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PhD position: model-based analysis of atypical perception in autism
by Dominik Endres Jan. 24, 2019

Jan. 24, 2019

*Project title*: Atypical Perception in Autism-Spectrum Disorders: Model-based Analysis of Functional and MR-Spectroscopy Data for the Investigation of Deviant Perceptual Processes *What we offer*: A PhD student position in an interdisciplinary, DFG-funded research project, involving a combination of functional imaging, Psychiatry, and computational modeling. The position is part-time (65 % of regular working hours) with salary and benefits commensurate with a public service position in the state Hesse, Germany (TV-H E 13). An association with the DFG-RTG 2271 ‘breaking expectations’ or the CRC 135 ‘Cardinal Mechanisms of Perception’ is possible and encouraged. *What we expect*: a qualified degree in Neuroscience, Psychology, Cognitive Science, Computer Science, engineering or Physics (Master, Diploma, or comparable) as well as demonstrable programming experience in a high-level language, e.g. Python or Matlab. We expect you to be interested in the topic of the project (to be documented in a motivation letter (1 page max), in which you may refer to prior experiences, for instance, a thematically pertinent thesis, student research assistant positions, etc.), or quantitative modeling. We also expect prior exposure to machine learning and Bayesian statistics. *Application deadline*: 15.02.2019 Feel free to contact Prof. Dr. Dominik Endres at mailto:dominik.endres@uni- marburg.de for more information. The official advert can be found at https://www.uni-marburg.de/de/universitaet/administration/verwaltung/ dezernat2/personalabteilung/bewerber/stellen/wissenschaftliche-stellen/ fb04-0001-wmz-150219-englisch.pdf -- Prof. Dr. Dominik Endres AE Theoretische Neurowissenschaft Allgemeine und Biologische Psychologie FB Psychologie, Gutenbergstr 18, 35032 Marburg, Germany Tel. +49-(0)6421-28-23818

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Call for Paper: Scipy 2019 / Cognitive Science & Neuroscience
by Nicolas Rougier Jan. 24, 2019

Jan. 24, 2019

Dear all, We’re thrilled to announce the call for paper for the SciPy (Scientific Python) 2019 conference is open. You’ll find relevant information below. Olivia Guest & Nicolas Rougier Co-chairs for the Cognitive Science & Neuroscience symposia --- When: July 8, 2019 to July 14, 2019 (main conference from July 10 to July 12) Where: Austin, Texas, USA Who: The annual SciPy Conference brings together over 800 participants from industry, academia, and government to showcase their latest projects, learn from skilled users and developers, and collaborate on code development. What: short summary (~100 words) + abstract (~500 words) Deadline: February 10, 2019 Conference Website: https://www.scipy2019.scipy.org/ Submission Website: https://easychair.org/conferences/?conf=scipy2019

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Fwd: Chief technologist position at Columbia University Medical Center
by Shivakeshavan Ratnadurai Giridharan Jan. 22, 2019

