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The Cognitive and Systems Neuroscience Group at the University of Amsterdam is seeking a highly qualified and motivated candidate for a PhD position in Computational Neuroscience. The position falls under the Horizon Health Europe Consortium grant “Virtual Brain Twins for Personalized Treatment of Psychiatric Disorders”. This Consortium constitutes a large collaboration between different European institutions, aiming to develop personalized brain simulation software (“virtual brain twins”) to improve the diagnosis and treatment of schizophrenia. The main objective of this PhD project is to develop a biologically realistic computational model of the human brain, and use it to study alterations in brain activity associated with schizophrenia. Such model will make use of local neural mass models (developed by our Consortium partners) to simulate multiple brain areas, and will bring them together using structural connectivity data from human subjects. The model will be then used to explore the effects of schizophrenia-related alterations in brain dynamics and function, and to derive patient-specific virtual brain simulations to improve diagnosis and explore treatments in collaboration with clinical Consortium partners. The project will be supervised by Dr. Jorge Mejias, principal investigator in computational neuroscience and leader of the Dutch component of the Consortium, and by Prof. Dr. Cyriel Pennartz, head of the Cognitive and Systems Neuroscience Group. You will closely collaborate with other Consortium members, particularly with the team of Prof. Viktor Jirsa at Aix-Marseille University, and will also benefit from interactions with local colleagues including other theoretical, computational and experimental neuroscientists at the Cognitive and Systems Neuroscience Group. For more information and to apply, visit the following link: https://vacatures.uva.nl/UvA/job/PhD-position-in-Computational-Neuroscience/786924102/
We are looking for a postdoctoral researcher to study the effects of neuromodulators in biologically realistic networks and learning tasks in the Vidi project 'Top-down neuromodulation and bottom-up network computation, a computational study'. You will use cellular and behavioural data gathered by our department over the previous five years on dopamine, acetylcholine and serotonin in mouse barrel cortex, to bridge the gap between single cell, network and behavioural effects. The aim of this project is to explain the effects of neuromodulation on task performance in biologically realistic spiking recurrent neural networks (SRNNs). You will use biologically realistic learning frameworks, such as force learning, to study how network structure influences task performance. You will use existing open source data to train a SRNN on a pole detection task (for rodents using their whiskers) and incorporate realistic network properties of the (barrel) cortex based on our lab's measurements. Next, you will incorporate the cellular effects of dopamine, acetylcholine and serotonin that we have measured into the network, and investigate their effects on task performance. In particular, you will research the effects of biologically realistic network properties (balance between excitation and inhibition and the resulting chaotic activity, non-linear neuronal input-output relations, patterns in connectivity, Dale's law) and incorporate known neuron and network effects. You will build on the single cell data, network models and analysis methods available in our group, and your results will be incorporated into our group's further research to develop and validate efficient coding models of (somatosensory) perception. We are therefore looking for a team player who can collaborate well with the other group members, and is willing to both learn from them and share their knowledge.
The Grossman Center for Quantitative Biology and Human Behavior at the University of Chicago seeks outstanding applicants for multiple postdoctoral positions in computational and theoretical neuroscience.
A two-year postdoctoral position in computational neuroscience and neural coding is open to investigate the role of hippocampal-dependent memory function in visual perceptual learning. The postdoc will work in Eugenio Piasini's group at the International School for Advanced Studies (SISSA), in close collaboration with Manuela Allegra at the Italian National Research Council (CNR).
