offers modules in neural computing and machine learning on the BSc and MSc programmes. Applicants must hold a PhD (or equivalent) in a relevant subject, possess excellent communication skills in English, an internationally excellent research record and reputation, including publications of the highest quality suitable for submission to the REF. Applicants must show evidence of experience and success in research/commercial income generation, engagement with the research impact agenda, engagement with key stakeholders in the Computational Neuroscience community, and management and leadership ability.? Interview Date: Week commencing 17 September 2018. The University offers a range of benefits including a pension scheme, professional development, family friendly policies, child care vouchers, a fee waiver of 50% for all children of staff under the age of 21 at the start of the course, discounted memberships at the Hertfordshire Sports Village and generous annual leave. The University is situated in Hatfield, in the green belt just north of London. Applications must be made online https://www.herts.ac.uk/contact-us/jobs-and-vacancies/academic-vacancies?, reference 016195?. For informal enquiries contact Dr Volker Steuber (v.steuber(a)herts.ac.uk, Head of Biocomputation Research Group, Associate Dean Research) or Prof William Clocksin (w.clocksin(a)herts.ac.uk, Dean of School of Computer Science).

May 25, 2018

PhD Studentship in Multilevel modelling of neuronal function: combining metabotropic pathways and membrane excitability in-silico for the quick screening of drugs

by Tsaneva-Atanasova, Krasimira

PhD Studentship in Quantitative Pharmacology and Neuroscience: Multilevel modelling of neuronal function: combining metabotropic pathways and membrane excitability in-silico for the quick screening of drugs University of Reading - School of Pharmacy Supervisors: Dr Francesco Tamagnini (Pharmacy), Dr Marcus Tindall (Mathematics & Statistics), Prof Krasimira Tsaneva-Atanasova (University of Exeter, College of Mathematics, Engineering and Physical Sciences). Project overview: Neurons work as information relays. They integrate information received from the environment at the subcellular scale, generating an appropriate electrophysiological response. The understanding of electrical processes happening at the plasma membrane level has been clarified by Hodgkin and Huxley, combining experimental recordings to mathematical modelling of equivalent electrical circuits. However, quantitative models describing the effects of cell signalling on the cellular response are lacking. Adenosine is a neurotransmitter binding both A1 (Gi) and A2 (Gs) receptors. A1 and A2 stimulation results in altered neuronal excitability via K+ permeability changes. In this project, we aim to combine a mathematical model of adenosine receptor signal transduction (Tindall) with the Hodgkin-Huxley model of a neuron (Tsaneva-Atanasova), to generate an in-silico multiscale model of electrophysiological response to chemical stimulation. We will test the predictive capability of the model with whole-neuron patch-clamp recordings (Tamagnini). The mathematical models formulated during the project will utilise the theory of differential equations (ordinary and partial) solved and analysed both numerically and analytically (e.g. dynamical systems theory, asymptotic methods). The successful candidate will be involved in the design and undertaking of wet laboratory experiments for informing the mathematical models. The final aim of this project is to develop and validate a software capable of predicting changes to an artificial neuron based on its exposure to varying concentrations of a given ligand. Eligibility: * Applicants should hold or expect to gain a minimum of a 2:1 Bachelor Degree or equivalent in Mathematics, Engineering or Neuroscience related subjects. The applicant will have a strong background in mathematics and computer coding (Matlab, Python, C++) and a keenness to engage with and learn wet lab techniques (i.e. pipetting, solution making, single cell electrophysiology); * This studentship is open to UK/EU students only. Funding details: * Starts 10/2018; * 3-year award; * Tuition fees plus stipend (Research Council UK 2018/19 rate is currently £14,777). How to apply: To apply for this studentship, please submit an application for a PhD in Pharmacy at http://www.reading.ac.uk/graduateschool/prospectivestudents/gs-how-to-apply…. Important notes: 1. Please quote the reference ‘GS18-018’ in the ‘Scholarships applied for’ box which appears within the Funding Section of your online application. 2. When you are prompted to upload a research proposal, please omit this step. Application deadline: 30th June 2018. Further enquiries: Please note that, where a candidate is successful in being awarded funding, this will be confirmed via a formal studentship award letter; this will be provided separately from any Offer of Admission and will be subject to standard checks for eligibility and other criteria. For further details, please contact: f.tamagnini(a)reading.ac.uk.<mailto:f.tamagnini@reading.ac.uk>