Jan. 22, 2019

Sent on behalf of Jason B. Carmel, CUMC. Please see message below. Thanks, Shiva _____________________________________________ We are seeking a Chief Technologist for the Movement Recovery Laboratory at Columbia University Medical Center. The successful candidate will have strong programming and neuroscience experience with expertise in signal processing and analysis of large data sets. The position is ideal for a person who likes to develop and optimize neuroscience tools. He or she will be responsible for creating and maintaining the systems for cutting-edge neuroscience research that seeks to restore movement after paralyzing injury. The Laboratory uses rodent models of disease to improve understanding of movement control, to test how electrical stimulation can strengthen neural circuits spared by injury. The laboratory uses a combination of behavior, physiology, and anatomy techniques in rats. Each of these modalities has a suite of tools that need to be made more quantitative, efficient, and precise. 1. Behavior: We quantify reaching, walking, and food manipulation using robotics and computer vision. The Chief Technologist will be charged with creating protocols and algorithms to efficiently record and analyze these movements, including reaching, stepping, and manipulation. 2. Physiology: We record and stimulate both motor cortex and the spinal cord. The technologist will help develop protocols for multichannel stimulation and for analysis of nerve and muscle signals. For example, we have created a graphical tool for real-time visualization of EMG responses to motor cortex stimulation. 3. Anatomy: We trace connections between the brain and the spinal cord using a combination of anterograde and retrograde neural tracers. The technologist will help quantify the number of labeled neurons and axons using computer vision and the results are placed into a 3D framework. The chief technologist will be expected to work independently to establish protocols and to help test them. This research work will require pro-active and interdisciplinary teamwork. The candidate should hold a PhD (or equivalent) in neuroscience, biomedical engineering, computer science, or a related field. Software design and programming skills in MATLAB (or equivalent scientific software) are critical. Knowledge of machine learning, computer vision, and source localization are other appealing skills. Most important is the ability to find innovative and practical solutions to technical problems. The position has a starting salary of $55,000 to $70,000, depending on experience, and includes full medical, dental, retirement, and other benefits. The position is supported by NIH, New York State, and private foundation grants. Columbia University is located in New York City, has a world-class faculty in neuroscience and neurology. Abundant learning opportunities include lab meetings, seminar series, journal clubs and university lectures. There are also many opportunities for collaboration with other neuroscientists, laboratories creating new technologies, and expert clinicians. Email your CV and cover letter (or inquiries) to Jason B. Carmel, MD, PhD at jason.carmel(a)columbia.edu. Please include “Chief Technologist” in the subject line. Columbia University takes Affirmative Action to ensure equal opportunity.

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PhD Studentship, University of Osnabrueck- Research Training School on Computaional Cognition
by Prof. Dr. Gordon Pipa Jan. 22, 2019