A postdoctoral position is available for a project with Matthew Chalk (https://matthewjchalk.wixsite.com/mysite), at the Vision Institute (www.institut-vision.org/en/), within the Sorbonne Université, in Paris, France. The project will involve investigating principles of neural coding in the retina. Specifically, the project will investigate how different coding objectives, such as optimising efficiency or encoding predictive information, can explain the diverse ways that neurons in the retina respond to visual stimulation. The project will extend previous work by Chalk et al. to develop a general theory of optimal neural coding (Chalk et al. PNAS 2018, Chalk et al. 2022 biorxiv). For this, we will use a range of computational techniques including gaussian processes (Goldin et al. 2023 PNAS) and information theory. The project is part of an exciting interdisciplinary collaboration between theorists and experimentalists at the Vision Institute (Olivier Marre; http://oliviermarre.free.fr), and Thomas Euler (https://eulerlab.de) and Philip Berens (https://www.eye-tuebingen.de/berenslab/) at Tuebingen University. The Vision Institute is a stimulating environment for brain research. It brings together in a single building researchers, clinicians and industrial partners in order to discover, test and develop treatments and technological innovations for the benefit of visually impaired patients. The candidate will have a PhD with a strong, quantitative background (ideally in fields such as machine learning, theoretical neuroscience or physics). They will have a good grasp of oral and written English (French is not required). Most of all, they will enjoy tackling new problems with enthusiasm and as part of a team. The position is funded for three years. Applications should include a CV, a statement of research interests (~ 1 page), and two letters of recommendation. Electronic submissions in pdf-format are preferred and should be sent to Matthew Chalk (matthewjchalk@gmail.com). Feel free to ask any informal questions about the position if you are interested.
I will be looking for students through the Cognition and Perception program at NYU: https://as.nyu.edu/departments/psychology/graduate/phd-cognition-perception.html Projects will fit into the research descriptions provided here: https://lindsay-lab.github.io/research/
The Lindsay Lab is looking for a post-doc to work on either of the first two research directions listed here: https://lindsay-lab.github.io/research/ (i.e. modeling attention with artificial neural networks or using ANNs to test methods from neuroscience). The post is funded for two years.
We are looking for a postdoctoral researcher to work on the Vidi project 'Top-down neuromodulation and bottom-up network computation, a computational study' and study the effects of neuromodulators in balanced networks. You will use cellular and behavioural data on the effects of dopamine, acetylcholine and serotonin in mouse barrel cortex gathered by our department over the past five years, to bridge the gap between single cell, network and behavioural effects. You will use the balanced network framework to study network activity under neuromodulation. In order to do this, you will develop a balanced network description of the barrel cortex, with realistic barrel cortex properties (see https://doi.org/10.1007/s12021-022-09576-5). Next, you will incorporate the cellular effects of dopamine, acetylcholine and serotonin that we have measured over the previous years (see https://doi.org/10.1093/gigascience/giy147 and https://doi.org/10.1101/2022.01.12.476007) into the network, and investigate their effects on overall network activity and behaviour. More particularly, through simulations and analytical derivations, you will research the effects of neuromodulators on the stability of the balanced state, synchrony, regularity and chaos. You will build on the single cell data, models and analysis methods available in our group, and your results will be incorporated into our group's further research to develop and validate machine learning and efficient coding models of (somatosensory) perception. We are therefore looking for a team player who can work well with our other group members and is willing to both learn from them and share their knowledge.
A new NIH-funded collaboration between David Prober (Caltech), Thai Truong (USC) and Geoff Goodhill (Washington University in St Louis) aims to gain new insight into the neural circuits underlying sleep, through a combination of whole-brain neural recordings in zebrafish and theoretical/computational modeling. The Goodhill lab is now looking for 2 postdocs for the modeling and computational analysis components. Using novel 2-photon imaging technologies Prober and Truong will record from the entire larval zebrafish brain at single-neuron resolution continuously for long periods of time, examining neural circuit activity during normal day-night cycles and in response to genetic and pharmacological perturbations. The Goodhill lab will analyze the resulting huge datasets using a variety of sophisticated computational approaches, and use these results to build new theoretical models that reveal how neural circuits interact to govern sleep. Theoretical and experimental work will be intimately linked.
We are interested in understanding how the basal ganglia and the cerebellum interact during a sensori-motor task. To this end we use both experimental data (multiunit activity and behavior) and computational models. On one hand we will record multiunit neuronal activity in the cerebellum and basal ganglia while animals perform a motor task. On the other hand we will use computational models to understand how activity in one brain region affects the representation of task related activity in the other area. More info: https://www.kth.se/profile/arvindku/page/postdoctoral-researcher-position
The Laboratory for Computational Neuroscience (Coen-Cagli lab) invites applications for a postdoctoral position at Albert Einstein College of Medicine (Einstein) in the Bronx, New York City. The position is available immediately, it is funded for two years through a NIH training grant to the Rose F. Kennedy IDDRC at Einstein, and targets eligible candidates interested in careers in the biomedical sciences focused on the neurobiological underpinnings of neurodevelopmental disorders associated with intellectual disability and autism. The candidate will have the opportunity learn and apply an integrated approach that leverages innovative experiments and computational modeling of perceptual grouping and segmentation developed by the Coen-Cagli lab, to test theories of sensory processing in autism, in collaboration with the Cognitive Neurophysiology Laboratory (Molholm lab) at Einstein.
