i3S is looking to recruit a senior researcher with an established international reputation in Neural Cell Biology and strong expertise in securing, managing and leading collaborative research projects and teams/institutional units.

The project seeks to identify for a reciprocal relationship between learning and sleep. This would enable sleep not only to be affected by learning, but in turn to affect subsequent learning. Should this reciprocal interaction be played out within a common set of neuroplastic mechanisms it would allow learning to prime plasticity during subsequent sleep to enhance learning the next day in an unrelated memory task. We will combine high-density sleep recording with learning tasks to identify those aspects of sleep affected by earlier learning, and affecting subsequent learning. This will expose the student to behavioural analysis, sleep analysis, and advanced modelling of EEG data to preform statistical/cluster analysis to determine the relationship between sleep, and learning performance. The student will develop a wide range of skills. We will provide training across the scientific method and technical aspects including MATLAB, sleep scoring and sleep analysis. This will ensure the student will be in a strong position for future research, or seek exciting opportunities outside of the University/academic sector. There is substantial scope for the successful applicant to sculpt the project to their interests.

Chair, Department of Mechanical Engineering - Vanderbilt University | Nashville, Tennessee Vanderbilt University School of Engineering invites nominations and applications for the Chair of the Department of Mechanical Engineering (ME) position. ME Department seeks a visionary leader and team builder who will further enhance the department’s position as a global leader in ME education and research. Reporting to the Dean of Engineering, the incoming chair is expected to build upon the department’s internationally recognized programs and lead the ME program to greater distinction and impact. Housed in the Vanderbilt University School of Engineering (VUSE), the Department of Mechanical Engineering is accredited by ABET, the Engineering Accreditation Commission, and is highly respected nationally. The ME department is home to 23 primary faculty (16 tenured/tenure track) and graduates 50-70 undergraduates annually. The department has 60-70 PhD students in its program and conducts research supported by approximately $8M of annual research expenditures. The department is recognized for its strong research excellence in surgical robotics and rehabilitation engineering, nanophotonics, nanoscale energy transport, biomaterials and biomedical microdevices, flow-structure interactions, combustion diagnosis, and additive manufacturing. The departmental faculty plays critical roles in several research centers, including the Vanderbilt Institute of Surgery and Engineering (VISE), Vanderbilt Institute of Nanoscale Science and Engineering (VINSE), the FRIST Center for Autism and Innovation, and the newly established Vanderbilt Center for Sustainability, Energy, and Climate (VSEC). The department has also developed extensive collaborative research programs including those with the Vanderbilt University Medical Center. We seek a leader who will move the department forward with a strong record of mentorship, community building, and support of others. The ideal candidate exhibits outstanding scholarship and a collegial, transparent, collaborative yet decisive, and empowering leadership style. The potential candidate must be an innovative, inclusive, and forward-looking leader with significant recognition for high-impact scholarship, a strong commitment to interdisciplinary research and education, and must have comprehensive leadership acumen in mentoring faculty, staff, and students. The department chair must effectively communicate the department’s goals and vision internally, across departments, with the dean and university leadership, and with external stakeholders, including alumni and donors. Candidates must also bring a nationally and internationally recognized and well-funded research program that will strengthen one or more of the areas of research excellence in the university. Ultimately, the department chair must be committed to Vanderbilt University’s mission to bring out the best in humanity by pushing new ideas into the frontiers of discovery and working diligently to serve others. Applications should include (i) a cover letter highlighting the vision and leadership experience of the candidate, (ii) a complete curriculum vitae, (iii) a statement of research, (iv) a statement of teaching, and (v) a minimum of three references. Application materials are to be submitted online at http://apply.interfolio.com/143969. Applications will be reviewed as they are received; those received by July 1, 2024, will be given full consideration. Ranked #18 nationally according to the U.S. News and World Report, Vanderbilt University is a private, internationally recognized research university located on 330 park-like acres 1.5 miles from downtown Nashville, Tennessee. Its ten distinct schools share a single cohesive campus that values collaboration. The University enrolls over 13,700 undergraduate, graduate, and professional students, including 38% students of color and over 1,700 international students. With over two million metro population, Nashville’s top employers include trade, transportation, and utilities; education and health services; professional and business services; government; and leisure and hospitality. Other industries include manufacturing, financial activities, construction, and information. Long known as a hub for health care and music, Nashville is a technology center with a considerable pool of health care, AI, and defense-related jobs available. In recent years, the city has experienced an influx of major office openings by some of the largest global tech companies and prime Silicon Valley startups. At Vanderbilt University, we are intentional about and assume accountability for fostering advancement and respect for equity, diversity, and inclusion for all students, faculty, and staff. Our commitment to diversity makes us who we are. We have created a community that celebrates differences and lets individuality thrive. As part of this commitment, we actively value diversity in our workplace and learning environments as we seek to take advantage of everyone's rich backgrounds and abilities. The diverse voices of Vanderbilt represent an invaluable resource for the University in its efforts to fulfill its mission and strive to be an example of excellence in higher education. Vanderbilt University is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran, or any other characteristic protected by law.