May 25, 2018

Faculty position at UNAM Institute of Neurobiology (Mexico)

by Fidel Santamaria

Computational and Genomic Neuroscience at UNAM The Institute of Neurobiology, UNAM (www.inb.unam.mx<http://www.inb.unam.mx>) invites applications for two tenure-track positions, one in Computational Neuroscience and another one in Genomic Neuroscience. We seek experienced scientists with proven record of publications to develop innovative research programs employing on-campus high performance computing resources to complement the current neuroscience research at the Institute. The successful applicants will be expected to establish externally funded research programs, to engage in intramural collaborative projects, to supervise undergraduate and graduate students, and to teach basic and advanced courses in their field of expertise. Applicants should send their CV, addresses of three references, a five-page research proposal and a one-page statement on their views on teaching to ataulfo(a)unam.mx<mailto:ataulfo@unam.mx>. The application deadline is August 15th, 2018. We encourage applications from women. Instituto de Neurobiología Universidad Nacional Autónoma de México Laboratorio de Neurobiología Molecular y Celular (D15) Juriquilla, Querétaro, QRO CP 76230 Tel. +52 (442) 238-1064 Email ataulfo(a)unam.mx<mailto:ataulfo@unam.mx> atanez(a)gmail.com<mailto:atanez@gmail.com> Skype atanez1

May 24, 2018

Post-baccalaureate research position in neuronal mechanism of episodic memory at Max Planck Florida Institute for Neuroscience

by Yingxue.Wang＠mpfi.org

*** Apologies for cross posting*** Post-Baccalaureate Research Experience Summary The Wang Lab at the Max Planck Florida Institute for Neuroscience (links to website<https://yingxuewang.org/>) is inviting applications for the post-baccalaureate research program. This one-year program provides research experience and exposure to students who have graduated from college and are planning to apply to graduate school. We seek highly motivated and independent individuals to join our effort focused on the neuronal mechanisms of learning and episodic memory. Essential Duties & Responsibilities The Wang Lab investigates the circuit underpinnings of episodic memory. In particular, we intend to isolate the hippocampal neuronal activities that are independent of sensory inputs and potentially represent memory traces. We seek to understand how elements of the hippocampal circuit cooperate to generate the internally generated neuronal activities and support the formation and retrieval of memory. Our investigation employs a combination of in vivo electrophysiological, advanced two-photon imaging, optogenetic, and pharmacological approaches, and couples experiments with computational modeling. We encourage applications from candidates who are interested in applying multidisciplinary approaches to examine circuit mechanisms of memory. Education and/or Experience The ideal candidates should have an upcoming or recent bachelor degree in neuroscience or related fields. Candidates holding a degree in electrical engineering, biomedical engineering, computer science, or physics and interested in understanding the neuronal mechanisms of learning and memory are also welcome to apply. Previous experience with in vivo electrophysiology and/or two-photon imaging, quantitative data analysis and computer programming is preferred. Excellent communication skills and an ability to work well in a team are required. Additional Information Max Planck Florida Institute for Neuroscience is part of the Jupiter Neuroscience Research Campus that also includes the Scripps Research Institute Florida and Florida Atlantic University. It provides a flourishing interdisciplinary research environment for neuroscience. Interested candidates are encouraged to send the following documents to Dr. Yingxue Wang (email address: Yingxue.Wang(a)mpfi.org<mailto:Yingxue.Wang@mpfi.org>): - Curriculum vitae - A statement of motivation and interests (1-2 pages) - Academic certificates and transcripts - The names and contact information of two references Please find more details about this program at https://www.maxplanckflorida.org/education/training-programs/pre/. The official application deadline has already passed. Please address the request directly to the above email address. Best regards, Yingxue Wang Research Group Leader Max Planck Florida Institute for Neuroscience

May 23, 2018

Postdoctoral Position in Brain-Computer Interfaces

by Tomislav Milekovic

The research group Dr. Tomislav Milekovic at the University of Geneva is offering a postdoctoral position financed by the Wyss Center for Bio and Neuroengineering and the Swiss National Science Foundation to work on restoring communication and independence of people with tetraplegia and locked-in syndrome using brain-computer interfaces. The successful applicant will work to develop and advance brain-computer interfaces based on electroencephalography (EEG) and intracortical microelectrode array recordings. The ideal candidate will have: 1. Experience in assembling and maintaining brain-computer interface systems 2. Leading brain-computer interface experiments with human or animal subjects 3. Experience in the quantitative analysis of electrophysiological neural signals (EEG, ECoG, LFP, spikes) 4. Background in computational/theoretical neuroscience, physics or mathematics 5. Experience in developing and using neural decoders 6. Experience in C/C++ software development The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of neuroscience, engineering and prosthetics. They will collaborate with several labs of the Campus Biotech in Geneva, and be strongly supported by the Wyss center for Bio and Neuroengineering led by Prof. John Donoghue. University of Geneva provides state-of-the-art facilities is one of the leading technical universities worldwide. In addition, University of Geneva offers competitive postdoctoral salaries ranking among the highest in the world. Applications including a CV and the statement of research interests should be sent to tomislav.milekovic(a)unige.ch<mailto:tomislav.milekovic@unige.ch>.