Jan. 22, 2019

The RTG 2340 "Computational Cognition", funded by the German Research Foundation (DFG), invites applications for a PhD Candidate (Salary level E 13 TV-L, 65 %) to be filled as soon as possible for a period of 3 years. The RTG Computational Cognition aims at reintegrating Cognitive Science and Artificial Intelligence. PhD students of the RTG will be educated in both subjects in order to combine the findings of these fields and thus to get a better understanding of human and machine intelligence. Research fields involved in the RTG are Neuroinformatics, Neurobiopsychology, Bio-Inspired Computer Vision, Knowledge- Based Systems, Cognitive Natural Language Processing & Communication, Cognitive Modeling, Artificial Intelligence, Psycho/Neurolinguistics, Computational Linguistics and Cognitive Computing. The RTG will focus on the integration of two research fields. Detailed information on the core areas of the offered PhD projects can be obtained from the spokesmen of the RTG, Prof. Dr. Gordon Pipa (gpipa(a)uni-osnabrueck.de) and Prof. Dr. Peter König (pkoenig@uniosnabrueck. de). The RTG will be incorporated into the Cognitive Science PhD program founded in 2002. PhD students of the RTG will take advantage of an interdisciplinary environment, which nevertheless focuses on a common research topic and offers a broad range of methodological synergies between the projects. Required Qualifications: Applicants are expected to have an academic degree (Master/Diploma), experience in at least one of the domains listed above, proven experience in interdisciplinary work as well as a good command of the English language. Osnabrück University has been certified as a family-friendly university committed to helping working/studying parents and carers balance their family and work life. The university aspires to ensure equal opportunities for men and women and strives to work towards a gender balance in schools or departments where new appointments are made. If equally qualified candidates apply, preference will be given to those with special needs. Applications with the usual documentation should be submitted by e-mail in a single PDF file to the director of the Institute of Cognitive Science, Prof. Dr. Kai-Uwe Kühnberger (kkuehnbe(a)uni-osnabrueck.de) with a cc to office(a)ikw.uniosnabrueck. de no later than February 12, 2019. ---------------------------------------------------------------------------- ----------- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 50/218 University of Osnabrueck Wachsbleiche 27, 49090 Osnabrück, Germany tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: gpipa(a)uos.de webpage: http://www.ni.uos.de research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act linkedin: https://de.linkedin.com/in/gordon-pipa-47771539 Personal Assistent and Secretary of the Neuroinformatic lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges(a)uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS -----Ursprüngliche Nachricht----- Von: Prof. Dr. Gordon Pipa [mailto:gpipa@uos.de] Gesendet: Montag, 30. Juli 2018 11:32 An: neuroinfo(a)incf.org; comp-neuro(a)neuroinformatics.be; visionlist(a)visionscience.com; eeglab(a)sccn.ucsd.edu Betreff: PhD Studentship, University of Osnabrueck- Research Training School on Computaional Cognition We are looking for 9 PhD candidate for Research Training School funded by the DFG (German science foundation) on "Computational Cognition". The positions are to be filled by October 1, 2018 for a period of 3 years. More information: http://computational-cognition.eu/ https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote _detail/109_ikw_phd_candidates.html The RTG Computational Cognition aims at reintegrating Cognitive Science and Artificial Intelligence. PhD students of the RTG will be educated in both subjects in order to combine the findings of these fields and thus to get a better understanding of human and machine intelligence. Research fields involved in the RTG are Neuroinformatics, Neurobiopsychology, Bio-Inspired Computer Vision, Knowledge-Based Systems, Cognitive Natural Language Processing & Communication, Cognitive Modeling, Artificial Intelligence, Psycho/Neurolinguistics, Computational Linguistics and Cognitive Computing. The RTG will focus on the integration of two research fields and has a focus on machine learning, deep learning and dynamical systems, computer vision combined with experimental methods including EEG and Eye tracking. Detailed information on the core areas of the offered PhD projects can be obtained from the spokesmen of the RTG, Prof. Dr. Gordon Pipa (gpipa(a)uni-osnabrueck.de) and Prof. Dr. Peter König (pkoenig(a)uni-osnabrueck.de) The RTG will be incorporated into the Cognitive Science PhD program founded in 2002. PhD students of the RTG will take advantage of an interdisciplinary environment, which nevertheless focuses on a common research topic and offers a broad range of methodological synergies between the projects. Required Qualifications: Applicants are expected to have an academic degree (Master/Diploma), experience in at least one of the domains listed above, proven experience in interdisciplinary work as well as a good command of the English language. Osnabrück University has been certified as a family-friendly university committed to helping working/studying parents and carers balance their family and work life. The university aspires to ensure equal opportunities for men and women and strives to work towards a gender balance in schools or departments where new appointments are made. If equally qualified candidates apply, preference will be given to those with special needs. Applications with the usual documentation should be submitted by e-mail in a single PDF file to the director of the Institute of Cognitive Science, Prof. Dr. Kai-Uwe Kühnberger (kkuehnbe(a)uni-osnabrueck.de) with a cc to office(a)ikw.uni-osnabrueck.de no later than August 23, 2018.We will consider applicants who have: Best Gordon -------------------------------------------------------------------------- ------------- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 50/218 University of Osnabrueck Wachsbleiche 27, 49090 Osnabrück, Germany tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: gpipa(a)uos.de webpage: http://www.ni.uos.de research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act linkedin: https://de.linkedin.com/in/gordon-pipa-47771539 Personal Assistent and Secretary of the Neuroinformatic lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges(a)uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS

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FENS SfN Summer School 2019 on brain reading and writing: new perspectives of neurotechnology
by FENS Schools Jan. 22, 2019