Applications are invited for a postdoctoral position investigating the computational neuroscience and computational psychiatry of cannabinoids on learning and decision-making. The position is funded as part of the “CANNABODIES” project, a 5 year European Research Council (ERC) Starting Grant awarded to Micah Allen, principal investigator of the Embodied Computation Group (link: https://www.the-ecg.org/). The candidate will have the unique chance to work at the forefront of computational modelling, neuroimaging, and cannabinoid research in a variety of different decision-making modalities, both locally and together with our international partners. The position is a full-time position and funded for an initial duration of 2 years, and can be extended up to a total of 4 years following an initial probationary period. Eligible candidates are expected to start February 1st, 2022, or as soon as possible thereafter.

Applications are invited for the Natalie Kate Moss (NKM) Research Fellowship in Brain Haemorrhage, aimed at an outstanding scientist at an early stage in their academic career (i.e. within seven years of PhD submission). The NKM Fellow should show a high level of drive and ambition in their ideas relating to the study of brain haemorrhage. Working within the newly established Geoffrey Jefferson Brain Research Centre (www.ncaresearch.org.uk/gjbrainresearch/) the NKM Fellow will benefit from a vibrant and inspiring environment to pursue outstanding research. The NKM Fellow will be mentored and given all appropriate assistance in winning external funding and awards. The NKM Fellow will receive full-time salary for 3.5 years, £100k research support costs, immediate co-supervision of a PhD student (dependent on experience) and access to key technology platforms. The post is available from 1st February 2022. https://www.jobs.manchester.ac.uk/displayjob.aspx?isPreview=Yes&jobid=21061

The position focused on developing a brain-inspired computational model using parallel, non-linear algorithms to investigate the neurogenesis complexity in large-scale systems. The successful applicant will specifically develop a neurogenic-plasticity-inspired bottom-up computational metamodel using our unique experimentally derived multidimensional parameters for a cortico-hippocampal circuit. The project aims to link computational modeling to experimental neuroscience to provide an explicit bidirectional prediction for complex performance and neurogenic network reserve for functional compensation to the brain demands in health and disease.

A NIH-funded postdoctoral position is available in the Barnard Neurobiology Lab. Our lab is in the Department of Neuroscience & Behavior at Barnard College, a liberal arts college in Manhattan affiliated with Columbia University. Imaging facilities are available at Columbia’s Zuckerman Institute which is a few blocks away. The position is fully funded for at least four years. Ideally the position would start in the summer of 2021, but the start date is flexible. We are looking for a highly motivated and accomplished scientist interested in studying circadian timekeeping and sleep in Drosophila. The research project will involve the following techniques: - Genetic manipulation of neural networks supporting timekeeping and entrainment - Behavioral analysis of clock controlled behavioral outputs - Live-imaging and immunohistochemical analysis of clock neurons Desired qualifications: The candidate should have a Ph.D. in Biology, Neuroscience, Biochemistry, or a related field. Experience with live-imaging, immunohistochemistry, or Drosophila neurobiology is desired. However, all candidates with a track record of scientific accomplishment and a strong interest in circadian biology in any species are encouraged to apply. Please submit a CV and a cover letter explaining your research and career goals. Please also include the names and contact information for three professional references. contact: mfernand@barnard.edu Application Link: https://jobs.sciencecareers.org/job/547743/postdoctoral-research-fellow/