May 23, 2018

Postdoc position in neuronal mechanism of episodic memory at Max Planck Florida Institute for Neuroscience

by Yingxue.Wang＠mpfi.org

*** Apologies for cross posting*** Postdoctoral Fellow Summary The Wang Lab at the Max Planck Florida Institute for Neuroscience (links to website<https://yingxuewang.org/>) is inviting applications for postdoctoral positions. Our group seeks highly motivated and independent individuals to join our effort focused on the neuronal mechanisms of learning and episodic memory. Essential Duties & Responsibilities The Wang Lab investigates the circuit underpinnings of episodic memory. In particular, we intend to isolate the hippocampal neuronal activities that are independent of sensory inputs and potentially represent memory traces. We seek to understand how elements of the hippocampal circuit cooperate to generate the internally generated neuronal activities and support the formation and retrieval of memory. Our investigation employs a combination of in vivo electrophysiological, advanced two-photon imaging, optogenetic, and pharmacological approaches, and couples experiments with computational modeling. We encourage applications from candidates who are interested in applying multidisciplinary approaches to examine circuit mechanisms of memory. Education and/or Experience The ideal candidates should have an upcoming or recent Ph.D. or MD/Ph.D. in neuroscience or related fields. Candidates holding a Ph.D. in electrical engineering, biomedical engineering, computer science, or physics and interested in understanding the neuronal mechanisms of learning and memory are also welcome to apply. Previous experience with in vivo electrophysiology and/or two-photon imaging, quantitative data analysis and computer programming is highly preferred. Excellent communication skills and an ability to work well in a team are required. Additional Information Max Planck Florida Institute for Neuroscience is part of the Jupiter Neuroscience Research Campus that also includes the Scripps Research Institute Florida and Florida Atlantic University. It provides a flourishing interdisciplinary research environment for neuroscience. We offer outstanding benefits and salary compensation above the NIH scales. Interested candidates are encouraged to send the following documents to Dr. Yingxue Wang (email address: Yingxue.Wang(a)mpfi.org<mailto:Yingxue.Wang@mpfi.org>): - Curriculum vitae with a list of publications - A statement of research experiences and interests (1-2 pages) - The names and contact information of three references Personal contact can be addressed to the above email address prior to the application.

May 23, 2018

PhD studentships in Neuromorphic computing and Data Science

by Schmuker, Michael

We are offering a several PhD studentships in the Biocomputation group at the University of Hertfordshire. Details here: https://www.herts.ac.uk/__data/assets/pdf_file/0007/209365/Data-Science-and… Our group translates processes from the brain into algorithms for efficient computing. A particular area of interest is Neural Data Science, where we extract information from complex data sets obtained in neuroscience. Our goal is to shed light on how the brain is processing information and to cast this knowledge into efficient algorithms for pattern recognition and signal processing. We implement such algorithms by leveraging so-called neuromorphic hardware, i.e., specialised computer chips that mimic the massively parallel architecture of the brain, which greatly accelerate brain-inspired neural computing. We are looking for highly motivated candidates with a keen interest in squeezing every bit of information out of complex data sets, to understand how the brain copes with the relentless onslaught of sensory information, and to implement those aspects on a new computer architecture. A diverse choice of topics is available, including but not limited to: • Data mining in neuronal imaging using matrix factorisation and machine learning • Brain-inspired pattern recognition using supervised and unsupervised learning • Olfaction-inspired signal processing and odor recognition for electronic gas sensors It is also possible to suggest topics. Candidates should have excellent programming skills and also some experience in data mining. Previous exposure to low-level hardware programming (e.g. microcontrollers, GPUs) and/or computer engineering is a plus. We collaborate with world-leading neuroscience labs in the UK and abroad to investigate how the brain is processing dynamic sensory information. As a member of the Human Brain Project we pioneer the use of neuromorphic hardware for Data Science. This guarantees a stimulating research environment for a project that aims not only at generating theoretical insight but also validating the findings with experimental scientists and pursuing applications in the real world. Successful candidates are eligible for a research studentship award from the University (approximately GBP 14,777 per annum bursary plus the payment of the standard UK student fees). Applicants from outside the UK or EU are eligible, but will have to pay half of the overseas fees out of their bursary. Please contact Principal Investigator Dr. Michael Schmuker prior to application to scope out a project proposal that is tailored to your background, via email: m.schmuker(a)herts.ac.uk. More info and instructions how to apply are available at https://www.herts.ac.uk/study/schools-of- study/computer-science/our-research/the-phd-programme-in-computer-science . The next short-listing process for studentship applications will begin on 25 June 2018. — Dr Michael Schmuker AFHEA Reader in Data Science Biocomputation Group University of Hertfordshire http://biomachinelearning.net

May 23, 2018