The Computational Neuroscience lab directed by Dr. Wenhao Zhang at the University of Texas Southwestern Medical Center (www.zhang-cnl.org) is currently seeking up to two postdoctoral fellows to study cutting edge problems in computational neuroscience. Research topics include: 1). The neural circuit implementation of normative computation, e.g., Bayesian (causal) inference. 2). Dynamical analysis of recurrent neural circuit models. 3). Modern deep learning methods to solve neuroscience problems. Successful candidates are expected to play an active and independent role in one of our research topics. All projects are strongly encouraged to collaborate with experimental neuroscientists both in UT Southwestern as well as abroad. The initial appointment is for one year with the expectation of extension given satisfactory performance. UT Southwestern provides competitive salary and benefits packages.
The Computational Neuroscience lab directed by Dr. Wenhao Zhang at the University of Texas Southwestern Medical Center (www.zhang-cnl.org) is currently seeking up to two postdoctoral fellows to study cutting edge problems in computational neuroscience. Research topics include: 1). The neural circuit implementation of normative computation, e.g., Bayesian (causal) inference. 2). Dynamical analysis of recurrent neural circuit models. 3). Modern deep learning methods to solve neuroscience problems. Successful candidates are expected to play an active and independent role in one of our research topics. All projects are strongly encouraged to collaborate with experimental neuroscientists both in UT Southwestern as well as abroad. The initial appointment is for one year with the expectation of extension given satisfactory performance. UT Southwestern provides competitive salary and benefits packages.
Build stochastic computational/mathematical models of gene expression in dendritic neurons to try to understand how or if synapses can store information stably. Perform data analysis on longitudinal in vivo and in vitro imaging and electron microscopy data of synapse dynamics to compare to the models.
The neural dynamics and computation group of Dr. Chengcheng Huang at the University of Pittsburgh has a postdoctoral position available. The Huang group investigates the nervous system using computational modeling and mathematical analysis of neural networks. We develop theoretical approaches to understanding circuit dynamics and information processing in sensory systems. We are interested in how different task and stimulus contexts change neuronal responses and the implications on neural coding, with an emphasis on neural variability. Potential projects include 1) the functional roles of interneuron subtypes in sensory and associative cortex, 2) attentional modulation on information flow and 3) interareal communication with feedforward and feedback connections. The candidate will have the opportunity to work with our experimental collaborators at the University of Pittsburgh.
In this project, we will use computational modelling on real-world neurophysiological recordings in paediatric patients with status epilepticus. We will use quantitative EEG and model-based analysis to infer changes in synaptic pathophysiology during episodes of status epilepticus in order to identify ways in which to modify the current treatment protocols.
The Swartz Program for Theoretical Neuroscience at Yale University invites applications for up to two postdoctoral positions in Theoretical and Computational Neuroscience, with flexible start date in 2022. Competitive candidates include those with a strong quantitative background who wish to gain neuroscience research experience. We especially encourage candidates with an interest in collaborating directly with experimental neuroscientists. The candidates will be expected to perform theoretical/computational studies relevant to one or more laboratories of the Swartz Program at Yale and will be encouraged to participate in an expanding quantitative biology environment at Yale. More details here: https://neurojobs.sfn.org/job/31363/postdoctoral-swartz-fellowship-positions-in-theoretical-and-computational-neuroscience-at-yale/
3-year Ph.D. project, funded by la Caixa Foundation fellowship. Theme: Computational and neural bases of bilingualism. Goal: develop a model of bilingual development in the complementary learning systems framework. Direct link to position: https://finder.lacaixafellowships.org/finder?position=4739 Detailed Description: We seek a Ph.D. student with strong background (and masters) in a relevant domain (a cognitive, biological, or engineering field) and some experience with programming, data science, or computational modeling. The successful candidate will be involved in developing and computational models and/or running behavioral and neuroimaging studies, collecting and analyzing data, and disseminating the results in scientific conferences (presentations/posters) and peer-reviewed journals. The selected candidate will develop advanced technical and analytical skills and will have the opportunity to develop original experiments under the supervisors’ guidance. Applicants should demonstrate a keen interest in the key areas of cognitive neuroscience that are relevant for the research, coupled with strong computational skills (e.g., Python, Matlab, R). Experience with neuroscience techniques (e.g., MEG, EEG, MRI) and with analysis of neuroimaging data is desirable but not essential. A committed motivation to learning computational modelling and advanced analysis tools is a must, as well as the ability to acquire new skills and knowledge, and to work both independently and as part of a multidisciplinary team. A good command of English (the working language of the BCBL) is required; knowledge of Spanish and/or Basque is an advantage but not required. The candidate will enrol as a PhD student at the University of the Basque Country (UPV/EHU) and is expected to complete the PhD programme within 36 months. Training in complementary skills will be provided during the fellowship, including communication and research dissemination, IT and programming skills, ethics and professional conduct. The BCBL also provides support with living and welfare issues.