The Jaramillo lab investigates the neural basis of expectation, attention, decision-making and learning in the context of sound-driven behaviors in mice. Projects during the postdoctoral fellowship will study these cognitive processes by monitoring and manipulating neuronal activity during adaptive behaviors with cell-type and pathway specificity using techniques such as two-photon microscopy (including mesoscope imaging), high-density electrophysiology (using Neuropixels probes), and optogenetic manipulation of neural activity.

Dr. Yao Chen’s Laboratory in the Department of Neuroscience at Washington University School of Medicine is seeking a motivated and curious scientist for a full-time senior scientist position. Our laboratory conducts fundamental research to understand how dynamics of molecular signals contribute to neuromodulator actions and sleep functions. We employ a wide variety of techniques ex vivo and in vivo, including advanced microscopy, electrophysiology, molecular biology, and behavior analysis. The principal investigator is committed to fostering a lab culture that promotes equity, kindness, rigor, and creativity This position collaborates on designing, conducting and reporting of research projects.

The successful candidate will join an innovative research program that is characterizing individual variation in language skills at behavioural, neurobiological, and genetic levels, an initiative of the Language in Interaction (LiI) consortium, sponsored by a major grant from the Netherlands Organisation for Scientific Research. The LiI consortium has developed a computer-based test battery to assess core skills underlying speaking and listening across a broad spectrum of abilities, and has already applied this to hundreds of young adults from the general population, a subset of whom are also tested with functional MRI. In parallel, saliva sampling has been used to collect DNA. The postdoctoral scientist will take the lead on the genetic aspects of the project. Specifically, they will process and analyse genome-wide genotype data from this unique resource, and use methods for analyzing polygenic contributions to human traits in order to trace genetic links to cognitive skills, childhood learning disorders, and MRI-based measures of brain structure/function, integrating with independent datasets available at the Language and Genetics department. The project will be further scaled up by applying online versions of the LiI battery to large pre-existing population-based cohorts with available genome-wide genotypes. The postdoctoral scientist will also foster connections to ongoing work by GenLang, an international network of researchers carrying out genetic association meta-analyses of multiple speech/language/reading-related cohorts across the world.

We are seeking a full-time post-doctoral research fellow to study computational and neuroscientific models of perception and cognition. The research fellow will be jointly supervised by Dr. David Brang (https://sites.lsa.umich.edu/brang-lab/) and Zhongming Liu (https://libi.engin.umich.edu). The goal of this collaboration is to build computational models of cognitive and perceptual processes using data combined from electrocorticography (ECoG) and fMRI. The successful applicant will also have freedom to conduct additional research based on their interests, using a variety of methods -- ECoG, fMRI, DTI, lesion mapping, and EEG. The ideal start date is from spring to fall 2021 and the position is expected to last for at least two years, with the possibility of extension for subsequent years. Interested applicants should email their CV, a cover letter describing their research interests and career goals, and contact information for 2-3 references to Drs. David Brang (djbrang@umich.edu) and Zhongming Liu (zmliu@umich.edu).