Jan. 22, 2019

Dear Colleagues, This year's FENS-SfN neuroscience summer school on *Brain reading and writing: new perspectives of neurotechnology <https://www.fens.org/Training/FENS-Schools/Summer-School-2019/> *will take place on 2-8 June in Bertinoro, Italy. We would like to invite you to have a look at the programme below. *Scientific chairs* *Dr. Pieter Roelfsema, Netherlands Institute for Neuroscience, The Netherlands <https://nin.nl/research/researchgroups/roelfsema-group/>* *Dr. <http://motorlab.neurobio.pitt.edu/schwartz.php>Andrew B. Schwartz, Department of Neurobiology, School of Medicine, University of Pittsburgh,USA <http://motorlab.neurobio.pitt.edu/schwartz.php>* *School Programme Description* During this school, we will discuss the intracortical methods being developed for reading from, and writing to, the brain. A set of international lectures will provide an overview of the emerging therapeutic applications made possible with this technology. In addition to being exposed to new hardware, students will learn about, and apply new computational approaches to facilitate brain-device communication. We will discuss some of the interesting ethical ramifications of a neuro-technologically assisted future. *Faculty members* Matteo Carandini <https://www.carandinilab.net/>, Cortexlab, UCL, UK Xinyan Tracy Cui <https://www.engineering.pitt.edu/cui/>, Department of Bioengineering, University of Pittsburgh, USA Tim Harris <https://www.janelia.org/lab/harris-lab>, Howard Hughes Medical Institute, Janelia Research Campus, USA Karin Jongsma <https://www.umcutrecht.nl/en/Research/Researchers/Jongsma-Karin-KR>, Julius Center, University Medical Center Utrecht, The Netherlands Jason Kerr <https://www.caesar.de/en/our-research/behavior-and-brain-organization/direc…>, Department of Behavior and Brain Organization, Research Center caesar, Bonn, Germany Stephanie Lacour <https://cnp.epfl.ch/Lacourlab>, Center for Neuroprosthetics, EPFL, Switzerland Antonio Regalado <https://www.technologyreview.com/profile/antonio-regalado/>, MIT Technology Review, USA José-Alain Sahel <http://www.mirm.pitt.edu/our-people/faculty-staff-bios/jose-alain-sahel-md/>, Department of Ophthalmology, University of Pittsburgh School of Medicine, USA Eilon Vaadia <https://elsc.huji.ac.il/index.php?q=vaadia/home>, Edmond and Lily Safra Center for Brain Sciences, Israel Anna Wang <http://www.ziint.zju.edu.cn/index.php/Index/index.html> Roe <http://www.ziint.zju.edu.cn/index.php/Index/index.html>, Zhejiang University Interdisciplinary Institute of Neuroscience and Technology (ZIINT), China Byron Yu <https://users.ece.cmu.edu/~byronyu/>, Electrical & Computer Engineering and Biomedical Engineering, Carnegie Mellon University, USA Application form: http://www.fens.org/Training/FENS-Schools/Summer-School-2019/Application-Fo… Deadline: 4 February 2019 Further information about the school and available stipends can be found here <https://www.fens.org/Training/FENS-Schools/Summer-School-2019/>. Feel free to share this enriching opportunity with your professional network. Best regards, FENS Schools Administration

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Error-driven learning at the Groningen Spring School on Cognitive Modeling
by Jelmer Borst Jan. 22, 2019