The López-Schier laboratory is looking for PhD candidates to join a multidisciplinary research project that combines experimental and computational neuroscience. The aim of the project is to understand the neuronal bases of spatial navigation. The project is fully funded and part of a consortium of experimental and theoretical neuroscientists in Germany, France and the USA. We are looking for outstanding, highly motivated and ambitious candidates with a solid background in physics, engineering, computer science, or theoretical neuroscience, and a genuine interest in animal behaviour. The positions are fully funded with ideally start in March-June 2021. You will join a multidisciplinary team at the Helmholtz Zentrum in Neuherberg-Munich, Germany. A good command of the English language is necessary. Other requirements are computer programming skills, and good understanding machine learning and machine vision. The Helmholtz Zentrum München is world-renowned for its fundamental research and is among the top research institutions in the world. Munich is cosmopolitan city with a lively lifestyle and outstanding outdoors. Candidates must send their application including a brief letter of interest, a complete CV, as well as contact information of two or three academic references to Dr. Hernan Lopez-Schier
We are looking for up to 5 postdocs. Each selected candidate will work in close collaboration with other PIs in the dBrain consortium (see below), including researchers and clinicians at Karolinska Institute and Karolinska Hospital. https://www.digitalfutures.kth.se/research/collaborative-projects/dbrain/ dBRAIN is an interdisciplinary initiative within the ‘Digital Futures’ initiative at KTH Royal Institute of Technology, Stockholm (https://www.digitalfutures.kth.se/research/collaborative-projects). The goal is to better understand neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease. We combine computational modeling, machine learning and topological data analysis to identify causal links among disease biomarkers and disease symptoms. This understanding should improve diagnosis, prediction of the disease progression and suggest better therapies.
This position lies at the interface of signal processing, behavioural neuroscience and neurofeedback. You will be playing with eye-tracking, EDA, EEG and fMRI signals, to find a real-time-like signature of attention/motivation to be used in EEG-fMRI neurofeedback sessions.
The Department of Computer Science is seeking to appoint a Lecturer/Senior Lecturer in the area of computational neuroscience, to join the Neural Computation Research Group. The appointee will be expected to take an active role in providing high quality and innovative teaching and perform internationally-leading research. Interest in developing innovative ways of integrating teaching, research and technology development will be especially welcomed.