Three PhD students funded by BBSRC MIBTP. Please find more information on https://sites.google.com/site/jiankliu/join-us 1. Towards a functional model for associative learning and memory formation Drs Jian Liu and Rodrigo Quian Quiroga, CSN/NPB, University of Leicester 2. Neuronal coupling across spatiotemporal scales and dimensions of cortical population activity Drs Michael Okun and Jian Liu, CSN/NPB, University of Leicester 3. Decoding movement from single neurons in motor cortex and their subcortical targets Drs Todor Gerdjikov and Jian Liu, CSN/NPB, University of Leicester

Brief project description: We all know what it feels like to stop ourselves just before making a mistake. How do we stop ourselves from making mistakes? This project will elucidate how the brain detects and stops in-progress mistakes. The postdoctoral scientist will have the opportunity to study single unit spiking and local field potentials in rats during near-mistake movements, which have only been previously studied using EEG in humans. The lab uses a state-of-the-art head-fixed rat-on-a-treadmill paradigm to measure near-mistake behaviors. Rats are trained to run when they see one stimulus and remain immobile when they see another. Near-mistakes occur when the rat initiates an incorrect running response, but realizes their mistake and stops before crossing a response threshold (running distance). Recordings from the anterior cingulate cortex, motor cortex, subthalamic nucleus, and globus pallidus will be used to describe how neural circuits enable response conflict detection and engage immediate action inhibition, as well as adjustments to future behavior after a near-mistake. Optogenetics will be used to link these behavioral neurophysiology findings to the structural connectivity of individual anterior cingulate neurons. Job specifics: • Prior experience with optogenetics experiments is highly beneficial. • Being a capable MATLAB programmer is a strong benefit, but there is also room to improve your programming skills. • Experience with LFP analyses (e.g., cross-region spike-field phase locking) is beneficial. • 5 years (40,800 EUR starting salary with annual raises) funded by the Academy of Finland. • Start date is flexible. The earliest is 1 November 2020. Resources in the lab: • Head-fixed rat-on-a-treadmill behavior with locomotion and pupil size tracking during complex cognitive tasks using visual, auditory, and whisker deflection sensory stimuli • Ultra-flexible, ultra-thin (1 um) multi-electrode probes (with collaborators) • Neuropixels and silicon probe recordings during head-fixed behavior • Active collaborations with computational neuroscientists Resources in Helsinki Institute of Life Science: • AAV Vector, Lenti Virus Vector, and CRISPR/Cas9 Cores • Drug Discovery Unit • Electron Microscopy Core • Small animal SPECT-CT If interested, contact Nelson Totah at nelson.totah@helsinki.fi with your CV and a motivation letter.

We are seeking to fill a fully funded PhD position (75% TV-L 13 state employees salary scheme) in cognitive neuroscience. The successful applicant will contribute to a project, investigating selective attention and working memory processes in a multisensory context. In particular, we are interested in how the auditory and the visual system interact during the deployment of attention in multisensory environments and how audio-visual information is integrated. To answer those research questions, we primarily use the EEG in combination with cutting edge analysis methods (e.g., multivariate pattern classification). Beyond that, the application of eye-tracking or (functional) MRI is possible within the project. Your responsibilities will include conducting (EEG-) experiments, data analysis, preparation of manuscripts for publication in peer-reviewed journals, as well as presentation of scientific results at (inter-)national conferences. Official job ad: https://www.ifado.de/ifadoen/careers/current-job-offers/#job3

Apply to our fully funded, international PhD program in the Max Planck Society! IMPRS for Brain & Behavior is a PhD program in Bonn, Germany that offers a competitive world-class PhD training and research program in the field of neuroethology. IMPRS for Brain & Behavior is a collaboration between research center caesar (a neuroethology institute of the Max Planck Society), the University of Bonn, and the German Center for Neurodegenerative Disease (DZNE) in Bonn. The Projects 20 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website (https://imprs-brain-behavior.mpg.de/faculty_members) for further information on our faculty and possible doctoral projects. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn, Germany.

We are looking for a highly motivated, proactive and enthusiastic engineer for designing and building customized cages for rodent behavioural testing. This project is collaboration with the laboratories led by Jasper Poort (visual processing, PDN Department ) and Chris Proctor (bionic systems, Engineering department) groups, and aims at generating a multipurpose automatic apparatus for flexible operant conditioning across multiple sensory modalities (chiefly olfaction and vision). You will be the key person to liaise with original developers, source components, assemble and validate the apparatus, and design a data analysis pipeline. You will work in collaboration with other lab members and the ability to work in a team is essential. Moreover, you will be shadowed by an undergraduate student assigned to this project, which you will be co-supervising.