Jan. 22, 2019

Update: New tutorial on Error-driven learning Fourth Groningen Spring School on Cognitive Modeling – ACT-R, Nengo, PRIMs, & Error-driven learning– Date: April 8-12, 2019 Location: Groningen, the Netherlands Fee: € 250 (late fee after February 15 will be € 300) More information and registration: www.cognitive-modeling.com/springschool <http://www.cognitive-modeling.com/springschool> As briefly announced earlier, this year we will be offering a new tutorial on error-driven learning during the spring school. Error-driven learning (also called discrimination learning) allows to simulate the time course of learning. It can be applied for all domains in cognitive science, but is especially useful for modeling language processing and language learning. More information about this simple and elegant approach can now be found on our website <http://www.cognitive-modeling.com/springschool/home/error-driven-learning/>. As in previous years, the Spring School will also cover the ACT-R, Nengo, and PRIMs paradigms. A preliminary version of the program can now be found on our website. The early registration deadline ends on February 15, so make sure to sign up before then. Please let us know if you have any questions or check out our website for more information. Best regards, the spring school team Please feel free to forward the information to anyone who might be interested in the Spring School. ______________ Error-driven learning Teachers: Jacolien van Rij and Dorothée Hoppe (University of Groningen) Error-driven learning (also called discrimination learning) allows to simulate the time course of learning. It is based on the Rescorla-Wagner model (Rescorla & Wagner, 1972) for animal cognition, which assumes that learning is driven by expectation error, instead of behaviorist association (Rescorla, 1988). The equations formulated by Rescorla and Wagner have been used to investigate different aspects of cognition, including language acquisition (e.g., Hsu, Chater, and Vitányi, 2011; St. Clair, Monaghan, and Ramscar, 2009), second language learning (Ellis, 2006), and reading of complex words (Baayen et al, 2011). Although error-driven learning can be applied for all domains in cognitive science, in this course we will focus on how it could be used for modeling language processing and language learning. ACT-R Teachers: Jelmer Borst & Katja Mehlhorn (University of Groningen) Website: http://act-r.psy.cmu.edu <http://act-r.psy.cmu.edu/>. ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI. Nengo Teacher: Terry Stewart (University of Waterloo) Website: http://www.nengo.ca <http://www.nengo.ca/> Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data. PRIMs Teacher: Niels Taatgen (University of Groningen) Website: http://www.ai.rug.nl/~niels/actransfer.html <http://www.ai.rug.nl/~niels/actransfer.html> How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction.

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PhD positions at the Univ. of Leicester (for UK/EU candidates only)
by Quian Quiroga, Rodrigo (Prof.) Jan. 22, 2019

Jan. 22, 2019

Fully Funded PhD Studentships (for UK/EU candidates only) Centre for Systems Neuroscience, University of Leicester, UK. www.le.ac.uk/csn The Centre for Systems Neuroscience at the University of Leicester, UK, offers a fully funded (stipend plus fees) PhD position for UK/EU candidates, to study single cell recordings in humans – performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga Nature Reviews Neuroscience 2012), which are involved in declarative memory functions. For more details see: www.le.ac.uk/csn Successful candidates will contribute to performing recordings with patients in collaborating hospitals and the analysis of the data to investigate the role of these neurons in memory. They should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. They should be able to work both independently and as part of a research team within the Centre for System Neuroscience at Leicester and with our external collaborators. Informal enquiries are welcome and should be made to Paula Warrington, Research Centre Manager, csn(a)le.ac.uk. Interested candidates should send their curriculum vitae and a brief description of their scientific interests to Paula Warrington (csn(a)le.ac.uk) The closing date for the applications is 1st March 2019. Interviews are anticipated to take place on the 8th March 2019. Cheers, Rodrigo Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

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PhD position in vision rehabilitation and multi-data modelling in Switzerland
by Paul Matusz Jan. 21, 2019

Jan. 21, 2019

Institute of Information Systems at HES-SO in Valais is looking for 1 PhD student interested in (eye) health and neuroscience, and modelling relationships between sensory/ perceptual - brain - cognitive processes. Our project aims to assess the potential of virtual reality games in the rehabilitation of the most common pediatric vision disorder - amblyopia ("lazy eye"). The recovery potential is assessed at the level of both the usual, basic vision skills (visual acuity or 3D vision) and functional "visual" skills, like age-appropriate literacy skills. The project likewise aims to establish the role therein of different selective attention systems (visual, multisensory), as studied with rigorous experimental paradigms combined with the advantages of EEG and multi-variate EEG/ERP analyses (eg. Murray et al. 2008 BTOP; Tivadar & Murray 2018 ORM tinyurl.com/y8uxonnf ). The project is well-suited for students interested in modelling multi-modal clinical and/or pediatric data and change in the areas of medicine, neuroscience and/or cognition. More details here: https://drive.google.com/open?id=19Wj5TjIk_Rid9js30g2lOhuhq01x113g . Paul (Pawel) Matusz, Ph.D. Junior Group Leader Institute of Information Systems, HES-SO – Radiology, University Hospital Centre & University of Lausanne, Sierre – Lausanne, Switzerland Adjunct Assistant Professor Hearing & Speech Sciences, Vanderbilt University, Nashville, TN, USA https://groupforrealworldneuroscience.wordpress.com/ https://twitter.com/paweljmatusz +41 213141547

