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.

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/

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.

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.

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 Computational Neuroscience Lab, recently established within the Cognitive and Systems Neuroscience Group at the University of Amsterdam (UvA), is seeking a highly qualified and motivated candidate for a postdoctoral position in computational neuroscience, under the project 'Translational biomarkers for compulsivity across large-scale brain networks'. The aim of this project is to understand the neurobiological roots of compulsivity, by identifying the neural signatures of compulsive behavior in cortical and subcortical brain regions. A combination of experimental and computational work will be used, with the presently advertised position being associated with the computational modeling part. You will develop and analyze computational models of large-scale brain networks of rodents and humans, following previous work in macaques (Mejias et al., Science Advances 2016). These new models will explicitly replicate neural dynamics underlying compulsive behavior, and will be constrained by existing anatomical, electrophysiological and clinical data from the experimental partners of the project. You will be supervised by Dr. Jorge Mejias, head of the Computational Neuroscience Lab, and the work will be carried out in close collaboration with Drs. Ingo Willuhn and Tara Arbab, from the Netherlands Institute for Neuroscience. You will also closely collaborate with other computational neuroscientists, experimental neuroscientists, clinicians, theoreticians, and machine learning experts at the UvA. You are expected: -to perform research on computational neuroscience;-to review relevant literature and acquire knowledge on neurobiology, compulsivity and computational neuroscience; -to build biologically realistic multi-area computational models of cortical circuits, and compare their predictions with experimental findings; -to collaborate and discuss regularly with other researchers in the project; -to take part in teaching efforts of the Computational Neuroscience Lab, including supervision of bachelor and Master students; -to write scientific manuscripts and present your results at meetings and conferences. Our offer: A temporary contract for 38 hours a week, preferably starting on 1 November 2021. The duration of the contract is 18 months (with a two months probation period). An extension of the contract is possible provided a positive performance of the candidate and further availability of funds. The salary, depending on relevant work experience before the beginning of the employment contract, will be €2,836 to €4,474 (scale 10) gross per month, based on a full-time contract (38 hours a week). This is exclusive 8% holiday allowance and 8.3% end-of-year bonus. A favorable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labor Agreement of Dutch Universities is applicable.

Zebrafish larva possesses a combination of assets – small dimensions, brain transparency, genetic tractability – which makes it a unique vertebrate model system to probe brain-scale neuronal dynamics. Using light-sheet microscopy, it is currently possible to monitor the activity of the entire brain at cellular resolution using functional calcium imaging, at about 1 full brain/second. The student will harness this unique opportunity to dissect the neural computation at play during sensory-driven navigation. 5-7 days old larvae will be partially restrained in agarose, i.e. with their tail free. Real-time video-monitoring of the tail beats will be used to infer virtual navigational parameters (displacement, reorientation); visual or thermal stimuli will be delivered to the larvae in a manner that will simulate a realistic navigation along light or thermal gradients. During this virtual sensory-driven navigation, the brain activity will be monitored using two-photon light-sheet functional imaging. These experiments will provide rich datasets of whole-brain activity during a complex sensorimotor task. The network dynamics will be analysed in order to extract a finite number of brain states associated with various motor programs. Starting from spontaneous navigation phases (i.e. absence of varying sensory cues), the student will analyse how different sensory cues interfere with the network endogenous dynamics to bias the probability of these different brain states and eventually favor movements along sensory gradients. For more information see: https://www.smartnets-etn.eu/whole-brain-network-dynamics-in-zebrafish-larvae-during-spontaneous-and-sensory-driven-virtual-navigation/

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

The Department of Neurophysiology, Donders Centre for Neuroscience is looking for a PhD candidate to discover targets and pathways in molecular networks. You will investigate transcriptomic and proteomic networks in neurons, and how these networks relate to experience-dependent plasticity, i.e. the changes in neuronal and network structure upon sensory input. This includes developing statistical methods for molecular target identification, and comparison of connectivity in molecular networks to connectivity in cellular networks. For more information see: https://www.ru.nl/werken-bij/vacature/details-vacature/?recid=1129025 For more information about SmartNets: https://www.smartnets-etn.eu/

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/