TL;DR: If you liked our last NeurIPS paper https://www.biorxiv.org/content/10.1101/2020.10.24.353409v1 and you think you can contribute and imagine, oh, the places we’ll go from here,...from one of the most loivable cities in the world, … DO apply. --- We are looking for at least two scientists to join the vogelslab.org as postdocs at the @ISTAustria near Vienna. The successful candidate will join an ongoing ERC funded project to discover families of spike-induced synaptic plasticity rules by way of numerical derivation. Together, we will define and explore search spaces of biologically plausible plasticity rules expressed e.g., as polynomial expansions or multi layer perceptrons. We aim to compare the results to various experimental and theoretical data sets, including functional spiking network models, human stem-cell derived neural network cultures, in vitro and in vivo experimental data. We are looking for someone who can expand and develop our multipurpose modular library dedicated to optimization of non-differentiable systems. Due to the modularity of the library, the candidate will have extensive freedom regarding which optimization techniques to use and what to learn in which systems, but being a team player will be a crucial skill. Depending on your (flexible, possibly immediate) starting date we can offer up to 4-year contracts with competitive salaries, benefits, vacation time and ample budget for materials and travel in a tranquil and inspiring environment. The Vogelslab, and the IST Austria is located in Klosterneuburg, a historic city northwest of Vienna. The campus is located in the middle of the beautiful landscape of the Vienna Woods, 30 minutes from downtown Vienna, the capital of Austria that consistently scores in the top cities of the world for its high standard of living. If you are interested, send an email with your application to Jessica . deAntonio [at] ist.ac.at. Your application should include your CV, your most relevant publication, contact information for 2 or more references, and a cover letter with - a short description of you & your career - a brief discussion of what you think is the greatest weakness of the above mentioned NeurIPS paper (and maybe how you would go about fixing it). We are looking to build a diverse and interesting environment, so if you bring any qualities that make our lab (and computational neuroscience at large) more diverse than it is right now, please consider applying. We will begin to evaluate applications on the 31st of April and aim to get back to you with a decision within 5 weeks of your application.

Gain expertise in rodent electrophysiology and behavior studying thalamic cellular and network mechanisms of sleep and memory consolidation. We have several openings to study the mechanisms of synaptic plasticity and cellular spike dynamics that contribute to episodic memory consolidation during sleep. Trainees will gain expertise in systems neuroscience using electrophysiology (cell ensemble and LFP recording) and behavior in rats, as well as expertise on the thalamic molecular and cellular mechanisms underlying normal and disrupted sleep-dependent memory consolidation and the use of non-invasive technologies to regulate them. Some of the projects are part of collaborations with Harvard University and the Scripps Florida Institute.

The Oldenburg lab combines optics, multiphoton optogenetics, calcium imaging, and computation to understand the motor system. The overall goal of the Oldenburg Lab is to understand the causal relationship between neural activity and motor actions. We use advanced optical techniques such as multiphoton holographic optogenetics to control neural activity with an incredible degree of precision, writing complex patterns of activity to distributed groups of cells. Only by writing activity into the brain at the scale in which it naturally occurs (individual neurons firing distinct patterns of action potentials) can we test theories of what population activity means. We read out the effects of these precise manipulations locally with calcium imaging, in neighboring brain regions with electrophysiology, and at the 'whole animal level' through changes in behavior. We are looking for curious motivated, and talented people with a wide range of skill sets to join our group at all levels from Technician to Postdoc.