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Post-doctoral position Memory Dynamics Lab, Donders Institute Nijmegen
by Francesco Battaglia Jan. 21, 2019

Jan. 21, 2019

One post-doctoral position is available for a max. duration of 4 years (preferred start: first half 2019) , funded by a Dutch NWO VIDI grant to Lisa Genzel. The researcher will carry out large scale ensemble electrophysiology to research the neural basis of memory and memory consolidation. Extensive experience (e.g. at the PhD level) with ensemble recording (tetrode recording, silicon probes) and behavioral approaches would be considered a plus. The researchers will be embedded in the Memory Dynamics Lab (co-leaders, FP Battaglia and L Genzel), a rapidly growing group active in the exploration of mechanisms of memory, and will have access to large datasets from behavioral neurophysiology experiments (large scale ensemble ) from the group, currently further funded by a Marie Sklodowska Curie “M-GATE” Doctoral Network coordinated by FP Battaglia, a NWO VIDI grant to L Genzel and other public and private grants, and counting eight core members active in experimental and computational work (to be increase to 12 in 2019). To apply, please send a CV, a letter of motivation (2 page max. length) and the name and contact info for two possible referees to l.genzel(a)donders.ru.nl Applications reaching us before February, 14th 2019 will be given full consideration.

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PhD position, Computational models of task dependent object-based visual attention
by Obermayer, Klaus, Prof. Dr. Jan. 21, 2019

Jan. 21, 2019

Dear moderator, would you be so kind to post the job offer below on the mailing list? Thank you very much! Best regards Klaus Obermayer ------------------------------------------------------------------------------------------------------------------------------- Research Assistant (PhD position) Neural Information Processing Group Technische Universität Berlin Berlin, Germany Computational models of task dependent object-based visual attention Salary level: TV-L 13 (100%) Duration: 3 years Starting date: October 1st, 2019 Application deadline: February 15th, 2019 Working field The successful candidate will explore the hypothesis that object-level attentional units are essential mid-level factors which guide human eye-movements in visual scene analysis. Based on eye-fixation data from visual search tasks she/he will first build computational models to emulate the measured fixation sequences, to quantify the influence of different low- and high-level visual features, and to characterize the influence of task-driven changes in object-based attention processes. In a second step, plausible models will be integrated as "attentional modules" into a computer vision system for visual scene analysis and will be evaluated in terms of task success and the number of computations involved. Potential achievement of the project is an efficient real-time analysis of dynamic visual scenes. The position is part of the new DFG-funded cross-disciplinary research Cluster "Science of Intelligence" (http://www.scienceofintelligence.de/) The successful candidate will be enrolled in the Cluster's doctoral program and is expected to actively engage in the Cluster's educational and research activities. Qualifications Applicants must hold a Master degree in Computational Neuroscience, Computer Science, Physics, Mathematics, or related fields. Applicants should have very good programming skills, a very good command of the English language, a solid mathematical background, competence in machine learning, and a strong interest in visual perception. How to apply: Please upload your application via the link www.scienceofintelligence.de/call-for-applications/open-positions/doctoral-…) and follow instructions. Applications should include: motivation letter, curriculum vitae, transcripts of records (for both BSc and MSc), copies of degree certificates (BSc, MSc), abstracts of Bachelor-, Master-thesis, list of publications and one selected manuscript (if applicable), two names of qualified persons who are willing to provide references, and any documents you feel may help us assess your competence.

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