POSITION SUMMARY Applications are invited for Flatiron Research Fellowships (FRF) at the Center for Computational Neuroscience. The CCN FRF program offers the opportunity for postdoctoral research in areas that have strong synergy with one or more of the existing research groups at CCN or other centers at the Flatiron Institute. CCN FRF’s will be assigned a primary mentor from a CCN research group or project, though affiliations and collaborations with other research groups within CCN and throughout the Flatiron Institute are encouraged. In addition to carrying out an independent research program, Flatiron Research Fellows are expected to: disseminate their results through scientific presentations, publications, and software release, collaborate with other members of the CCN or Flatiron Institute, and participate in the scientific life of the CCN and Flatiron Institute by attending seminars, colloquia, and group meetings. Flatiron Research Fellows may have the opportunity to organize workshops and to mentor graduate and undergraduate students. The mission of CCN is to develop theories, models, and computational methods that deepen our knowledge of brain function — both in health and in disease. CCN takes a “systems" neuroscience approach, building models that are motivated by fundamental principles, that are constrained by properties of neural circuits and responses, and that provide insights into perception, cognition and behavior. This cross-disciplinary approach not only leads to the design of new model-driven scientific experiments, but also encapsulates current functional descriptions of the brain that can spur the development of new engineered computational systems, especially in the realm of machine learning. CCN currently has research groups in computational vision, neural circuits and algorithms, neuroAI and geometry, and statistical analysis of neural data; interested candidates should review the CCN public website for specific information on CCN’s research areas. Review of applications for positions starting between July and October 2022 will begin in mid-January 2022. Application Materials Cover letter (optional); Curriculum Vitae with bibliography; Research statement of no more than three pages describing past work and proposed research program. Applicants are encouraged to discuss the broad impact of the past and proposed research on computational neuroscience. Applicants should also indicate the primary CCN group(s) with which they’d seek to conduct research, and any desired affiliation with other Flatiron Centers. Three (3) letters of recommendation submitted confidentially by direct email to ccnjobs@simonsfoundation.org Selection Criteria: Applicants must have a PhD in a related field or expect to receive their PhD before the start of the appointment. Applications will be evaluated based on 1) past research accomplishments 2) proposed research program 3) synergy of applicant’s expertise and research proposal topic with existing CCN staff and research programs. Education PhD in computational neuroscience or a relevant technical field such as electrical engineering, machine learning, statistics, physics, or applied math. Related Skills Flexible multi-disciplinary mindset; Strong interest and experience in the scientific study of the brain; Demonstrated abilities in analysis, software and algorithm development, modeling and/or scientific simulation; Ability to do original and outstanding research in neuroscience; Ability to work well independently as well as in a collaborative team environment. FRF positions are two-year appointments and are generally renewed for a third year, contingent on performance. FRF receive a research budget and have access to the Flatiron Institute’s powerful scientific computing resources. FRF may be eligible for subsidized housing within walking distance of the CCN. THE SIMONS FOUNDATION'S DIVERSITY COMMITMENT Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds and experiences, and we are committed to cultivating an inclusive work environment. The Simons Foundation actively seeks a diverse applicant pool and encourages candidates of all backgrounds to apply. We provide equal opportunities to all employees and applicants for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status or any other protected category under federal, state and local law.
The Cognitive and Systems Neuroscience Group is seeking a highly qualified and motivated candidate for a doctoral position in computational neuroscience, under the recently acquired NWA-ORC Consortium grant. The aim of this Consortium is to understand the fundamental principles used by our brains to integrate information in noisy environments and uncertain conditions, and then implement those principles in next-generation algorithms for safe autonomous mobility. Within the Consortium, the main objective of the present PhD project is to develop a biologically realistic computational model of multi-area brain circuits involved in multisensory perception under uncertainty. The model will be constrained by state-of-the-art neuroanatomical data (such as realistic brain connectivity and multiple cell types), and we will identify and study biological aspects of the model which contribute to an optimal integration of sensory information (following Bayesian and other principles). Model predictions will then be compared to experimental data from collaborators. The project will be supervised by Dr. Jorge Mejias, head of the Computational Neuroscience Lab, and Prof. Dr. Cyriel Pennartz, head of the Cognitive & Systems Neuroscience group. The candidate will also closely collaborate with other computational neuroscientists, experimental neuroscientists, theoreticians and machine learning experts. You are expected: -to perform research of multisensory integration and perception using computational neuroscience methods; -to review relevant literature and acquire knowledge on neurobiology, perception and computational neuroscience; -to build biologically realistic multi-area computer models of cortical circuits for multisensory perception, and compare their predictions with experimental findings; -to collaborate with other groups in the Consortium; -to take part in the teaching effort of the group, including supervision of bachelor and master students; -to write scientific manuscripts and a PhD thesis. Our offer: A temporary contract for 38 hours per week for the duration of four years (the initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended to a total duration of four years). This should lead to a dissertation (PhD thesis). We will draft an educational plan that includes attendance of courses and (international) meetings. We also expect you to assist in teaching undergraduates and master students. Based on a full-time appointment (38 hours per week) the gross monthly salary will range from €2,434 in the first year to €3,111 (scale P) in the last year. This is exclusive 8% holiday allowance and 8.3% end-of-year bonus. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Dutch Universities is applicable.