The newly established Silva lab is seeking a Postdoctoral Fellow to study midline thalamic circuits in fear memory and fear extinction in the mouse. The Silva lab combines whole-brain functional tracing, chemogenetics, optogenetics and in vivo fiber photometry to investigate thalamic circuits involved in emotional regulation. We recently discovered that the nucleus reuniens of the thalamus mediates extinction of remote (older than 30 days) fear memories (Silva et al. Nat. Neurosci. 2021) and we are currently working to unravel its functional upstream and downstream partners. The successful candidate will design and implement experiments to elucidate and characterize the NRe-centered whole-brain circuit and identify its putative neurophysiological impairments in mouse models of PTSD. Experience with behavioral studies, stereotactic surgeries, programming, whole-brain microscopy or causal neuroscience is a plus, but is not required. The successful candidate should be highly motivated and have the ability to successfully lead a research project. The Silva lab is affiliated to the Institute of Neuroscience at the National Research Council of Italy and is located at the Neurocenter of the Humanitas Research Hospital in Rozzano, MI (https://www.humanitas-research.org/). Applicants should contact Bianca Silva (bianca.silva@in.cnr.it) with a current CV and a motivation letter. The position is full-time for 1 year, and renewable for other two. The position is immediately available and is funded by a 3-year grant by Cariplo Foundation. Within the first year, application to prestigious international postdoctoral fellowships (EMBO, Marie Curie, HFSP) is highly encouraged. Selected candidates will be directly contacted for interviews. After interview two reference letters will be requested.

Despite the fact that social transmission of information is vital to many group-living animals, the organizing principles governing the networks of interaction that give rise to collective properties of animal groups, remain poorly understood. The student will employ an integrated empirical and theoretical approach to investigate the relationship between individual computation (cognition at the level of the ‘nodes’ within the social network) and collective computation (computation arising from the structure of the social network). The challenge for individuals in groups is to be both robust to noise, and yet sensitive to meaningful (often small) changes in the physical or social environment, such as when a predator is present. There exist two, non mutually-exclusive, hypotheses for how individuals in groups could modulate the degree to which sensory input to the network is amplified; 1) it could be that individuals adjust internal state variable(s) (e.g. response threshold(s)), effectively adjusting the sensitivity of the “nodes” within the network to sensory input and/or 2) it could be that individuals change their spatial relationships with neighbors (such as by modulating density) such that it is changes in the structure and strength of connections in the network that modulates the information transfer capabilities, and thus collective responsiveness, of groups. Using schooling fish as a model system we will investigate these hypotheses under a range of highly controlled, ecologically-relevant scenarios that vary in terms of timescale and type of response, including during predator avoidance as well as the search for, and exploitation of, resources. We will employ technologies such as Bayesian inference and unsupervised learning techniques developed in computational neuroscience and machine learning to identify, reconstruct, and analyze the directed and time-varying sensory networks within groups, and to relate these to the functional networks of social influence. As in neuroscience, we care about stimulus-dependent, history-dependent discrete stochastic events, including burstiness, refractoriness and habituation and throughout we will seek to isolate principles that extend beyond the specificities of our system. For more information see: https://www.smartnets-etn.eu/collective-computation-in-large-animal-groups/

The UK EPSRC funded COG-MHEAR research programme is recruiting for a postdoctoral research fellow in deep neural networks for multimodal hearing assistive technology, based at Edinburgh Napier University in Scotland, UK.

We are looking for a highly motivated researcher to join our group in interdisciplinary projects that focus on the development of computational models to understand how linguistic information is represented in the human brain during multi-modal language comprehension. Computational encoding models in combination with deep learning-based machine learning techniques will be developed, compared, and applied to identify linguistic representations in the brain. The projects are conducted in collaboration with UC Berkeley.

The Cyprus Institute invites applications for a highly qualified and motivated individual to join the Institute as a Postdoctoral Research Fellow in Data-Driven Computational Science at CaStoRC. The successful candidate will conduct fundamental research in one or more of the following areas: Data mining methods, Complex network analysis, Deep learning architectures, Cross-disciplinary applications of “big data” methods in climate science, smart farming, education, health, etc. The successful candidate will also work closely with the PI in writing relevant grant proposals.